A citation-based method for searching scientific literature

Laura K M Han, Richard Dinga, Tim Hahn, Christopher R K Ching, Lisa T Eyler, Lyubomir Aftanas, Moji Aghajani, André Aleman, Bernhard T Baune, Klaus Berger, Ivan Brak, Geraldo Busatto Filho, Angela Carballedo, Colm G Connolly, Baptiste Couvy-Duchesne, Kathryn R Cullen, Udo Dannlowski, Christopher G Davey, Danai Dima, Fabio L S Duran, Verena Enneking, Elena Filimonova, Stefan Frenzel, Thomas Frodl, Cynthia H Y Fu, Beata R Godlewska, Ian H Gotlib, Hans J Grabe, Nynke A Groenewold, Dominik Grotegerd, Oliver Gruber, Geoffrey B Hall, Ben J Harrison, Sean N Hatton, Marco Hermesdorf, Ian B Hickie, Tiffany C Ho, Norbert Hosten, Andreas Jansen, Claas Kähler, Tilo Kircher, Bonnie Klimes-Dougan, Bernd Krämer, Axel Krug, Jim Lagopoulos, Ramona Leenings, Frank P MacMaster, Glenda MacQueen, Andrew McIntosh, Quinn McLellan, Katie L McMahon, Sarah E Medland, Bryon A Mueller, Benson Mwangi, Evgeny Osipov, Maria J Portella, Elena Pozzi, Liesbeth Reneman, Jonathan Repple, Pedro G P Rosa, Matthew D Sacchet, Philipp G Sämann, Knut Schnell, Anouk Schrantee, Egle Simulionyte, Jair C Soares, Jens Sommer, Dan J Stein, Olaf Steinsträter, Lachlan T Strike, Sophia I Thomopoulos, Marie-José van Tol, Ilya M Veer, Robert R J M Vermeiren, Henrik Walter, Nic J A van der Wee, Steven J A van der Werff, Heather Whalley, Nils R Winter, Katharina Wittfeld, Margaret J Wright, Mon-Ju Wu, Henry Völzke, Tony T Yang, Vasileios Zannias, Greig I de Zubicaray, Giovana B Zunta-Soares, Christoph Abé, Martin Alda, Ole A Andreassen, Erlend Bøen, Caterina M Bonnin, Erick J Canales-Rodriguez, Dara Cannon, Xavier Caseras, Tiffany M Chaim-Avancini, Torbjørn Elvsåshagen, Pauline Favre, Sonya F Foley, Janice M Fullerton, Jose M Goikolea, Bartholomeus C M Haarman, Tomas Hajek, Chantal Henry, Josselin Houenou, Fleur M Howells, Martin Ingvar, Rayus Kuplicki, Beny Lafer, Mikael Landén, Rodrigo Machado-Vieira, Ulrik F Malt, Colm McDonald, Philip B Mitchell, Leila Nabulsi, Maria Concepcion Garcia Otaduy, Bronwyn J Overs, Mircea Polosan, Edith Pomarol-Clotet, Joaquim Radua, Maria M Rive, Gloria Roberts, Henricus G Ruhe, Raymond Salvador, Salvador Sarró, Theodore D Satterthwaite, Jonathan Savitz, Aart H Schene, Peter R Schofield, Mauricio H Serpa, Kang Sim, Marcio Gerhardt Soeiro-de-Souza, Ashley N Sutherland, Henk S Temmingh, Garrett M Timmons, Anne Uhlmann, Eduard Vieta, Daniel H Wolf, Marcus V Zanetti, Neda Jahanshad, Paul M Thompson, Dick J Veltman, Brenda W J H Penninx, Andre F Marquand, James H Cole, Lianne Schmaal. Mol Psychiatry 2020
Times Cited: 18







List of co-cited articles
131 articles co-cited >1



Times Cited
  Times     Co-cited
Similarity


Accelerated brain aging in schizophrenia and beyond: a neuroanatomical marker of psychiatric disorders.
Nikolaos Koutsouleris, Christos Davatzikos, Stefan Borgwardt, Christian Gaser, Ronald Bottlender, Thomas Frodl, Peter Falkai, Anita Riecher-Rössler, Hans-Jürgen Möller, Maximilian Reiser,[...]. Schizophr Bull 2014
178
66

Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker.
James H Cole, Rudra P K Poudel, Dimosthenis Tsagkrasoulis, Matthan W A Caan, Claire Steves, Tim D Spector, Giovanni Montana. Neuroimage 2017
166
44

Predicting Age Using Neuroimaging: Innovative Brain Ageing Biomarkers.
James H Cole, Katja Franke. Trends Neurosci 2017
155
44

Common brain disorders are associated with heritable patterns of apparent aging of the brain.
Tobias Kaufmann, Dennis van der Meer, Nhat Trung Doan, Emanuel Schwarz, Martina J Lund, Ingrid Agartz, Dag Alnæs, Deanna M Barch, Ramona Baur-Streubel, Alessandro Bertolino,[...]. Nat Neurosci 2019
79
38

Prediction of brain age suggests accelerated atrophy after traumatic brain injury.
James H Cole, Robert Leech, David J Sharp. Ann Neurol 2015
141
38

Estimation of brain age delta from brain imaging.
Stephen M Smith, Diego Vidaurre, Fidel Alfaro-Almagro, Thomas E Nichols, Karla L Miller. Neuroimage 2019
50
33

BrainAGE in Mild Cognitive Impaired Patients: Predicting the Conversion to Alzheimer's Disease.
Christian Gaser, Katja Franke, Stefan Klöppel, Nikolaos Koutsouleris, Heinrich Sauer. PLoS One 2013
168
33


Accelerated Brain Aging in Schizophrenia: A Longitudinal Pattern Recognition Study.
Hugo G Schnack, Neeltje E M van Haren, Mireille Nieuwenhuis, Hilleke E Hulshoff Pol, Wiepke Cahn, René S Kahn. Am J Psychiatry 2016
135
33


Brain age and other bodily 'ages': implications for neuropsychiatry.
James H Cole, Riccardo E Marioni, Sarah E Harris, Ian J Deary. Mol Psychiatry 2019
80
33

An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest.
Rahul S Desikan, Florent Ségonne, Bruce Fischl, Brian T Quinn, Bradford C Dickerson, Deborah Blacker, Randy L Buckner, Anders M Dale, R Paul Maguire, Bradley T Hyman,[...]. Neuroimage 2006
27

Cortical abnormalities in adults and adolescents with major depression based on brain scans from 20 cohorts worldwide in the ENIGMA Major Depressive Disorder Working Group.
L Schmaal, D P Hibar, P G Sämann, G B Hall, B T Baune, N Jahanshad, J W Cheung, T G M van Erp, D Bos, M A Ikram,[...]. Mol Psychiatry 2017
360
27

Subcortical brain alterations in major depressive disorder: findings from the ENIGMA Major Depressive Disorder working group.
L Schmaal, D J Veltman, T G M van Erp, P G Sämann, T Frodl, N Jahanshad, E Loehrer, H Tiemeier, A Hofman, W J Niessen,[...]. Mol Psychiatry 2016
460
27

Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain.
Bruce Fischl, David H Salat, Evelina Busa, Marilyn Albert, Megan Dieterich, Christian Haselgrove, Andre van der Kouwe, Ron Killiany, David Kennedy, Shuna Klaveness,[...]. Neuron 2002
27


Predicting brain-age from multimodal imaging data captures cognitive impairment.
Franziskus Liem, Gaël Varoquaux, Jana Kynast, Frauke Beyer, Shahrzad Kharabian Masouleh, Julia M Huntenburg, Leonie Lampe, Mehdi Rahim, Alexandre Abraham, R Cameron Craddock,[...]. Neuroimage 2017
129
22

Brain age predicts mortality.
J H Cole, S J Ritchie, M E Bastin, M C Valdés Hernández, S Muñoz Maniega, N Royle, J Corley, A Pattie, S E Harris, Q Zhang,[...]. Mol Psychiatry 2018
157
22

BrainAGE score indicates accelerated brain aging in schizophrenia, but not bipolar disorder.
Igor Nenadić, Maren Dietzek, Kerstin Langbein, Heinrich Sauer, Christian Gaser. Psychiatry Res Neuroimaging 2017
49
22

Age prediction on the basis of brain anatomical measures.
S A Valizadeh, J Hänggi, S Mérillat, L Jäncke. Hum Brain Mapp 2017
40
22

Effect of Ibuprofen on BrainAGE: A Randomized, Placebo-Controlled, Dose-Response Exploratory Study.
Trang T Le, Rayus Kuplicki, Hung-Wen Yeh, Robin L Aupperle, Sahib S Khalsa, W Kyle Simmons, Martin P Paulus. Biol Psychiatry Cogn Neurosci Neuroimaging 2018
11
36

Cortical Brain Abnormalities in 4474 Individuals With Schizophrenia and 5098 Control Subjects via the Enhancing Neuro Imaging Genetics Through Meta Analysis (ENIGMA) Consortium.
Theo G M van Erp, Esther Walton, Derrek P Hibar, Lianne Schmaal, Wenhao Jiang, David C Glahn, Godfrey D Pearlson, Nailin Yao, Masaki Fukunaga, Ryota Hashimoto,[...]. Biol Psychiatry 2018
208
22

Brain Age in Early Stages of Bipolar Disorders or Schizophrenia.
Tomas Hajek, Katja Franke, Marian Kolenic, Jana Capkova, Martin Matejka, Lukas Propper, Rudolf Uher, Pavla Stopkova, Tomas Novak, Tomas Paus,[...]. Schizophr Bull 2019
29
22

Brain maturation: predicting individual BrainAGE in children and adolescents using structural MRI.
Katja Franke, Eileen Luders, Arne May, Marko Wilke, Christian Gaser. Neuroimage 2012
117
22

Brain age prediction using deep learning uncovers associated sequence variants.
B A Jonsson, G Bjornsdottir, T E Thorgeirsson, L M Ellingsen, G Bragi Walters, D F Gudbjartsson, H Stefansson, K Stefansson, M O Ulfarsson. Nat Commun 2019
26
22

Assessing distinct patterns of cognitive aging using tissue-specific brain age prediction based on diffusion tensor imaging and brain morphometry.
Geneviève Richard, Knut Kolskår, Anne-Marthe Sanders, Tobias Kaufmann, Anders Petersen, Nhat Trung Doan, Jennifer Monereo Sánchez, Dag Alnæs, Kristine M Ulrichsen, Erlend S Dørum,[...]. PeerJ 2018
28
16

Predicting age from cortical structure across the lifespan.
Christopher R Madan, Elizabeth A Kensinger. Eur J Neurosci 2018
28
16

Critical ages in the life course of the adult brain: nonlinear subcortical aging.
Anders M Fjell, Lars T Westlye, Håkon Grydeland, Inge Amlien, Thomas Espeseth, Ivar Reinvang, Naftali Raz, Dominic Holland, Anders M Dale, Kristine B Walhovd. Neurobiol Aging 2013
182
16

Quantitative neurobiological evidence for accelerated brain aging in alcohol dependence.
Matthias Guggenmos, Katharina Schmack, Maria Sekutowicz, Maria Garbusow, Miriam Sebold, Christian Sommer, Michael N Smolka, Hans-Ulrich Wittchen, Ulrich S Zimmermann, Andreas Heinz,[...]. Transl Psychiatry 2017
29
16

A Nonlinear Simulation Framework Supports Adjusting for Age When Analyzing BrainAGE.
Trang T Le, Rayus T Kuplicki, Brett A McKinney, Hung-Wen Yeh, Wesley K Thompson, Martin P Paulus. Front Aging Neurosci 2018
52
16

Gaussian process uncertainty in age estimation as a measure of brain abnormality.
Benjamin Gutierrez Becker, Tassilo Klein, Christian Wachinger. Neuroimage 2018
16
18

Assessing and tuning brain decoders: Cross-validation, caveats, and guidelines.
Gaël Varoquaux, Pradeep Reddy Raamana, Denis A Engemann, Andrés Hoyos-Idrobo, Yannick Schwartz, Bertrand Thirion. Neuroimage 2017
209
16

Advanced BrainAGE in older adults with type 2 diabetes mellitus.
Katja Franke, Christian Gaser, Brad Manor, Vera Novak. Front Aging Neurosci 2013
73
16

Differences between chronological and brain age are related to education and self-reported physical activity.
Jason Steffener, Christian Habeck, Deirdre O'Shea, Qolamreza Razlighi, Louis Bherer, Yaakov Stern. Neurobiol Aging 2016
76
16

Evaluation of non-negative matrix factorization of grey matter in age prediction.
Deepthi P Varikuti, Sarah Genon, Aristeidis Sotiras, Holger Schwender, Felix Hoffstaedter, Kaustubh R Patil, Christiane Jockwitz, Svenja Caspers, Susanne Moebus, Katrin Amunts,[...]. Neuroimage 2018
26
16



UK biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age.
Cathie Sudlow, John Gallacher, Naomi Allen, Valerie Beral, Paul Burton, John Danesh, Paul Downey, Paul Elliott, Jane Green, Martin Landray,[...]. PLoS Med 2015
16

An automated machine learning approach to predict brain age from cortical anatomical measures.
Jessica Dafflon, Walter H L Pinaya, Federico Turkheimer, James H Cole, Robert Leech, Mathew A Harris, Simon R Cox, Heather C Whalley, Andrew M McIntosh, Peter J Hellyer. Hum Brain Mapp 2020
5
60

Subcortical brain volume abnormalities in 2028 individuals with schizophrenia and 2540 healthy controls via the ENIGMA consortium.
T G M van Erp, D P Hibar, J M Rasmussen, D C Glahn, G D Pearlson, O A Andreassen, I Agartz, L T Westlye, U K Haukvik, A M Dale,[...]. Mol Psychiatry 2016
390
16

White matter disturbances in major depressive disorder: a coordinated analysis across 20 international cohorts in the ENIGMA MDD working group.
Laura S van Velzen, Sinead Kelly, Dmitry Isaev, Andre Aleman, Lyubomir I Aftanas, Jochen Bauer, Bernhard T Baune, Ivan V Brak, Angela Carballedo, Colm G Connolly,[...]. Mol Psychiatry 2020
51
16

Interactive impact of childhood maltreatment, depression, and age on cortical brain structure: mega-analytic findings from a large multi-site cohort.
Leonardo Tozzi, Lisa Garczarek, Deborah Janowitz, Dan J Stein, Katharina Wittfeld, Henrik Dobrowolny, Jim Lagopoulos, Sean N Hatton, Ian B Hickie, Angela Carballedo,[...]. Psychol Med 2020
16
18

Brain maturation in adolescence and young adulthood: regional age-related changes in cortical thickness and white matter volume and microstructure.
Christian K Tamnes, Ylva Ostby, Anders M Fjell, Lars T Westlye, Paulina Due-Tønnessen, Kristine B Walhovd. Cereb Cortex 2010
462
16

Longitudinal Assessment of Multiple Sclerosis with the Brain-Age Paradigm.
James H Cole, Joel Raffel, Tim Friede, Arman Eshaghi, Wallace J Brownlee, Declan Chard, Nicola De Stefano, Christian Enzinger, Lukas Pirpamer, Massimo Filippi,[...]. Ann Neurol 2020
10
30

Accurate brain age prediction with lightweight deep neural networks.
Han Peng, Weikang Gong, Christian F Beckmann, Andrea Vedaldi, Stephen M Smith. Med Image Anal 2021
13
23

Commentary: Correction procedures in brain-age prediction.
Ann-Marie G de Lange, James H Cole. Neuroimage Clin 2020
17
17

Brain age prediction: Cortical and subcortical shape covariation in the developing human brain.
Yihong Zhao, Arno Klein, F Xavier Castellanos, Michael P Milham. Neuroimage 2019
8
37

MRI signatures of brain age and disease over the lifespan based on a deep brain network and 14 468 individuals worldwide.
Vishnu M Bashyam, Guray Erus, Jimit Doshi, Mohamad Habes, Ilya Nasrallah, Monica Truelove-Hill, Dhivya Srinivasan, Liz Mamourian, Raymond Pomponio, Yong Fan,[...]. Brain 2020
19
16

Analysis of shared heritability in common disorders of the brain.
Verneri Anttila, Brendan Bulik-Sullivan, Hilary K Finucane, Raymond K Walters, Jose Bras, Laramie Duncan, Valentina Escott-Price, Guido J Falcone, Padhraig Gormley, Rainer Malik,[...]. Science 2018
622
16

Machine-learning based brain age estimation in major depression showing no evidence of accelerated aging.
Bianca Besteher, Christian Gaser, Igor Nenadić. Psychiatry Res Neuroimaging 2019
8
37


Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.