A citation-based method for searching scientific literature

Stefanie Warnat-Herresthal, Hartmut Schultze, Krishnaprasad Lingadahalli Shastry, Sathyanarayanan Manamohan, Saikat Mukherjee, Vishesh Garg, Ravi Sarveswara, Kristian Händler, Peter Pickkers, N Ahmad Aziz, Sofia Ktena, Florian Tran, Michael Bitzer, Stephan Ossowski, Nicolas Casadei, Christian Herr, Daniel Petersheim, Uta Behrends, Fabian Kern, Tobias Fehlmann, Philipp Schommers, Clara Lehmann, Max Augustin, Jan Rybniker, Janine Altmüller, Neha Mishra, Joana P Bernardes, Benjamin Krämer, Lorenzo Bonaguro, Jonas Schulte-Schrepping, Elena De Domenico, Christian Siever, Michael Kraut, Milind Desai, Bruno Monnet, Maria Saridaki, Charles Martin Siegel, Anna Drews, Melanie Nuesch-Germano, Heidi Theis, Jan Heyckendorf, Stefan Schreiber, Sarah Kim-Hellmuth, Jacob Nattermann, Dirk Skowasch, Ingo Kurth, Andreas Keller, Robert Bals, Peter Nürnberg, Olaf Rieß, Philip Rosenstiel, Mihai G Netea, Fabian Theis, Sach Mukherjee, Michael Backes, Anna C Aschenbrenner, Thomas Ulas, Monique M B Breteler, Evangelos J Giamarellos-Bourboulis, Matthijs Kox, Matthias Becker, Sorin Cheran, Michael S Woodacre, Eng Lim Goh, Joachim L Schultze. Nature 2021
Times Cited: 69







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



Times Cited
  Times     Co-cited
Similarity


The future of digital health with federated learning.
Nicola Rieke, Jonny Hancox, Wenqi Li, Fausto Milletarì, Holger R Roth, Shadi Albarqouni, Spyridon Bakas, Mathieu N Galtier, Bennett A Landman, Klaus Maier-Hein,[...]. NPJ Digit Med 2020
149
15

Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data.
Micah J Sheller, Brandon Edwards, G Anthony Reina, Jason Martin, Sarthak Pati, Aikaterini Kotrotsou, Mikhail Milchenko, Weilin Xu, Daniel Marcus, Rivka R Colen,[...]. Sci Rep 2020
108
14

Federated Learning for Healthcare Informatics.
Jie Xu, Benjamin S Glicksberg, Chang Su, Peter Walker, Jiang Bian, Fei Wang. J Healthc Inform Res 2021
62
9

Federated learning for predicting clinical outcomes in patients with COVID-19.
Ittai Dayan, Holger R Roth, Aoxiao Zhong, Ahmed Harouni, Amilcare Gentili, Anas Z Abidin, Andrew Liu, Anthony Beardsworth Costa, Bradford J Wood, Chien-Sung Tsai,[...]. Nat Med 2021
44
13

Federated learning of predictive models from federated Electronic Health Records.
Theodora S Brisimi, Ruidi Chen, Theofanie Mela, Alex Olshevsky, Ioannis Ch Paschalidis, Wei Shi. Int J Med Inform 2018
82
7

Secure genome-wide association analysis using multiparty computation.
Hyunghoon Cho, David J Wu, Bonnie Berger. Nat Biotechnol 2018
44
11

Deep learning.
Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015
7

Federated learning for computational pathology on gigapixel whole slide images.
Ming Y Lu, Richard J Chen, Dehan Kong, Jana Lipkova, Rajendra Singh, Drew F K Williamson, Tiffany Y Chen, Faisal Mahmood. Med Image Anal 2022
11
45

A guide to deep learning in healthcare.
Andre Esteva, Alexandre Robicquet, Bharath Ramsundar, Volodymyr Kuleshov, Mark DePristo, Katherine Chou, Claire Cui, Greg Corrado, Sebastian Thrun, Jeff Dean. Nat Med 2019
637
7

The FAIR Guiding Principles for scientific data management and stewardship.
Mark D Wilkinson, Michel Dumontier, I Jsbrand Jan Aalbersberg, Gabrielle Appleton, Myles Axton, Arie Baak, Niklas Blomberg, Jan-Willem Boiten, Luiz Bonino da Silva Santos, Philip E Bourne,[...]. Sci Data 2016
5

Realizing private and practical pharmacological collaboration.
Brian Hie, Hyunghoon Cho, Bonnie Berger. Science 2018
23
17


Artificial intelligence in COVID-19 drug repurposing.
Yadi Zhou, Fei Wang, Jian Tang, Ruth Nussinov, Feixiong Cheng. Lancet Digit Health 2020
160
5

Deep learning for healthcare: review, opportunities and challenges.
Riccardo Miotto, Fei Wang, Shuang Wang, Xiaoqian Jiang, Joel T Dudley. Brief Bioinform 2018
492
5

Swarm learning for decentralized artificial intelligence in cancer histopathology.
Oliver Lester Saldanha, Philip Quirke, Nicholas P West, Jacqueline A James, Maurice B Loughrey, Heike I Grabsch, Manuel Salto-Tellez, Elizabeth Alwers, Didem Cifci, Narmin Ghaffari Laleh,[...]. Nat Med 2022
6
66

Multi-Institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation.
Micah J Sheller, G Anthony Reina, Brandon Edwards, Jason Martin, Spyridon Bakas. Brainlesion 2019
62
4

Secure large-scale genome-wide association studies using homomorphic encryption.
Marcelo Blatt, Alexander Gusev, Yuriy Polyakov, Shafi Goldwasser. Proc Natl Acad Sci U S A 2020
7
42

Routes for breaching and protecting genetic privacy.
Yaniv Erlich, Arvind Narayanan. Nat Rev Genet 2014
158
4

Blockchain distributed ledger technologies for biomedical and health care applications.
Tsung-Ting Kuo, Hyeon-Eui Kim, Lucila Ohno-Machado. J Am Med Inform Assoc 2017
144
4

DataSHIELD: taking the analysis to the data, not the data to the analysis.
Amadou Gaye, Yannick Marcon, Julia Isaeva, Philippe LaFlamme, Andrew Turner, Elinor M Jones, Joel Minion, Andrew W Boyd, Christopher J Newby, Marja-Liisa Nuotio,[...]. Int J Epidemiol 2014
105
4

Deriving genomic diagnoses without revealing patient genomes.
Karthik A Jagadeesh, David J Wu, Johannes A Birgmeier, Dan Boneh, Gill Bejerano. Science 2017
41
7

The UK Biobank resource with deep phenotyping and genomic data.
Clare Bycroft, Colin Freeman, Desislava Petkova, Gavin Band, Lloyd T Elliott, Kevin Sharp, Allan Motyer, Damjan Vukcevic, Olivier Delaneau, Jared O'Connell,[...]. Nature 2018
4

Realizing the potential of blockchain technologies in genomics.
Halil Ibrahim Ozercan, Atalay Mert Ileri, Erman Ayday, Can Alkan. Genome Res 2018
32
9


A SARS-CoV-2 protein interaction map reveals targets for drug repurposing.
David E Gordon, Gwendolyn M Jang, Mehdi Bouhaddou, Jiewei Xu, Kirsten Obernier, Kris M White, Matthew J O'Meara, Veronica V Rezelj, Jeffrey Z Guo, Danielle L Swaney,[...]. Nature 2020
4

The future of digital health with federated learning.
Nicola Rieke, Jonny Hancox, Wenqi Li, Fausto Milletarì, Holger R Roth, Shadi Albarqouni, Spyridon Bakas, Mathieu N Galtier, Bennett A Landman, Klaus Maier-Hein,[...]. NPJ Digit Med 2020
50
6

Dissecting racial bias in an algorithm used to manage the health of populations.
Ziad Obermeyer, Brian Powers, Christine Vogeli, Sendhil Mullainathan. Science 2019
704
4

Privacy challenges and research opportunities for genomic data sharing.
Luca Bonomi, Yingxiang Huang, Lucila Ohno-Machado. Nat Genet 2020
31
9

Identifying personal genomes by surname inference.
Melissa Gymrek, Amy L McGuire, David Golan, Eran Halperin, Yaniv Erlich. Science 2013
499
4

Gender imbalance in medical imaging datasets produces biased classifiers for computer-aided diagnosis.
Agostina J Larrazabal, Nicolás Nieto, Victoria Peterson, Diego H Milone, Enzo Ferrante. Proc Natl Acad Sci U S A 2020
78
4

Severe COVID-19 Is Marked by a Dysregulated Myeloid Cell Compartment.
Jonas Schulte-Schrepping, Nico Reusch, Daniela Paclik, Kevin Baßler, Stephan Schlickeiser, Bowen Zhang, Benjamin Krämer, Tobias Krammer, Sophia Brumhard, Lorenzo Bonaguro,[...]. Cell 2020
650
4

MIMIC-III, a freely accessible critical care database.
Alistair E W Johnson, Tom J Pollard, Lu Shen, Li-Wei H Lehman, Mengling Feng, Mohammad Ghassemi, Benjamin Moody, Peter Szolovits, Leo Anthony Celi, Roger G Mark. Sci Data 2016
4

Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist.
Beau Norgeot, Giorgio Quer, Brett K Beaulieu-Jones, Ali Torkamani, Raquel Dias, Milena Gianfrancesco, Rima Arnaout, Isaac S Kohane, Suchi Saria, Eric Topol,[...]. Nat Med 2020
102
4

International evaluation of an AI system for breast cancer screening.
Scott Mayer McKinney, Marcin Sieniek, Varun Godbole, Jonathan Godwin, Natasha Antropova, Hutan Ashrafian, Trevor Back, Mary Chesus, Greg S Corrado, Ara Darzi,[...]. Nature 2020
555
4

Classification and mutation prediction from non-small cell lung cancer histopathology images using deep learning.
Nicolas Coudray, Paolo Santiago Ocampo, Theodore Sakellaropoulos, Navneet Narula, Matija Snuderl, David Fenyö, Andre L Moreira, Narges Razavian, Aristotelis Tsirigos. Nat Med 2018
818
4

Harnessing multimodal data integration to advance precision oncology.
Kevin M Boehm, Pegah Khosravi, Rami Vanguri, Jianjiong Gao, Sohrab P Shah. Nat Rev Cancer 2022
30
10

Pan-cancer computational histopathology reveals mutations, tumor composition and prognosis.
Yu Fu, Alexander W Jung, Ramon Viñas Torne, Santiago Gonzalez, Harald Vöhringer, Artem Shmatko, Lucy R Yates, Mercedes Jimenez-Linan, Luiza Moore, Moritz Gerstung. Nat Cancer 2020
97
4

Development and validation of deep learning classifiers to detect Epstein-Barr virus and microsatellite instability status in gastric cancer: a retrospective multicentre cohort study.
Hannah Sophie Muti, Lara Rosaline Heij, Gisela Keller, Meike Kohlruss, Rupert Langer, Bastian Dislich, Jae-Ho Cheong, Young-Woo Kim, Hyunki Kim, Myeong-Cherl Kook,[...]. Lancet Digit Health 2021
26
11

Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer.
Jakob Nikolas Kather, Alexander T Pearson, Niels Halama, Dirk Jäger, Jeremias Krause, Sven H Loosen, Alexander Marx, Peter Boor, Frank Tacke, Ulf Peter Neumann,[...]. Nat Med 2019
350
4

Deep learning in cancer pathology: a new generation of clinical biomarkers.
Amelie Echle, Niklas Timon Rindtorff, Titus Josef Brinker, Tom Luedde, Alexander Thomas Pearson, Jakob Nikolas Kather. Br J Cancer 2021
74
4

The impact of site-specific digital histology signatures on deep learning model accuracy and bias.
Frederick M Howard, James Dolezal, Sara Kochanny, Jefree Schulte, Heather Chen, Lara Heij, Dezheng Huo, Rita Nanda, Olufunmilayo I Olopade, Jakob N Kather,[...]. Nat Commun 2021
26
11

Development and validation of a weakly supervised deep learning framework to predict the status of molecular pathways and key mutations in colorectal cancer from routine histology images: a retrospective study.
Mohsin Bilal, Shan E Ahmed Raza, Ayesha Azam, Simon Graham, Mohammad Ilyas, Ian A Cree, David Snead, Fayyaz Minhas, Nasir M Rajpoot. Lancet Digit Health 2021
33
9


Predicting Adverse Drug Reactions on Distributed Health Data using Federated Learning.
Olivia Choudhury, Yoonyoung Park, Theodoros Salonidis, Aris Gkoulalas-Divanis, Issa Sylla, Amar K Das. AMIA Annu Symp Proc 2020
14
21

Truly privacy-preserving federated analytics for precision medicine with multiparty homomorphic encryption.
David Froelicher, Juan R Troncoso-Pastoriza, Jean Louis Raisaro, Michel A Cuendet, Joao Sa Sousa, Hyunghoon Cho, Bonnie Berger, Jacques Fellay, Jean-Pierre Hubaux. Nat Commun 2021
11
27


Expression quantitative trait loci: present and future.
Alexandra C Nica, Emmanouil T Dermitzakis. Philos Trans R Soc Lond B Biol Sci 2013
220
2

Methylation array data can simultaneously identify individuals and convey protected health information: an unrecognized ethical concern.
Robert A Philibert, Nicolas Terry, Cheryl Erwin, Winter J Philibert, Steven Rh Beach, Gene H Brody. Clin Epigenetics 2014
25
8

mRNA-Seq whole-transcriptome analysis of a single cell.
Fuchou Tang, Catalin Barbacioru, Yangzhou Wang, Ellen Nordman, Clarence Lee, Nanlan Xu, Xiaohui Wang, John Bodeau, Brian B Tuch, Asim Siddiqui,[...]. Nat Methods 2009
2

A fast learning algorithm for deep belief nets.
Geoffrey E Hinton, Simon Osindero, Yee-Whye Teh. Neural Comput 2006
2


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.