A citation-based method for searching scientific literature

Jeffrey N Weitzel, Veronica I Lagos, Carey A Cullinane, Patricia J Gambol, Julie O Culver, Kathleen R Blazer, Melanie R Palomares, Katrina J Lowstuter, Deborah J MacDonald. JAMA 2007
Times Cited: 130







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



Times Cited
  Times     Co-cited
Similarity


BRCA1/2 Mutations and Bevacizumab in the Neoadjuvant Treatment of Breast Cancer: Response and Prognosis Results in Patients With Triple-Negative Breast Cancer From the GeparQuinto Study.
Peter A Fasching, Sibylle Loibl, Chunling Hu, Steven N Hart, Hermela Shimelis, Raymond Moore, Christian Schem, Hans Tesch, Michael Untch, Jörn Hilfrich,[...]. J Clin Oncol 2018
45
2

Role of magnetic resonance imaging in the planning of breast cancer treatment strategies: comparison with conventional imaging techniques.
Luciana Karla Lira França, Almir Galvão Vieira Bitencourt, Hugo Lamartine Souza Paiva, Caroline Baptista Silva, Nara Pacheco Pereira, Jociana Paludo, Luciana Graziano, Camila Souza Guatelli, Juliana Alves de Souza, Elvira Ferreira Marques. Radiol Bras 2017
11
9

Quantitative analysis of lesion morphology and texture features for diagnostic prediction in breast MRI.
Ke Nie, Jeon-Hor Chen, Hon J Yu, Yong Chu, Orhan Nalcioglu, Min-Ying Su. Acad Radiol 2008
127
1

Regularization Paths for Generalized Linear Models via Coordinate Descent.
Jerome Friedman, Trevor Hastie, Rob Tibshirani. J Stat Softw 2010
1

Computer-aided diagnosis of breast DCE-MRI using pharmacokinetic model and 3-D morphology analysis.
Teh-Chen Wang, Yan-Hao Huang, Chiun-Sheng Huang, Jeon-Hor Chen, Guei-Yu Huang, Yeun-Chung Chang, Ruey-Feng Chang. Magn Reson Imaging 2014
25
4


Radiomics: extracting more information from medical images using advanced feature analysis.
Philippe Lambin, Emmanuel Rios-Velazquez, Ralph Leijenaar, Sara Carvalho, Ruud G P M van Stiphout, Patrick Granton, Catharina M L Zegers, Robert Gillies, Ronald Boellard, André Dekker,[...]. Eur J Cancer 2012
1

Radiomics: a new application from established techniques.
Vishwa Parekh, Michael A Jacobs. Expert Rev Precis Med Drug Dev 2016
128
1

Computerized analysis of mammographic parenchymal patterns for assessing breast cancer risk: effect of ROI size and location.
Hui Li, Maryellen L Giger, Zhimin Huo, Olufunmilayo I Olopade, Li Lan, Barbara L Weber, Ioana Bonta. Med Phys 2004
45
2

Genomic rearrangements in BRCA1 and BRCA2: A literature review.
Ingrid Petroni Ewald, Patricia Lisboa Izetti Ribeiro, Edenir Inêz Palmero, Silvia Liliana Cossio, Roberto Giugliani, Patricia Ashton-Prolla. Genet Mol Biol 2009
61
1

Triple-negative breast cancer: correlation between MR imaging and pathologic findings.
Takayoshi Uematsu, Masako Kasami, Sachiko Yuen. Radiology 2009
203
1

Accuracy in risk understanding among BRCA1/2-mutation carriers.
Dorothee Speiser, Felix G Rebitschek, Markus A Feufel, Hannah Brand, Laura Besch, Friederike Kendel. Patient Educ Couns 2019
5
20

Quantification of breast tumor heterogeneity for ER status, HER2 status, and TN molecular subtype evaluation on DCE-MRI.
Ruey-Feng Chang, Hong-Hao Chen, Yeun-Chung Chang, Chiun-Sheng Huang, Jeon-Hor Chen, Chung-Ming Lo. Magn Reson Imaging 2016
42
2

Preliminary Study on Molecular Subtypes of Breast Cancer Based on Magnetic Resonance Imaging Texture Analysis.
Xinru Sun, Bing He, Xin Luo, Yuhua Li, Jinfeng Cao, Jinlan Wang, Jun Dong, Xiaoyu Sun, Guangxia Zhang. J Comput Assist Tomogr 2018
14
7

Is BRCA mutational status a predictor of platinum-based chemotherapy related hematologic toxicity in high-grade serous ovarian cancer patients?
Federica Tomao, Lucia Musacchio, Federica Di Mauro, Serena Maria Boccia, Violante Di Donato, Antonella Giancotti, Giorgia Perniola, Innocenza Palaia, Ludovico Muzii, Pierluigi Benedetti Panici. Gynecol Oncol 2019
7
14

Gene panel sequencing in familial breast/ovarian cancer patients identifies multiple novel mutations also in genes others than BRCA1/2.
Cornelia Kraus, Juliane Hoyer, Georgia Vasileiou, Marius Wunderle, Michael P Lux, Peter A Fasching, Mandy Krumbiegel, Steffen Uebe, Miriam Reuter, Matthias W Beckmann,[...]. Int J Cancer 2017
62
1

STANDARDIZATION AND THE GROUP LASSO PENALTY.
Noah Simon, Robert Tibshirani. Stat Sin 2012
25
4

Addition of triple negativity of breast cancer as an indicator for germline mutations in predisposing genes increases sensitivity of clinical selection criteria.
Juliane Hoyer, Georgia Vasileiou, Steffen Uebe, Marius Wunderle, Cornelia Kraus, Peter A Fasching, Christian T Thiel, Arndt Hartmann, Matthias W Beckmann, Michael P Lux,[...]. BMC Cancer 2018
6
16

Using automated texture features to determine the probability for masking of a tumor on mammography, but not ultrasound.
Lothar Häberle, Carolin C Hack, Katharina Heusinger, Florian Wagner, Sebastian M Jud, Michael Uder, Matthias W Beckmann, Rüdiger Schulz-Wendtland, Thomas Wittenberg, Peter A Fasching. Eur J Med Res 2017
3
33


Breast tumor characteristics of BRCA1 and BRCA2 gene mutation carriers on MRI.
J Veltman, R Mann, T Kok, I M Obdeijn, N Hoogerbrugge, J G Blickman, C Boetes. Eur Radiol 2008
39
2

Characterization of breast cancer types by texture analysis of magnetic resonance images.
Kirsi Holli, Anna-Leena Lääperi, Lara Harrison, Tiina Luukkaala, Terttu Toivonen, Pertti Ryymin, Prasun Dastidar, Seppo Soimakallio, Hannu Eskola. Acad Radiol 2010
93
1

MRI texture analysis in differentiating luminal A and luminal B breast cancer molecular subtypes - a feasibility study.
Kirsi Holli-Helenius, Annukka Salminen, Irina Rinta-Kiikka, Ilkka Koskivuo, Nina Brück, Pia Boström, Riitta Parkkola. BMC Med Imaging 2017
46
2



The risk of contralateral breast cancer in patients from BRCA1/2 negative high risk families as compared to patients from BRCA1 or BRCA2 positive families: a retrospective cohort study.
Kerstin Rhiem, Christoph Engel, Monika Graeser, Silke Zachariae, Karin Kast, Marion Kiechle, Nina Ditsch, Wolfgang Janni, Christoph Mundhenke, Michael Golatta,[...]. Breast Cancer Res 2012
58
1

Association of BRCA Mutation Types, Imaging Features, and Pathologic Findings in Patients With Breast Cancer With BRCA1 and BRCA2 Mutations.
Su Min Ha, Eun Young Chae, Joo Hee Cha, Hak Hee Kim, Hee Jung Shin, Woo Jung Choi. AJR Am J Roentgenol 2017
25
4

Immunophenotypic predictive profiling of BRCA1-associated breast cancer.
Pawel Domagala, Tomasz Huzarski, Jan Lubinski, Karol Gugala, Wenancjusz Domagala. Virchows Arch 2011
22
4


Integrating somatic variant data and biomarkers for germline variant classification in cancer predisposition genes.
Michael F Walsh, Deborah I Ritter, Chimene Kesserwan, Dmitriy Sonkin, Debyani Chakravarty, Elizabeth Chao, Rajarshi Ghosh, Yelena Kemel, Gang Wu, Kristy Lee,[...]. Hum Mutat 2018
16
6

Physician interpretation of variants of uncertain significance.
Sarah K Macklin, Jessica L Jackson, Paldeep S Atwal, Stephanie L Hines. Fam Cancer 2019
26
3

Biallelic mutations in BRCA1 cause a new Fanconi anemia subtype.
Sarah L Sawyer, Lei Tian, Marketta Kähkönen, Jeremy Schwartzentruber, Martin Kircher, Jacek Majewski, David A Dyment, A Micheil Innes, Kym M Boycott, Lisa A Moreau,[...]. Cancer Discov 2015
197
1

Pathogenic Germline Variants in 10,389 Adult Cancers.
Kuan-Lin Huang, R Jay Mashl, Yige Wu, Deborah I Ritter, Jiayin Wang, Clara Oh, Marta Paczkowska, Sheila Reynolds, Matthew A Wyczalkowski, Ninad Oak,[...]. Cell 2018
278
1

BRCA1/2 mutations are not a common cause of malignant melanoma in the Polish population.
Tadeusz Dębniak, Rodney J Scott, Bohdan Górski, Bartłomiej Masojć, Andrzej Kram, Romuald Maleszka, Cezary Cybulski, Katarzyna Paszkowska-Szczur, Aniruddh Kashyap, Dawid Murawa,[...]. PLoS One 2018
6
16

Personalized Medicine in the Oncology Clinic: Implementation and Outcomes of the Johns Hopkins Molecular Tumor Board.
W Brian Dalton, Patrick M Forde, Hyunseok Kang, Roisin M Connolly, Vered Stearns, Christopher D Gocke, James R Eshleman, Jennifer Axilbund, Dana Petry, Cindy Geoghegan,[...]. JCO Precis Oncol 2017
35
2


NCCN Guidelines Insights: Genetic/Familial High-Risk Assessment: Breast, Ovarian, and Pancreatic, Version 1.2020.
Mary B Daly, Robert Pilarski, Matthew B Yurgelun, Michael P Berry, Saundra S Buys, Patricia Dickson, Susan M Domchek, Ahmed Elkhanany, Susan Friedman, Judy E Garber,[...]. J Natl Compr Canc Netw 2020
120
1

The landscape of genomic alterations across childhood cancers.
Susanne N Gröbner, Barbara C Worst, Joachim Weischenfeldt, Ivo Buchhalter, Kortine Kleinheinz, Vasilisa A Rudneva, Pascal D Johann, Gnana Prakash Balasubramanian, Maia Segura-Wang, Sebastian Brabetz,[...]. Nature 2018
499
1

Pan-cancer genome and transcriptome analyses of 1,699 paediatric leukaemias and solid tumours.
Xiaotu Ma, Yu Liu, Yanling Liu, Ludmil B Alexandrov, Michael N Edmonson, Charles Gawad, Xin Zhou, Yongjin Li, Michael C Rusch, John Easton,[...]. Nature 2018
303
1

Precision oncology based on omics data: The NCT Heidelberg experience.
Peter Horak, Barbara Klink, Christoph Heining, Stefan Gröschel, Barbara Hutter, Martina Fröhlich, Sebastian Uhrig, Daniel Hübschmann, Matthias Schlesner, Roland Eils,[...]. Int J Cancer 2017
72
1

Reversion and non-reversion mechanisms of resistance to PARP inhibitor or platinum chemotherapy in BRCA1/2-mutant metastatic breast cancer.
A G Waks, O Cohen, B Kochupurakkal, D Kim, C E Dunn, J Buendia Buendia, S Wander, K Helvie, M R Lloyd, L Marini,[...]. Ann Oncol 2020
41
2

Association of biallelic BRCA2/FANCD1 mutations with spontaneous chromosomal instability and solid tumors of childhood.
Betsy Hirsch, Akiko Shimamura, Lisa Moreau, Shari Baldinger, Maha Hag-alshiekh, Bruce Bostrom, Susan Sencer, Alan D D'Andrea. Blood 2004
121
1

BOADICEA: a comprehensive breast cancer risk prediction model incorporating genetic and nongenetic risk factors.
Andrew Lee, Nasim Mavaddat, Amber N Wilcox, Alex P Cunningham, Tim Carver, Simon Hartley, Chantal Babb de Villiers, Angel Izquierdo, Jacques Simard, Marjanka K Schmidt,[...]. Genet Med 2019
143
1

Discriminating somatic and germline mutations in tumor DNA samples without matching normals.
Saskia Hiltemann, Guido Jenster, Jan Trapman, Peter van der Spek, Andrew Stubbs. Genome Res 2015
45
2

Large scale multifactorial likelihood quantitative analysis of BRCA1 and BRCA2 variants: An ENIGMA resource to support clinical variant classification.
Michael T Parsons, Emma Tudini, Hongyan Li, Eric Hahnen, Barbara Wappenschmidt, Lidia Feliubadaló, Cora M Aalfs, Simona Agata, Kristiina Aittomäki, Elisa Alducci,[...]. Hum Mutat 2019
45
2

Criteria of the German Consortium for Hereditary Breast and Ovarian Cancer for the Classification of Germline Sequence Variants in Risk Genes for Hereditary Breast and Ovarian Cancer.
Barbara Wappenschmidt, Jan Hauke, Ulrike Faust, Dieter Niederacher, Lisa Wiesmüller, Gunnar Schmidt, Evi Groß, Andrea Gehrig, Christian Sutter, Juliane Ramser,[...]. Geburtshilfe Frauenheilkd 2020
4
25

ClinGen--the Clinical Genome Resource.
Heidi L Rehm, Jonathan S Berg, Lisa D Brooks, Carlos D Bustamante, James P Evans, Melissa J Landrum, David H Ledbetter, Donna R Maglott, Christa Lese Martin, Robert L Nussbaum,[...]. N Engl J Med 2015
511
1

Spectrum and Prevalence of Pathogenic Variants in Ovarian Cancer Susceptibility Genes in a Group of 333 Patients.
Magdalena Koczkowska, Natalia Krawczynska, Maciej Stukan, Alina Kuzniacka, Izabela Brozek, Marcin Sniadecki, Jaroslaw Debniak, Dariusz Wydra, Wojciech Biernat, Piotr Kozlowski,[...]. Cancers (Basel) 2018
17
5

Assessment of the Clinical Relevance of BRCA2 Missense Variants by Functional and Computational Approaches.
Lucia Guidugli, Hermela Shimelis, David L Masica, Vernon S Pankratz, Gary B Lipton, Namit Singh, Chunling Hu, Alvaro N A Monteiro, Noralane M Lindor, David E Goldgar,[...]. Am J Hum Genet 2018
35
2

Accelerating Discovery of Functional Mutant Alleles in Cancer.
Matthew T Chang, Tripti Shrestha Bhattarai, Alison M Schram, Craig M Bielski, Mark T A Donoghue, Philip Jonsson, Debyani Chakravarty, Sarah Phillips, Cyriac Kandoth, Alexander Penson,[...]. Cancer Discov 2018
123
1


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.