A citation-based method for searching scientific literature

Javier Louro, Margarita Posso, Michele Hilton Boon, Marta Román, Laia Domingo, Xavier Castells, María Sala. Br J Cancer 2019
Times Cited: 49







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



Times Cited
  Times     Co-cited
Similarity


Projecting individualized probabilities of developing breast cancer for white females who are being examined annually.
M H Gail, L A Brinton, D P Byar, D K Corle, S B Green, C Schairer, J J Mulvihill. J Natl Cancer Inst 1989
40

A breast cancer prediction model incorporating familial and personal risk factors.
Jonathan Tyrer, Stephen W Duffy, Jack Cuzick. Stat Med 2004
696
36

10-year performance of four models of breast cancer risk: a validation study.
Mary Beth Terry, Yuyan Liao, Alice S Whittemore, Nicole Leoce, Richard Buchsbaum, Nur Zeinomar, Gillian S Dite, Wendy K Chung, Julia A Knight, Melissa C Southey,[...]. Lancet Oncol 2019
72
32

Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes.
Nasim Mavaddat, Kyriaki Michailidou, Joe Dennis, Michael Lush, Laura Fachal, Andrew Lee, Jonathan P Tyrer, Ting-Huei Chen, Qin Wang, Manjeet K Bolla,[...]. Am J Hum Genet 2019
328
24

Using clinical factors and mammographic breast density to estimate breast cancer risk: development and validation of a new predictive model.
Jeffrey A Tice, Steven R Cummings, Rebecca Smith-Bindman, Laura Ichikawa, William E Barlow, Karla Kerlikowske. Ann Intern Med 2008
352
24

Cost-effectiveness and Benefit-to-Harm Ratio of Risk-Stratified Screening for Breast Cancer: A Life-Table Model.
Nora Pashayan, Steve Morris, Fiona J Gilbert, Paul D P Pharoah. JAMA Oncol 2018
125
22

Use of Single-Nucleotide Polymorphisms and Mammographic Density Plus Classic Risk Factors for Breast Cancer Risk Prediction.
Elke M van Veen, Adam R Brentnall, Helen Byers, Elaine F Harkness, Susan M Astley, Sarah Sampson, Anthony Howell, William G Newman, Jack Cuzick, D Gareth R Evans. JAMA Oncol 2018
64
22

Breast cancer risk models: a comprehensive overview of existing models, validation, and clinical applications.
Jessica A Cintolo-Gonzalez, Danielle Braun, Amanda L Blackford, Emanuele Mazzola, Ahmet Acar, Jennifer K Plichta, Molly Griffin, Kevin S Hughes. Breast Cancer Res Treat 2017
81
20

Long-term Accuracy of Breast Cancer Risk Assessment Combining Classic Risk Factors and Breast Density.
Adam R Brentnall, Jack Cuzick, Diana S M Buist, Erin J Aiello Bowles. JAMA Oncol 2018
94
20

Addition of a polygenic risk score, mammographic density, and endogenous hormones to existing breast cancer risk prediction models: A nested case-control study.
Xuehong Zhang, Megan Rice, Shelley S Tworoger, Bernard A Rosner, A Heather Eliassen, Rulla M Tamimi, Amit D Joshi, Sara Lindstrom, Jing Qian, Graham A Colditz,[...]. PLoS Med 2018
48
20

Comparative Validation of Breast Cancer Risk Prediction Models and Projections for Future Risk Stratification.
Parichoy Pal Choudhury, Amber N Wilcox, Mark N Brook, Yan Zhang, Thomas Ahearn, Nick Orr, Penny Coulson, Minouk J Schoemaker, Michael E Jones, Mitchell H Gail,[...]. J Natl Cancer Inst 2020
43
20

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
183
18


Mammographic density adds accuracy to both the Tyrer-Cuzick and Gail breast cancer risk models in a prospective UK screening cohort.
Adam R Brentnall, Elaine F Harkness, Susan M Astley, Louise S Donnelly, Paula Stavrinos, Sarah Sampson, Lynne Fox, Jamie C Sergeant, Michelle N Harvie, Mary Wilson,[...]. Breast Cancer Res 2015
112
16

A clinical model for identifying the short-term risk of breast cancer.
Mikael Eriksson, Kamila Czene, Yudi Pawitan, Karin Leifland, Hatef Darabi, Per Hall. Breast Cancer Res 2017
46
15

Breast cancer pathology and stage are better predicted by risk stratification models that include mammographic density and common genetic variants.
D Gareth R Evans, Elaine F Harkness, Adam R Brentnall, Elke M van Veen, Susan M Astley, Helen Byers, Sarah Sampson, Jake Southworth, Paula Stavrinos, Sacha J Howell,[...]. Breast Cancer Res Treat 2019
30
23

Breast Cancer Screening in the Precision Medicine Era: Risk-Based Screening in a Population-Based Trial.
Yiwey Shieh, Martin Eklund, Lisa Madlensky, Sarah D Sawyer, Carlie K Thompson, Allison Stover Fiscalini, Elad Ziv, Laura J Van't Veer, Laura J Esserman, Jeffrey A Tice. J Natl Cancer Inst 2017
101
14

iCARE: An R package to build, validate and apply absolute risk models.
Parichoy Pal Choudhury, Paige Maas, Amber Wilcox, William Wheeler, Mark Brook, David Check, Montserrat Garcia-Closas, Nilanjan Chatterjee. PLoS One 2020
26
23

The BOADICEA model of genetic susceptibility to breast and ovarian cancer.
A C Antoniou, P P D Pharoah, P Smith, D F Easton. Br J Cancer 2004
296
12

The benefits and harms of breast cancer screening: an independent review.
M G Marmot, D G Altman, D A Cameron, J A Dewar, S G Thompson, M Wilcox. Br J Cancer 2013
494
12

Projecting individualized absolute invasive breast cancer risk in Asian and Pacific Islander American women.
Rayna K Matsuno, Joseph P Costantino, Regina G Ziegler, Garnet L Anderson, Huilin Li, David Pee, Mitchell H Gail. J Natl Cancer Inst 2011
99
12

Prediction of breast cancer risk based on profiling with common genetic variants.
Nasim Mavaddat, Paul D P Pharoah, Kyriaki Michailidou, Jonathan Tyrer, Mark N Brook, Manjeet K Bolla, Qin Wang, Joe Dennis, Alison M Dunning, Mitul Shah,[...]. J Natl Cancer Inst 2015
322
12

Benign breast disease and the risk of breast cancer.
Lynn C Hartmann, Thomas A Sellers, Marlene H Frost, Wilma L Lingle, Amy C Degnim, Karthik Ghosh, Robert A Vierkant, Shaun D Maloney, V Shane Pankratz, David W Hillman,[...]. N Engl J Med 2005
517
12

Breast cancer risk prediction using a clinical risk model and polygenic risk score.
Yiwey Shieh, Donglei Hu, Lin Ma, Scott Huntsman, Charlotte C Gard, Jessica W T Leung, Jeffrey A Tice, Celine M Vachon, Steven R Cummings, Karla Kerlikowske,[...]. Breast Cancer Res Treat 2016
76
12

Breast Cancer Risk From Modifiable and Nonmodifiable Risk Factors Among White Women in the United States.
Paige Maas, Myrto Barrdahl, Amit D Joshi, Paul L Auer, Mia M Gaudet, Roger L Milne, Fredrick R Schumacher, William F Anderson, David Check, Subham Chattopadhyay,[...]. JAMA Oncol 2016
171
10

Breast Cancer Risk Model Requirements for Counseling, Prevention, and Screening.
Mitchell H Gail, Ruth M Pfeiffer. J Natl Cancer Inst 2018
25
20

The BOADICEA model of genetic susceptibility to breast and ovarian cancers: updates and extensions.
A C Antoniou, A P Cunningham, J Peto, D G Evans, F Lalloo, S A Narod, H A Risch, J E Eyfjord, J L Hopper, M C Southey,[...]. Br J Cancer 2008
319
10

Breast density and parenchymal patterns as markers of breast cancer risk: a meta-analysis.
Valerie A McCormack, Isabel dos Santos Silva. Cancer Epidemiol Biomarkers Prev 2006
10

Breast cancer risk feedback to women in the UK NHS breast screening population.
D Gareth R Evans, Louise S Donnelly, Elaine F Harkness, Susan M Astley, Paula Stavrinos, Sarah Dawe, Donna Watterson, Lynne Fox, Jamie C Sergeant, Sarah Ingham,[...]. Br J Cancer 2016
48
10

BOADICEA breast cancer risk prediction model: updates to cancer incidences, tumour pathology and web interface.
A J Lee, A P Cunningham, K B Kuchenbaecker, N Mavaddat, D F Easton, A C Antoniou. Br J Cancer 2014
140
10

Mammographic density and the risk and detection of breast cancer.
Norman F Boyd, Helen Guo, Lisa J Martin, Limei Sun, Jennifer Stone, Eve Fishell, Roberta A Jong, Greg Hislop, Anna Chiarelli, Salomon Minkin,[...]. N Engl J Med 2007
10

Projecting individualized absolute invasive breast cancer risk in African American women.
Mitchell H Gail, Joseph P Costantino, David Pee, Melissa Bondy, Lisa Newman, Mano Selvan, Garnet L Anderson, Kathleen E Malone, Polly A Marchbanks, Worta McCaskill-Stevens,[...]. J Natl Cancer Inst 2007
196
10

Use of Endocrine Therapy for Breast Cancer Risk Reduction: ASCO Clinical Practice Guideline Update.
Kala Visvanathan, Carol J Fabian, Elissa Bantug, Abenaa M Brewster, Nancy E Davidson, Andrea DeCensi, Justin D Floyd, Judy E Garber, Erin W Hofstatter, Seema A Khan,[...]. J Clin Oncol 2019
65
10

Assessing the performance of prediction models: a framework for traditional and novel measures.
Ewout W Steyerberg, Andrew J Vickers, Nancy R Cook, Thomas Gerds, Mithat Gonen, Nancy Obuchowski, Michael J Pencina, Michael W Kattan. Epidemiology 2010
10

Cost-effectiveness and harm-benefit analyses of risk-based screening strategies for breast cancer.
Ester Vilaprinyo, Carles Forné, Misericordia Carles, Maria Sala, Roger Pla, Xavier Castells, Laia Domingo, Montserrat Rue. PLoS One 2014
90
10

Developing and evaluating polygenic risk prediction models for stratified disease prevention.
Nilanjan Chatterjee, Jianxin Shi, Montserrat García-Closas. Nat Rev Genet 2016
332
10

The contributions of breast density and common genetic variation to breast cancer risk.
Celine M Vachon, V Shane Pankratz, Christopher G Scott, Lothar Haeberle, Elad Ziv, Matthew R Jensen, Kathleen R Brandt, Dana H Whaley, Janet E Olson, Katharina Heusinger,[...]. J Natl Cancer Inst 2015
120
10

Association analysis identifies 65 new breast cancer risk loci.
Kyriaki Michailidou, Sara Lindström, Joe Dennis, Jonathan Beesley, Shirley Hui, Siddhartha Kar, Audrey Lemaçon, Penny Soucy, Dylan Glubb, Asha Rostamianfar,[...]. Nature 2017
583
10

Breast Density and Benign Breast Disease: Risk Assessment to Identify Women at High Risk of Breast Cancer.
Jeffrey A Tice, Diana L Miglioretti, Chin-Shang Li, Celine M Vachon, Charlotte C Gard, Karla Kerlikowske. J Clin Oncol 2015
122
10


Personalized early detection and prevention of breast cancer: ENVISION consensus statement.
Nora Pashayan, Antonis C Antoniou, Urska Ivanus, Laura J Esserman, Douglas F Easton, David French, Gaby Sroczynski, Per Hall, Jack Cuzick, D Gareth Evans,[...]. Nat Rev Clin Oncol 2020
66
10

Clinical applications of polygenic breast cancer risk: a critical review and perspectives of an emerging field.
Tatiane Yanes, Mary-Anne Young, Bettina Meiser, Paul A James. Breast Cancer Res 2020
50
10

Assessment of breast cancer risk: which tools to use?
Montserrat Garcia-Closas, Nilanjan Chatterjee. Lancet Oncol 2019
6
66

A response to "Personalised medicine and population health: breast and ovarian cancer".
Antonis Antoniou, Hoda Anton-Culver, Alexander Borowsky, Mireille Broeders, Jennifer Brooks, Anna Chiarelli, Jocelyne Chiquette, Jack Cuzick, Suzette Delaloge, Peter Devilee,[...]. Hum Genet 2019
11
36

Validation of the breast cancer surveillance consortium model of breast cancer risk.
Jeffrey A Tice, Michael C S Bissell, Diana L Miglioretti, Charlotte C Gard, Garth H Rauscher, Firas M Dabbous, Karla Kerlikowske. Breast Cancer Res Treat 2019
28
14

Mammography screening: A major issue in medicine.
Philippe Autier, Mathieu Boniol. Eur J Cancer 2018
56
8

Women's decision-making regarding risk-stratified breast cancer screening and prevention from the perspective of international healthcare professionals.
Linda Rainey, Daniëlle van der Waal, Louise S Donnelly, D Gareth Evans, Yvonne Wengström, Mireille Broeders. PLoS One 2018
18
22

Quantitative classification of mammographic densities and breast cancer risk: results from the Canadian National Breast Screening Study.
N F Boyd, J W Byng, R A Jong, E K Fishell, L E Little, A B Miller, G A Lockwood, D L Tritchler, M J Yaffe. J Natl Cancer Inst 1995
768
8


Supplemental MRI Screening for Women with Extremely Dense Breast Tissue.
Marije F Bakker, Stéphanie V de Lange, Ruud M Pijnappel, Ritse M Mann, Petra H M Peeters, Evelyn M Monninkhof, Marleen J Emaus, Claudette E Loo, Robertus H C Bisschops, Marc B I Lobbes,[...]. N Engl J Med 2019
185
8


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.