A citation-based method for searching scientific literature

Jonathan Tyrer, Stephen W Duffy, Jack Cuzick. Stat Med 2004
Times Cited: 600







List of co-cited articles
704 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
50

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
96
27

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
313
21

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
48
41

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
270
20

American Cancer Society guidelines for breast screening with MRI as an adjunct to mammography.
Debbie Saslow, Carla Boetes, Wylie Burke, Steven Harms, Martin O Leach, Constance D Lehman, Elizabeth Morris, Etta Pisano, Mitchell Schnall, Stephen Sener,[...]. CA Cancer J Clin 2007
19

Validation studies for models projecting the risk of invasive and total breast cancer incidence.
J P Costantino, M H Gail, D Pee, S Anderson, C K Redmond, J Benichou, H S Wieand. J Natl Cancer Inst 1999
448
18

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
64
26


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
189
16

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
16

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
279
15

Evaluation of breast cancer risk assessment packages in the family history evaluation and screening programme.
E Amir, D G Evans, A Shenton, F Lalloo, A Moran, C Boggis, M Wilson, A Howell. J Med Genet 2003
166
14

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
94
14

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
58
22

Validation of the Gail et al. model of breast cancer risk prediction and implications for chemoprevention.
B Rockhill, D Spiegelman, C Byrne, D J Hunter, G A Colditz. J Natl Cancer Inst 2001
374
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
281
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
84
14

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
173
12

A systematic review and quality assessment of individualised breast cancer risk prediction models.
Javier Louro, Margarita Posso, Michele Hilton Boon, Marta Román, Laia Domingo, Xavier Castells, María Sala. Br J Cancer 2019
26
46

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
412
10

Breast Cancer Risk Prediction Using Clinical Models and 77 Independent Risk-Associated SNPs for Women Aged Under 50 Years: Australian Breast Cancer Family Registry.
Gillian S Dite, Robert J MacInnis, Adrian Bickerstaffe, James G Dowty, Richard Allman, Carmel Apicella, Roger L Milne, Helen Tsimiklis, Kelly-Anne Phillips, Graham G Giles,[...]. Cancer Epidemiol Biomarkers Prev 2016
61
16

Gene-panel sequencing and the prediction of breast-cancer risk.
Douglas F Easton, Paul D P Pharoah, Antonis C Antoniou, Marc Tischkowitz, Sean V Tavtigian, Katherine L Nathanson, Peter Devilee, Alfons Meindl, Fergus J Couch, Melissa Southey,[...]. N Engl J Med 2015
459
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

A Deep Learning Mammography-based Model for Improved Breast Cancer Risk Prediction.
Adam Yala, Constance Lehman, Tal Schuster, Tally Portnoi, Regina Barzilay. Radiology 2019
83
12

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
49
18

Projecting absolute invasive breast cancer risk in white women with a model that includes mammographic density.
Jinbo Chen, David Pee, Rajeev Ayyagari, Barry Graubard, Catherine Schairer, Celia Byrne, Jacques Benichou, Mitchell H Gail. J Natl Cancer Inst 2006
229
9

Effects of tamoxifen vs raloxifene on the risk of developing invasive breast cancer and other disease outcomes: the NSABP Study of Tamoxifen and Raloxifene (STAR) P-2 trial.
Victor G Vogel, Joseph P Costantino, D Lawrence Wickerham, Walter M Cronin, Reena S Cecchini, James N Atkins, Therese B Bevers, Louis Fehrenbacher, Eduardo R Pajon, James L Wade,[...]. JAMA 2006
970
9



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
108
8

Impact of a Panel of 88 Single Nucleotide Polymorphisms on the Risk of Breast Cancer in High-Risk Women: Results From Two Randomized Tamoxifen Prevention Trials.
Jack Cuzick, Adam R Brentnall, Corrinne Segal, Helen Byers, Caroline Reuter, Simone Detre, Elena Lopez-Knowles, Ivana Sestak, Anthony Howell, Trevor J Powles,[...]. J Clin Oncol 2017
33
24

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
56
14

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
134
8

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
75
10

Incorporating truncating variants in PALB2, CHEK2, and ATM into the BOADICEA breast cancer risk model.
Andrew J Lee, Alex P Cunningham, Marc Tischkowitz, Jacques Simard, Paul D Pharoah, Douglas F Easton, Antonis C Antoniou. Genet Med 2016
38
21


Probability of carrying a mutation of breast-ovarian cancer gene BRCA1 based on family history.
D A Berry, G Parmigiani, J Sanchez, J Schildkraut, E Winer. J Natl Cancer Inst 1997
223
8

Tamoxifen for prevention of breast cancer: report of the National Surgical Adjuvant Breast and Bowel Project P-1 Study.
B Fisher, J P Costantino, D L Wickerham, C K Redmond, M Kavanah, W M Cronin, V Vogel, A Robidoux, N Dimitrov, J Atkins,[...]. J Natl Cancer Inst 1998
8


Risk Assessment, Genetic Counseling, and Genetic Testing for BRCA-Related Cancer: US Preventive Services Task Force Recommendation Statement.
Douglas K Owens, Karina W Davidson, Alex H Krist, Michael J Barry, Michael Cabana, Aaron B Caughey, Chyke A Doubeni, John W Epling, Martha Kubik, C Seth Landefeld,[...]. JAMA 2019
93
8

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
91
8

Breast cancer risk assessment across the risk continuum: genetic and nongenetic risk factors contributing to differential model performance.
Anne S Quante, Alice S Whittemore, Tom Shriver, Konstantin Strauch, Mary B Terry. Breast Cancer Res 2012
65
10

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
67
10

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
18
38

Assessing women at high risk of breast cancer: a review of risk assessment models.
Eitan Amir, Orit C Freedman, Bostjan Seruga, D Gareth Evans. J Natl Cancer Inst 2010
239
7

A Case-Control Study to Add Volumetric or Clinical Mammographic Density into the Tyrer-Cuzick Breast Cancer Risk Model.
Adam R Brentnall, Wendy F Cohn, William A Knaus, Martin J Yaffe, Jack Cuzick, Jennifer A Harvey. J Breast Imaging 2019
12
58

Clinical characteristics of individuals with germline mutations in BRCA1 and BRCA2: analysis of 10,000 individuals.
Thomas S Frank, Amie M Deffenbaugh, Julia E Reid, Mark Hulick, Brian E Ward, Beth Lingenfelter, Kathi L Gumpper, Thomas Scholl, Sean V Tavtigian, Dmitry R Pruss,[...]. J Clin Oncol 2002
475
7

Projecting Individualized Absolute Invasive Breast Cancer Risk in US Hispanic Women.
Matthew P Banegas, Esther M John, Martha L Slattery, Scarlett Lin Gomez, Mandi Yu, Andrea Z LaCroix, David Pee, Rowan T Chlebowski, Lisa M Hines, Cynthia A Thompson,[...]. J Natl Cancer Inst 2016
21
33

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
26
26


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.