A citation-based method for searching scientific literature

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, Ursula Beetles, Soujanya Gadde, Yit Lim, Anil Jain, Sara Bundred, Nicola Barr, Valerie Reece, Anthony Howell, Jack Cuzick, D Gareth R Evans. Breast Cancer Res 2015
Times Cited: 101







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



Times Cited
  Times     Co-cited
Similarity


A breast cancer prediction model incorporating familial and personal risk factors.
Jonathan Tyrer, Stephen W Duffy, Jack Cuzick. Stat Med 2004
662
56

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
48

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
338
41

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
30

Mammographic breast density refines Tyrer-Cuzick estimates of breast cancer risk in high-risk women: findings from the placebo arm of the International Breast Cancer Intervention Study I.
Jane Warwick, Hanna Birke, Jennifer Stone, Ruth M L Warren, Elizabeth Pinney, Adam R Brentnall, Stephen W Duffy, Anthony Howell, Jack Cuzick. Breast Cancer Res 2014
44
52

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
239
23

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
23

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
111
20

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
491
18

Breast Cancer Screening for Women at Average Risk: 2015 Guideline Update From the American Cancer Society.
Kevin C Oeffinger, Elizabeth T H Fontham, Ruth Etzioni, Abbe Herzig, James S Michaelson, Ya-Chen Tina Shih, Louise C Walter, Timothy R Church, Christopher R Flowers, Samuel J LaMonte,[...]. JAMA 2015
725
18


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
182
18

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
17

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
74
22

Prospective breast cancer risk prediction model for women undergoing screening mammography.
William E Barlow, Emily White, Rachel Ballard-Barbash, Pamela M Vacek, Linda Titus-Ernstoff, Patricia A Carney, Jeffrey A Tice, Diana S M Buist, Berta M Geller, Robert Rosenberg,[...]. J Natl Cancer Inst 2006
284
16

Mammographic breast density and the Gail model for breast cancer risk prediction in a screening population.
Jeffrey A Tice, Steven R Cummings, Elad Ziv, Karla Kerlikowske. Breast Cancer Res Treat 2005
160
16

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
189
16

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
92
16

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
57
26

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
264
14

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
414
14

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
69
20

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
105
14

Digital mammographic density and breast cancer risk: a case-control study of six alternative density assessment methods.
Amanda Eng, Zoe Gallant, John Shepherd, Valerie McCormack, Jingmei Li, Mitch Dowsett, Sarah Vinnicombe, Steve Allen, Isabel dos-Santos-Silva. Breast Cancer Res 2014
122
13

Comparison of Clinical and Automated Breast Density Measurements: Implications for Risk Prediction and Supplemental Screening.
Kathleen R Brandt, Christopher G Scott, Lin Ma, Amir P Mahmoudzadeh, Matthew R Jensen, Dana H Whaley, Fang Fang Wu, Serghei Malkov, Carrie B Hruska, Aaron D Norman,[...]. Radiology 2016
92
14

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
39
33

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
72
18

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
306
12


Breast density as a predictor of mammographic detection: comparison of interval- and screen-detected cancers.
M T Mandelson, N Oestreicher, P L Porter, D White, C A Finder, S H Taplin, E White. J Natl Cancer Inst 2000
638
12

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
63
19

A Deep Learning Mammography-based Model for Improved Breast Cancer Risk Prediction.
Adam Yala, Constance Lehman, Tal Schuster, Tally Portnoi, Regina Barzilay. Radiology 2019
101
12


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
135
11

Tamoxifen-induced reduction in mammographic density and breast cancer risk reduction: a nested case-control study.
Jack Cuzick, Jane Warwick, Elizabeth Pinney, Stephen W Duffy, Simon Cawthorn, Anthony Howell, John F Forbes, Ruth M L Warren. J Natl Cancer Inst 2011
270
11

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
41
26



Large-scale genotyping identifies 41 new loci associated with breast cancer risk.
Kyriaki Michailidou, Per Hall, Anna Gonzalez-Neira, Maya Ghoussaini, Joe Dennis, Roger L Milne, Marjanka K Schmidt, Jenny Chang-Claude, Stig E Bojesen, Manjeet K Bolla,[...]. Nat Genet 2013
755
10

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
756
10

Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring.
Michiel Kallenberg, Kersten Petersen, Mads Nielsen, Andrew Y Ng, Pengfei Diao, Christian Igel, Celine M Vachon, Katharina Holland, Rikke Rass Winkel, Nico Karssemeijer,[...]. IEEE Trans Med Imaging 2016
120
10


Evaluation of the Tyrer-Cuzick (International Breast Cancer Intervention Study) model for breast cancer risk prediction in women with atypical hyperplasia.
Judy C Boughey, Lynn C Hartmann, Stephanie S Anderson, Amy C Degnim, Robert A Vierkant, Carol A Reynolds, Marlene H Frost, V Shane Pankratz. J Clin Oncol 2010
71
14

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
286
10

Validation of Rosner-Colditz breast cancer incidence model using an independent data set, the California Teachers Study.
B A Rosner, G A Colditz, S E Hankinson, J Sullivan-Halley, J V Lacey, L Bernstein. Breast Cancer Res Treat 2013
30
33

Variation in Mammographic Breast Density Assessments Among Radiologists in Clinical Practice: A Multicenter Observational Study.
Brian L Sprague, Emily F Conant, Tracy Onega, Michael P Garcia, Elisabeth F Beaber, Sally D Herschorn, Constance D Lehman, Anna N A Tosteson, Ronilda Lacson, Mitchell D Schnall,[...]. Ann Intern Med 2016
77
12

Assessing individual breast cancer risk within the U.K. National Health Service Breast Screening Program: a new paradigm for cancer prevention.
D Gareth R Evans, Jane Warwick, Susan M Astley, Paula Stavrinos, Sarah Sahin, Sarah Ingham, Helen McBurney, Barbara Eckersley, Michelle Harvie, Mary Wilson,[...]. Cancer Prev Res (Phila) 2012
66
15

A systematic review of breast cancer incidence risk prediction models with meta-analysis of their performance.
Catherine Meads, Ikhlaaq Ahmed, Richard D Riley. Breast Cancer Res Treat 2012
103
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
83
12

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
501
9


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.