A citation-based method for searching scientific literature

Antonis Antoniou, Hoda Anton-Culver, Alexander Borowsky, Mireille Broeders, Jennifer Brooks, Anna Chiarelli, Jocelyne Chiquette, Jack Cuzick, Suzette Delaloge, Peter Devilee, Michael Dorval, Douglas Easton, Andrea Eisen, Martin Eklund, Laurence Eloy, Laura Esserman, Montserrat Garcia-Closas, David Goldgar, Per Hall, Bartha Maria Knoppers, Peter Kraft, Andrea La Croix, Lisa Madalensky, Nasim Mavaddat, Nicole Mittman, Hermann Nabi, Olufunmilayo Olopade, Nora Pashayan, Marjanka Schmidt, Yiwey Shieh, Jacques Simard, Allison Stover-Fiscallini, Jeffrey A Tice, Laura Van't Veer, Neil Wenger, Michael Wolfson, Christina Yau, Elad Ziv. Hum Genet 2019
Times Cited: 11







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



Times Cited
  Times     Co-cited
Similarity


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
109
72

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
42
36

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
41
36

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
61
36

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
297
36

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
36


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
92
36

Assessment of breast cancer risk: which tools to use?
Montserrat Garcia-Closas, Nilanjan Chatterjee. Lancet Oncol 2019
5
60

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
23
27

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
162
27

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
166
27

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
117
27

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
28
27

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
549
27

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
73
27



The personal and clinical utility of polygenic risk scores.
Ali Torkamani, Nathan E Wineinger, Eric J Topol. Nat Rev Genet 2018
488
27

"A Natural Progression": Australian Women's Attitudes About an Individualized Breast Screening Model.
Jocelyn Lippey, Louise A Keogh, G Bruce Mann, Ian G Campbell, Laura E Forrest. Cancer Prev Res (Phila) 2019
12
27

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
51
27

Genome-wide polygenic scores for common diseases identify individuals with risk equivalent to monogenic mutations.
Amit V Khera, Mark Chaffin, Krishna G Aragam, Mary E Haas, Carolina Roselli, Seung Hoan Choi, Pradeep Natarajan, Eric S Lander, Steven A Lubitz, Patrick T Ellinor,[...]. Nat Genet 2018
946
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
318
18

Have we seen the geneticisation of society? Expectations and evidence.
Kate Weiner, Paul Martin, Martin Richards, Richard Tutton. Sociol Health Illn 2017
12
18

Standards for reporting qualitative research: a synthesis of recommendations.
Bridget C O'Brien, Ilene B Harris, Thomas J Beckman, Darcy A Reed, David A Cook. Acad Med 2014
18

Does personalized melanoma genomic risk information trigger conversations about skin cancer prevention and skin examination with family, friends and health professionals?
A K Smit, L A Keogh, A J Newson, P N Butow, K Dunlop, R L Morton, J Kirk, D Espinoza, A E Cust. Br J Dermatol 2017
13
18

A Pilot Randomized Controlled Trial of the Feasibility, Acceptability, and Impact of Giving Information on Personalized Genomic Risk of Melanoma to the Public.
Amelia K Smit, David Espinoza, Ainsley J Newson, Rachael L Morton, Georgina Fenton, Lucinda Freeman, Kate Dunlop, Phyllis N Butow, Matthew H Law, Michael G Kimlin,[...]. Cancer Epidemiol Biomarkers Prev 2017
29
18

Attitudes to incorporating genomic risk assessments into population screening programs: the importance of purpose, context and deliberation.
Stuart G Nicholls, Holly Etchegary, June C Carroll, David Castle, Louise Lemyre, Beth K Potter, Samantha Craigie, Brenda J Wilson. BMC Med Genomics 2016
10
20


Cancer genetics, precision prevention and a call to action.
Clare Turnbull, Amit Sud, Richard S Houlston. Nat Genet 2018
54
18

Distress, uncertainty, and positive experiences associated with receiving information on personal genomic risk of melanoma.
Amelia K Smit, Ainsley J Newson, Megan Best, Caro-Anne Badcock, Phyllis N Butow, Judy Kirk, Kate Dunlop, Georgina Fenton, Anne E Cust. Eur J Hum Genet 2018
14
18


Outcomes for implementation research: conceptual distinctions, measurement challenges, and research agenda.
Enola Proctor, Hiie Silmere, Ramesh Raghavan, Peter Hovmand, Greg Aarons, Alicia Bunger, Richard Griffey, Melissa Hensley. Adm Policy Ment Health 2011
18

Consumer and clinician perspectives on personalising breast cancer prevention information.
L A Keogh, E Steel, P Weideman, P Butow, I M Collins, J D Emery, G B Mann, A Bickerstaffe, A H Trainer, L J Hopper,[...]. Breast 2019
10
20

Genetic testing and personalized ovarian cancer screening: a survey of public attitudes.
Susanne F Meisel, Belinda Rahman, Lucy Side, Lindsay Fraser, Sue Gessler, Anne Lanceley, Jane Wardle. BMC Womens Health 2016
18
18

The melanoma genomics managing your risk study: A protocol for a randomized controlled trial evaluating the impact of personal genomic risk information on skin cancer prevention behaviors.
Amelia K Smit, Ainsley J Newson, Rachael L Morton, Michael Kimlin, Louise Keogh, Matthew H Law, Judy Kirk, Suzanne Dobbinson, Peter A Kanetsky, Georgina Fenton,[...]. Contemp Clin Trials 2018
10
20

Attitudes towards risk-stratified breast cancer screening among women in England: A cross-sectional survey.
Alex Ghanouni, Saskia C Sanderson, Nora Pashayan, Cristina Renzi, Christian von Wagner, Jo Waller. J Med Screen 2020
14
18


Population-Based Precision Cancer Screening: A Symposium on Evidence, Epidemiology, and Next Steps.
Pamela M Marcus, Nora Pashayan, Timothy R Church, V Paul Doria-Rose, Michael K Gould, Rebecca A Hubbard, Michael Marrone, Diana L Miglioretti, Paul D Pharoah, Paul F Pinsky,[...]. Cancer Epidemiol Biomarkers Prev 2016
35
18

Public interest in and acceptability of the prospect of risk-stratified screening for breast and prostate cancer.
Marie Koitsalu, Mirjam A G Sprangers, Martin Eklund, Kamila Czene, Per Hall, Henrik Grönberg, Yvonne Brandberg. Acta Oncol 2016
25
18

Stratified cancer screening: the practicalities of implementation.
T Dent, J Jbilou, I Rafi, N Segnan, S Törnberg, S Chowdhury, A Hall, G Lyratzopoulos, R Eeles, D Eccles,[...]. Public Health Genomics 2013
37
18

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
466
18

Adjusting the frequency of mammography screening on the basis of genetic risk: Attitudes among women in the UK.
Susanne F Meisel, Nora Pashayan, Belinda Rahman, Lucy Side, Lindsay Fraser, Sue Gessler, Anne Lanceley, Jane Wardle. Breast 2015
34
18

Medication Use to Reduce Risk of Breast 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
58
18

Why structure matters.
Nick Barton, Joachim Hermisson, Magnus Nordborg. Elife 2019
43
18

Breast cancer risk prediction in women aged 35-50 years: impact of including sex hormone concentrations in the Gail model.
Tess V Clendenen, Wenzhen Ge, Karen L Koenig, Yelena Afanasyeva, Claudia Agnoli, Louise A Brinton, Farbod Darvishian, Joanne F Dorgan, A Heather Eliassen, Roni T Falk,[...]. Breast Cancer Res 2019
11
18

What Are Polygenic Scores and Why Are They Important?
Leo P Sugrue, Rahul S Desikan. JAMA 2019
61
18

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
77
18

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
60
18

Incremental impact of breast cancer SNP panel on risk classification in a screening population of white and African American women.
Anne Marie McCarthy, Katrina Armstrong, Elizabeth Handorf, Leigh Boghossian, Marisa Jones, Jinbo Chen, Mirar Bristol Demeter, Erin McGuire, Emily F Conant, Susan M Domchek. Breast Cancer Res Treat 2013
8
25


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.