A citation-based method for searching scientific literature

Charmaine Pei Ling Lee, Hyungwon Choi, Khee Chee Soo, Min-Han Tan, Wen Yee Chay, Kee Seng Chia, Jenny Liu, Jingmei Li, Mikael Hartman. PLoS One 2015
Times Cited: 16







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



Times Cited
  Times     Co-cited
Similarity


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
339
37

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
37

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
25

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
112
25

Mammographic density phenotypes and risk of breast cancer: a meta-analysis.
Andreas Pettersson, Rebecca E Graff, Giske Ursin, Isabel Dos Santos Silva, Valerie McCormack, Laura Baglietto, Celine Vachon, Marije F Bakker, Graham G Giles, Kee Seng Chia,[...]. J Natl Cancer Inst 2014
177
25

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
309
25

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
240
25

Performance of common genetic variants in breast-cancer risk models.
Sholom Wacholder, Patricia Hartge, Ross Prentice, Montserrat Garcia-Closas, Heather Spencer Feigelson, W Ryan Diver, Michael J Thun, David G Cox, Susan E Hankinson, Peter Kraft,[...]. N Engl J Med 2010
320
25

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
67
18

Prediction of breast cancer risk by genetic risk factors, overall and by hormone receptor status.
Anika Hüsing, Federico Canzian, Lars Beckmann, Montserrat Garcia-Closas, W Ryan Diver, Michael J Thun, Christine D Berg, Robert N Hoover, Regina G Ziegler, Jonine D Figueroa,[...]. J Med Genet 2012
46
18

A breast cancer prediction model incorporating familial and personal risk factors.
Jonathan Tyrer, Stephen W Duffy, Jack Cuzick. Stat Med 2004
665
18


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
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
102
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
740
18

High-throughput mammographic-density measurement: a tool for risk prediction of breast cancer.
Jingmei Li, Laszlo Szekely, Louise Eriksson, Boel Heddson, Ann Sundbom, Kamila Czene, Per Hall, Keith Humphreys. Breast Cancer Res 2012
75
18


Assessment of clinical validity of a breast cancer risk model combining genetic and clinical information.
Matthew E Mealiffe, Renee P Stokowski, Brian K Rhees, Ross L Prentice, Mary Pettinger, David A Hinds. J Natl Cancer Inst 2010
117
18

Comparing Mammography Abnormality Features to Genetic Variants in the Prediction of Breast Cancer in Women Recommended for Breast Biopsy.
Elizabeth S Burnside, Jie Liu, Yirong Wu, Adedayo A Onitilo, Catherine A McCarty, C David Page, Peggy L Peissig, Amy Trentham-Dietz, Terrie Kitchner, Jun Fan,[...]. Acad Radiol 2016
7
42

Risk prediction models of breast cancer: a systematic review of model performances.
Thunyarat Anothaisintawee, Yot Teerawattananon, Chollathip Wiratkapun, Vijj Kasamesup, Ammarin Thakkinstian. Breast Cancer Res Treat 2012
70
18

SNPs and breast cancer risk prediction for African American and Hispanic women.
Richard Allman, Gillian S Dite, John L Hopper, Ora Gordon, Athena Starlard-Davenport, Rowan Chlebowski, Charles Kooperberg. Breast Cancer Res Treat 2015
29
18

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
18

Breast cancer risk prediction and individualised screening based on common genetic variation and breast density measurement.
Hatef Darabi, Kamila Czene, Wanting Zhao, Jianjun Liu, Per Hall, Keith Humphreys. Breast Cancer Res 2012
83
18

Using SNP genotypes to improve the discrimination of a simple breast cancer risk prediction model.
Gillian S Dite, Maryam Mahmoodi, Adrian Bickerstaffe, Fleur Hammet, Robert J Macinnis, Helen Tsimiklis, James G Dowty, Carmel Apicella, Kelly-Anne Phillips, Graham G Giles,[...]. Breast Cancer Res Treat 2013
26
18

Data quality at the Singapore Cancer Registry: An overview of comparability, completeness, validity and timeliness.
Janice Wing Mei Fung, Sandra Bee Lay Lim, Huili Zheng, William Ying Tat Ho, Bee Guat Lee, Khuan Yew Chow, Hin Peng Lee. Cancer Epidemiol 2016
12
25


Ethnic differences in mammographic densities.
G Maskarinec, L Meng, G Ursin. Int J Epidemiol 2001
92
12



Predictors of mammographic density: insights gained from a novel regression analysis of a twin study.
Gillian S Dite, Lyle C Gurrin, Graham B Byrnes, Jennifer Stone, Anoma Gunasekara, Margaret R E McCredie, Dallas R English, Graham G Giles, Jennifer Cawson, Robert A Hegele,[...]. Cancer Epidemiol Biomarkers Prev 2008
41
12


Mammographic breast density as an intermediate phenotype for breast cancer.
Norman F Boyd, Johanna M Rommens, Kelly Vogt, Vivian Lee, John L Hopper, Martin J Yaffe, Andrew D Paterson. Lancet Oncol 2005
388
12

Mammographic densities and breast cancer risk.
N F Boyd, G A Lockwood, L J Martin, J A Knight, J W Byng, M J Yaffe, D L Tritchler. Breast Dis 1998
94
12

Mammographic density and its interaction with other breast cancer risk factors in an Asian population.
C S Wong, G H Lim, F Gao, R W Jakes, J Offman, K S Chia, S W Duffy. Br J Cancer 2011
49
12

Serum sex steroids in premenopausal women and breast cancer risk within the European Prospective Investigation into Cancer and Nutrition (EPIC).
Rudolf Kaaks, Franco Berrino, Timothy Key, Sabina Rinaldi, Laure Dossus, Carine Biessy, Giorgio Secreto, Pilar Amiano, Sheila Bingham, Heiner Boeing,[...]. J Natl Cancer Inst 2005
314
12

Sex hormones and risk of breast cancer in premenopausal women: a collaborative reanalysis of individual participant data from seven prospective studies.
T J Key, P N Appleby, G K Reeves, R C Travis, A J Alberg, A Barricarte, F Berrino, V Krogh, S Sieri, L A Brinton,[...]. Lancet Oncol 2013
172
12

Reproducibility of plasma steroid hormones, prolactin, and insulin-like growth factor levels among premenopausal women over a 2- to 3-year period.
Stacey A Missmer, Donna Spiegelman, Elizabeth R Bertone-Johnson, Robert L Barbieri, Michael N Pollak, Susan E Hankinson. Cancer Epidemiol Biomarkers Prev 2006
111
12

Postmenopausal plasma sex hormone levels and breast cancer risk over 20 years of follow-up.
Xuehong Zhang, Shelley S Tworoger, A Heather Eliassen, Susan E Hankinson. Breast Cancer Res Treat 2013
102
12

Premenopausal serum sex hormone levels in relation to breast cancer risk, overall and by hormone receptor status - results from the EPIC cohort.
Rudolf Kaaks, Kaja Tikk, Disorn Sookthai, Helena Schock, Theron Johnson, Anne Tjønneland, Anja Olsen, Kim Overvad, Françoise Clavel-Chapelon, Laure Dossus,[...]. Int J Cancer 2014
50
12

Inclusion of endogenous hormone levels in risk prediction models of postmenopausal breast cancer.
Shelley S Tworoger, Xuehong Zhang, A Heather Eliassen, Jing Qian, Graham A Colditz, Walter C Willett, Bernard A Rosner, Peter Kraft, Susan E Hankinson. J Clin Oncol 2014
42
12

Postmenopausal serum androgens, oestrogens and breast cancer risk: the European prospective investigation into cancer and nutrition.
R Kaaks, S Rinaldi, T J Key, F Berrino, P H M Peeters, C Biessy, L Dossus, A Lukanova, S Bingham, K-T Khaw,[...]. Endocr Relat Cancer 2005
345
12

Risk prediction for breast, endometrial, and ovarian cancer in white women aged 50 y or older: derivation and validation from population-based cohort studies.
Ruth M Pfeiffer, Yikyung Park, Aimée R Kreimer, James V Lacey, David Pee, Robert T Greenlee, Saundra S Buys, Albert Hollenbeck, Bernard Rosner, Mitchell H Gail,[...]. PLoS Med 2013
93
12

Inter- and intraradiologist variability in the BI-RADS assessment and breast density categories for screening mammograms.
A Redondo, M Comas, F Macià, F Ferrer, C Murta-Nascimento, M T Maristany, E Molins, M Sala, X Castells. Br J Radiol 2012
85
12

Dual-energy contrast-enhanced digital mammography: initial clinical results.
Clarisse Dromain, Fabienne Thibault, Serge Muller, Françoise Rimareix, Suzette Delaloge, Anne Tardivon, Corinne Balleyguier. Eur Radiol 2011
117
12

Contrast-enhanced spectral mammography (CESM) and contrast enhanced MRI (CEMRI): Patient preferences and tolerance.
Max M Hobbs, Donna B Taylor, Sebastian Buzynski, Rachel E Peake. J Med Imaging Radiat Oncol 2015
61
12

Reasons women at elevated risk of breast cancer refuse breast MR imaging screening: ACRIN 6666.
Wendie A Berg, Jeffrey D Blume, Amanda M Adams, Roberta A Jong, Richard G Barr, Daniel E Lehrer, Etta D Pisano, W Phil Evans, Mary C Mahoney, Linda Hovanessian Larsen,[...]. Radiology 2010
93
12

Bilateral contrast-enhanced dual-energy digital mammography: feasibility and comparison with conventional digital mammography and MR imaging in women with known breast carcinoma.
Maxine S Jochelson, D David Dershaw, Janice S Sung, Alexandra S Heerdt, Cynthia Thornton, Chaya S Moskowitz, Jessica Ferrara, Elizabeth A Morris. Radiology 2013
168
12

Breast-tissue composition and other risk factors for breast cancer in young women: a cross-sectional study.
Norman Boyd, Lisa Martin, Sofia Chavez, Anoma Gunasekara, Ayesha Salleh, Olga Melnichouk, Martin Yaffe, Christine Friedenreich, Salomon Minkin, Michael Bronskill. Lancet Oncol 2009
124
12

Assessment of Interradiologist Agreement Regarding Mammographic Breast Density Classification Using the Fifth Edition of the BI-RADS Atlas.
Ernest U Ekpo, Ujong Peter Ujong, Claudia Mello-Thoms, Mark F McEntee. AJR Am J Roentgenol 2016
35
12

Agreement of mammographic measures of volumetric breast density to MRI.
Jeff Wang, Ania Azziz, Bo Fan, Serghei Malkov, Catherine Klifa, David Newitt, Silaja Yitta, Nola Hylton, Karla Kerlikowske, John A Shepherd. PLoS One 2013
87
12


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.