A citation-based method for searching scientific literature

Laureen Dartois, Émilien Gauthier, Julia Heitzmann, Laura Baglietto, Stefan Michiels, Sylvie Mesrine, Marie-Christine Boutron-Ruault, Suzette Delaloge, Stéphane Ragusa, Françoise Clavel-Chapelon, Guy Fagherazzi. Breast Cancer Res Treat 2015
Times Cited: 6







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



Times Cited
  Times     Co-cited
Similarity


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
493
66

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
50

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
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
102
50

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
50

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
93
50

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
190
50

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
50

A breast cancer prediction model incorporating familial and personal risk factors.
Jonathan Tyrer, Stephen W Duffy, Jack Cuzick. Stat Med 2004
665
33

Benefits and Harms of Breast Cancer Screening: A Systematic Review.
Evan R Myers, Patricia Moorman, Jennifer M Gierisch, Laura J Havrilesky, Lars J Grimm, Sujata Ghate, Brittany Davidson, Ranee Chatterjee Mongtomery, Matthew J Crowley, Douglas C McCrory,[...]. JAMA 2015
255
33

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
33

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
33

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
33


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
33

Gail model for prediction of absolute risk of invasive breast cancer: independent evaluation in the Florence-European Prospective Investigation Into Cancer and Nutrition cohort.
Adriano Decarli, Stefano Calza, Giovanna Masala, Claudia Specchia, Domenico Palli, Mitchell H Gail. J Natl Cancer Inst 2006
70
33

Predicting risk of breast cancer in postmenopausal women by hormone receptor status.
Rowan T Chlebowski, Garnet L Anderson, Dorothy S Lane, Aaron K Aragaki, Thomas Rohan, Shagufta Yasmeen, Gloria Sarto, Carol A Rosenberg, F Allan Hubbell. J Natl Cancer Inst 2007
94
33

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
70
33

Effect of changing breast cancer incidence rates on the calibration of the Gail model.
Sara J Schonfeld, David Pee, Robert T Greenlee, Patricia Hartge, James V Lacey, Yikyung Park, Arthur Schatzkin, Kala Visvanathan, Ruth M Pfeiffer. J Clin Oncol 2010
29
33

Assessing breast cancer risk models in Marin County, a population with high rates of delayed childbirth.
Mark Powell, Farid Jamshidian, Kate Cheyne, Joanne Nititham, Lee Ann Prebil, Rochelle Ereman. Clin Breast Cancer 2014
12
33

Hormonal exposures and breast cancer in a sample of women with systemic lupus erythematosus.
S Bernatsky, A Clarke, R Ramsey-Goldman, L Joseph, J-F Boivin, R Rajan, A D Moore, M-H Leung, A Allen, C Gordon. Rheumatology (Oxford) 2004
18
33

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
161
33

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
33

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
33

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
31
33

The use of the Gail model, body mass index and SNPs to predict breast cancer among women with abnormal (BI-RADS 4) mammograms.
Anne Marie McCarthy, Brad Keller, Despina Kontos, Leigh Boghossian, Erin McGuire, Mirar Bristol, Jinbo Chen, Susan Domchek, Katrina Armstrong. Breast Cancer Res 2015
59
33

Validation of risk assessment models for predicting the incidence of breast cancer in korean women.
Jun Won Min, Myung-Chul Chang, Hae Kyung Lee, Min Hee Hur, Dong-Young Noh, Jung Han Yoon, Yongsik Jung, Jung-Hyun Yang. J Breast Cancer 2014
12
33

Breast cancer risk assessment in indigent women at a public hospital.
N R Abu-Rustum, H Herbolsheimer. Gynecol Oncol 2001
24
33

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
33

Validation of the Gail model for predicting individual breast cancer risk in a prospective nationwide study of 28,104 Singapore women.
Wen Yee Chay, Whee Sze Ong, Puay Hoon Tan, Nicholas Qi Jie Leo, Gay Hui Ho, Chia Siong Wong, Kee Seng Chia, Khuan Yew Chow, Minhan Tan, Peter Ang. Breast Cancer Res 2012
27
33

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
33

Applicability of the Gail model for breast cancer risk assessment in Turkish female population and evaluation of breastfeeding as a risk factor.
Cemal Ulusoy, Ilknur Kepenekci, Kenan Kose, Semih Aydintug, Ragip Cam. Breast Cancer Res Treat 2010
20
33

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
33

Recalibration of the Gail model for predicting invasive breast cancer risk in Spanish women: a population-based cohort study.
Roberto Pastor-Barriuso, Nieves Ascunce, María Ederra, Nieves Erdozáin, Alberto Murillo, José E Alés-Martínez, Marina Pollán. Breast Cancer Res Treat 2013
13
33

Gail model risk factors: impact of adding an extended family history for breast cancer.
Anna Crispo, Giuseppe D'Aiuto, MariaRosaria De Marco, Massimo Rinaldo, Maria Grimaldi, Immacolata Capasso, Alfonso Amore, Cristina Bosetti, Carlo La Vecchia, Maurizio Montella. Breast J 2008
6
33

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
33

Can the Gail model increase the predictive value of a positive mammogram in a European population screening setting? Results from a Spanish cohort.
A Buron, M Vernet, M Roman, M A Checa, J M Pérez, M Sala, M Comas, C Murta-Nascimiento, X Castells, F Macià. Breast 2013
4
50

Assessment of the accuracy of the Gail model in women with atypical hyperplasia.
V Shane Pankratz, Lynn C Hartmann, Amy C Degnim, Robert A Vierkant, Karthik Ghosh, Celine M Vachon, Marlene H Frost, Shaun D Maloney, Carol Reynolds, Judy C Boughey. J Clin Oncol 2008
65
33


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
33

Combined associations of genetic and environmental risk factors: implications for prevention of breast cancer.
Montserrat Garcia-Closas, Necdet Burak Gunsoy, Nilanjan Chatterjee. J Natl Cancer Inst 2014
74
33

Improving the Mann-Whitney statistical test for feature selection: an approach in breast cancer diagnosis on mammography.
Noel Pérez Pérez, Miguel A Guevara López, Augusto Silva, Isabel Ramos. Artif Intell Med 2015
17
16


Reducing the dimensionality of data with neural networks.
G E Hinton, R R Salakhutdinov. Science 2006
16

Maximum-likelihood transmission image reconstruction for overlapping transmission beams.
D F Yu, J A Fessler, E P Ficaro. IEEE Trans Med Imaging 2000
27
16

Breast calcifications: which are malignant?
M Muttarak, P Kongmebhol, N Sukhamwang. Singapore Med J 2009
12
16



Mammographic screening: no longer controversial.
Blake Cady, Maureen Chung. Am J Clin Oncol 2005
10
16

The diagnosis and management of ductal carcinoma in-situ of the breast.
D P Winchester, J M Jeske, R A Goldschmidt. CA Cancer J Clin 2000
30
16


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.