A citation-based method for searching scientific literature

Xin Wang, Yubei Huang, Lian Li, Hongji Dai, Fengju Song, Kexin Chen. Breast Cancer Res 2018
Times Cited: 35







List of co-cited articles
183 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
42

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
31

A breast cancer prediction model incorporating familial and personal risk factors.
Jonathan Tyrer, Stephen W Duffy, Jack Cuzick. Stat Med 2004
665
25

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
22

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
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
493
17

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
41

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
14

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
14

BRCAPRO validation, sensitivity of genetic testing of BRCA1/BRCA2, and prevalence of other breast cancer susceptibility genes.
Donald A Berry, Edwin S Iversen, Daniel F Gudbjartsson, Elaine H Hiller, Judy E Garber, Beth N Peshkin, Caryn Lerman, Patrice Watson, Henry T Lynch, Susan G Hilsenbeck,[...]. J Clin Oncol 2002
330
14

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
266
14


Breast Cancer Screening in Women at Higher-Than-Average Risk: Recommendations From the ACR.
Debra L Monticciolo, Mary S Newell, Linda Moy, Bethany Niell, Barbara Monsees, Edward A Sickles. J Am Coll Radiol 2018
207
14

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
11

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
11

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
289
11

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
11

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
154
11

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
11

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
78
11

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
60
11

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
11

Validation of the breast cancer surveillance consortium model of breast cancer risk.
Jeffrey A Tice, Michael C S Bissell, Diana L Miglioretti, Charlotte C Gard, Garth H Rauscher, Firas M Dabbous, Karla Kerlikowske. Breast Cancer Res Treat 2019
22
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
11

Detection of breast cancer with addition of annual screening ultrasound or a single screening MRI to mammography in women with elevated breast cancer risk.
Wendie A Berg, Zheng Zhang, Daniel Lehrer, Roberta A Jong, Etta D Pisano, Richard G Barr, Marcela Böhm-Vélez, Mary C Mahoney, W Phil Evans, Linda H Larsen,[...]. JAMA 2012
563
11

Breast cancer risk assessment in the Czech female population--an adjustment of the original Gail model.
Jan Novotny, Ladislav Pecen, Lubos Petruzelka, Adam Svobodnik, Ladislav Dusek, Jan Danes, Miloslava Skovajsova. Breast Cancer Res Treat 2006
27
11

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
23
13


Risk factors for breast cancer according to estrogen and progesterone receptor status.
Graham A Colditz, Bernard A Rosner, Wendy Y Chen, Michelle D Holmes, Susan E Hankinson. J Natl Cancer Inst 2004
366
8


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
8

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
9

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
8

Development of a risk assessment tool for projecting individualized probabilities of developing breast cancer for Chinese women.
Yuan Wang, Ying Gao, Munkhzul Battsend, Kexin Chen, Wenli Lu, Yaogang Wang. Tumour Biol 2014
7
42

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
8

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
8

Mammography screening: A major issue in medicine.
Philippe Autier, Mathieu Boniol. Eur J Cancer 2018
45
8

Use of pharmacologic interventions for breast cancer risk reduction: American Society of Clinical Oncology clinical practice guideline.
Kala Visvanathan, Patricia Hurley, Elissa Bantug, Powel Brown, Nananda F Col, Jack Cuzick, Nancy E Davidson, Andrea Decensi, Carol Fabian, Leslie Ford,[...]. J Clin Oncol 2013
201
8

ACR Appropriateness Criteria® Breast Cancer Screening.
Martha B Mainiero, Linda Moy, Paul Baron, Aarati D Didwania, Roberta M diFlorio, Edward D Green, Samantha L Heller, Anna I Holbrook, Su-Ju Lee, Alana A Lewin,[...]. J Am Coll Radiol 2017
76
8

Assessing Breast Cancer Risk Estimates Based on the Gail Model and Its Predictors in Qatari Women.
Abdulbari Bener, Funda Çatan, Hanadi R El Ayoubi, Ahmet Acar, Wanis H Ibrahim. J Prim Care Community Health 2017
13
23

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
8

Exemestane for breast-cancer prevention in postmenopausal women.
Paul E Goss, James N Ingle, José E Alés-Martínez, Angela M Cheung, Rowan T Chlebowski, Jean Wactawski-Wende, Anne McTiernan, John Robbins, Karen C Johnson, Lisa W Martin,[...]. N Engl J Med 2011
557
8

Development of a Breast Cancer Risk Prediction Model for Women in Nigeria.
Shengfeng Wang, Temidayo Ogundiran, Adeyinka Ademola, Oluwasola A Olayiwola, Adewunmi Adeoye, Adenike Sofoluwe, Imran Morhason-Bello, Stella Odedina, Imaria Agwai, Clement Adebamowo,[...]. Cancer Epidemiol Biomarkers Prev 2018
11
27

Machine learning techniques for personalized breast cancer risk prediction: comparison with the BCRAT and BOADICEA models.
Chang Ming, Valeria Viassolo, Nicole Probst-Hensch, Pierre O Chappuis, Ivo D Dinov, Maria C Katapodi. Breast Cancer Res 2019
16
18

Which risk model to use? Clinical implications of the ACS MRI screening guidelines.
Elissa M Ozanne, Brian Drohan, Phil Bosinoff, Alan Semine, Michael Jellinek, Claire Cronin, Frederick Millham, Dana Dowd, Taryn Rourke, Caroline Block,[...]. Cancer Epidemiol Biomarkers Prev 2013
40
8

Genetic and clinical predictors for breast cancer risk assessment and stratification among Chinese women.
Wei Zheng, Wanqing Wen, Yu-Tang Gao, Yu Shyr, Ying Zheng, Jirong Long, Guoliang Li, Chun Li, Kai Gu, Qiuyin Cai,[...]. J Natl Cancer Inst 2010
67
8

Risk prediction for breast Cancer in Han Chinese women based on a cause-specific Hazard model.
Lu Wang, Liyuan Liu, Zhen Lou, Lijie Ding, Hui Guan, Fei Wang, Lixiang Yu, Yujuan Xiang, Fei Zhou, Fuzhong Xue,[...]. BMC Cancer 2019
6
50

Combined screening with ultrasound and mammography vs mammography alone in women at elevated risk of breast cancer.
Wendie A Berg, Jeffrey D Blume, Jean B Cormack, Ellen B Mendelson, Daniel Lehrer, Marcela Böhm-Vélez, Etta D Pisano, Roberta A Jong, W Phil Evans, Marilyn J Morton,[...]. JAMA 2008
811
8

Screening US in patients with mammographically dense breasts: initial experience with Connecticut Public Act 09-41.
Regina J Hooley, Kathryn L Greenberg, Rebecca M Stackhouse, Jaime L Geisel, Reni S Butler, Liane E Philpotts. Radiology 2012
251
8


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.