Peter Kraft

109.9k total citations · 2 hit papers
351 papers, 16.5k citations indexed

About

Peter Kraft is a scholar working on Genetics, Molecular Biology and Oncology. According to data from OpenAlex, Peter Kraft has authored 351 papers receiving a total of 16.5k indexed citations (citations by other indexed papers that have themselves been cited), including 171 papers in Genetics, 93 papers in Molecular Biology and 52 papers in Oncology. Recurrent topics in Peter Kraft's work include Genetic Associations and Epidemiology (121 papers), BRCA gene mutations in cancer (49 papers) and Genetic Mapping and Diversity in Plants and Animals (39 papers). Peter Kraft is often cited by papers focused on Genetic Associations and Epidemiology (121 papers), BRCA gene mutations in cancer (49 papers) and Genetic Mapping and Diversity in Plants and Animals (39 papers). Peter Kraft collaborates with scholars based in United States, United Kingdom and Sweden. Peter Kraft's co-authors include David J. Hunter, Stephen J. Chanock, Edward L. Giovannucci, Charles S. Fuchs, Susan E. Hankinson, Marilyn C. Cornelis, Brian M. Wolpin, Immaculata De Vivo, Constance Chen and Sara Lindström and has published in prestigious journals such as Science, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

Peter Kraft

345 papers receiving 16.2k citations

Hit Papers

Methodological Challenges in Mendelian Randomization 2014 2026 2018 2022 2014 2022 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peter Kraft United States 72 6.0k 5.4k 2.4k 1.8k 1.7k 351 16.5k
Nilanjan Chatterjee United States 65 4.9k 0.8× 4.0k 0.7× 2.1k 0.9× 1.7k 1.0× 1.1k 0.6× 254 12.9k
Julian Little Canada 61 5.2k 0.9× 3.7k 0.7× 3.0k 1.2× 1.1k 0.6× 1.0k 0.6× 365 16.2k
Michael E. Weinblatt United States 82 5.1k 0.8× 4.9k 0.9× 3.0k 1.2× 852 0.5× 1.6k 0.9× 381 33.9k
Michiaki Kubo Japan 77 4.3k 0.7× 5.1k 0.9× 2.0k 0.8× 2.0k 1.1× 1.3k 0.7× 385 18.3k
Jane Green United Kingdom 46 2.9k 0.5× 2.2k 0.4× 2.5k 1.1× 1.2k 0.7× 2.1k 1.2× 125 14.1k
Soma Das United States 47 10.5k 1.7× 12.7k 2.4× 3.1k 1.3× 2.3k 1.3× 1.2k 0.7× 158 26.5k
David M. Evans United Kingdom 57 6.2k 1.0× 4.3k 0.8× 876 0.4× 783 0.4× 1.6k 0.9× 277 15.4k
Mariza de Andrade United States 60 2.9k 0.5× 4.0k 0.7× 2.1k 0.9× 1.4k 0.8× 885 0.5× 248 12.0k
Christopher I. Amos United States 67 5.3k 0.9× 7.6k 1.4× 4.5k 1.9× 3.2k 1.8× 1.3k 0.7× 544 18.6k
Thomas J. Hudson Canada 70 5.8k 1.0× 10.0k 1.9× 1.6k 0.6× 1.7k 1.0× 2.4k 1.4× 227 20.1k

Countries citing papers authored by Peter Kraft

Since Specialization
Citations

This map shows the geographic impact of Peter Kraft's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Peter Kraft with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Kraft more than expected).

Fields of papers citing papers by Peter Kraft

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Kraft. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Peter Kraft. The network helps show where Peter Kraft may publish in the future.

Co-authorship network of co-authors of Peter Kraft

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Kraft. A scholar is included among the top collaborators of Peter Kraft based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter Kraft. Peter Kraft is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hanyuda, Akiko, Ron Do, Peter Kraft, et al.. (2024). The Clinical Usefulness of a Glaucoma Polygenic Risk Score in 4 Population-Based European Ancestry Cohorts. Ophthalmology. 132(2). 228–237. 5 indexed citations
2.
Liu, Yuxi, Alexander Gusev, & Peter Kraft. (2023). Germline Cancer Gene Expression Quantitative Trait Loci Are Associated with Local and Global Tumor Mutations. Cancer Research. 83(8). 1191–1202. 6 indexed citations
3.
Hao, Limin, Peter Kraft, Gabriel F. Berriz, et al.. (2022). Development of a clinical polygenic risk score assay and reporting workflow. Nature Medicine. 28(5). 1006–1013. 87 indexed citations
4.
Jee, Yon Ho, Weang-Kee Ho, Sohee Park, et al.. (2022). Polygenic risk scores for prediction of breast cancer in Korean women. International Journal of Epidemiology. 52(3). 796–805. 1 indexed citations
5.
Plym, Anna, Yiwen Zhang, Konrad H. Stopsack, et al.. (2022). Family History of Prostate and Breast Cancer Integrated with a Polygenic Risk Score Identifies Men at Highest Risk of Dying from Prostate Cancer before Age 75 Years. Clinical Cancer Research. 28(22). 4926–4933. 13 indexed citations
6.
Ziyatdinov, Andrey, Jihye Kim, Dmitry Prokopenko, et al.. (2021). Estimating the effective sample size in association studies of quantitative traits. G3 Genes Genomes Genetics. 11(6). 13 indexed citations
7.
Hurson, Amber N., Parichoy Pal Choudhury, Chi Gao, et al.. (2021). Prospective evaluation of a breast-cancer risk model integrating classical risk factors and polygenic risk in 15 cohorts from six countries. International Journal of Epidemiology. 50(6). 1897–1911. 43 indexed citations
8.
Jee, Yon Ho, Chi Gao, Jihye Kim, et al.. (2020). Validating Breast Cancer Risk Prediction Models in the Korean Cancer Prevention Study-II Biobank. Cancer Epidemiology Biomarkers & Prevention. 29(6). 1271–1277. 6 indexed citations
9.
Zeleznik, Oana A., A. Heather Eliassen, Peter Kraft, et al.. (2020). A Prospective Analysis of Circulating Plasma Metabolites Associated with Ovarian Cancer Risk. Cancer Research. 80(6). 1357–1367. 63 indexed citations
10.
Zeleznik, Oana A., Clary B. Clish, Peter Kraft, et al.. (2019). Circulating Lysophosphatidylcholines, Phosphatidylcholines, Ceramides, and Sphingomyelins and Ovarian Cancer Risk: A 23-Year Prospective Study. JNCI Journal of the National Cancer Institute. 112(6). 628–636. 39 indexed citations
11.
Ruth, Katherine S., Ana Gonçalves Soares, Maria Carolina Borges, et al.. (2019). Genome-wide association study of anti-Müllerian hormone levels in pre-menopausal women of late reproductive age and relationship with genetic determinants of reproductive lifespan. Human Molecular Genetics. 28(8). 1392–1401. 25 indexed citations
12.
Townsend, Mary K., Ying Bao, Elizabeth M. Poole, et al.. (2016). Impact of Pre-analytic Blood Sample Collection Factors on Metabolomics. Cancer Epidemiology Biomarkers & Prevention. 25(5). 823–829. 41 indexed citations
13.
Penney, Kathryn L., Andreas Pettersson, Irene M. Shui, et al.. (2016). Association of Prostate Cancer Risk Variants with TMPRSS2:ERG Status: Evidence for Distinct Molecular Subtypes. Cancer Epidemiology Biomarkers & Prevention. 25(5). 745–749. 18 indexed citations
14.
Siiskonen, Satu J., Mingfeng Zhang, Wenqing Li, et al.. (2016). A Genome-Wide Association Study of Cutaneous Squamous Cell Carcinoma among European Descendants. Cancer Epidemiology Biomarkers & Prevention. 25(4). 714–720. 26 indexed citations
15.
Kichaev, Gleb, Ruth Johnson, Eleazar Eskin, et al.. (2016). Improved methods for multi-trait fine mapping of pleiotropic risk loci. Bioinformatics. 33(2). 248–255. 76 indexed citations
16.
Penney, Kathryn L., Jennifer A. Sinnott, Svitlana Tyekucheva, et al.. (2014). Association of Prostate Cancer Risk Variants with Gene Expression in Normal and Tumor Tissue. Cancer Epidemiology Biomarkers & Prevention. 24(1). 255–260. 85 indexed citations
17.
Shu, Xiao Ou, Jirong Long, Wei Lu, et al.. (2012). Novel Genetic Markers of Breast Cancer Survival Identified by a Genome-Wide Association Study. Cancer Research. 72(5). 1182–1189. 45 indexed citations
18.
Menashe, Idan, Dennis Maeder, Montserrat García‐Closas, et al.. (2010). Pathway Analysis of Breast Cancer Genome-Wide Association Study Highlights Three Pathways and One Canonical Signaling Cascade. Cancer Research. 70(11). 4453–4459. 107 indexed citations
19.
Penney, Kathryn L., Fredrick R. Schumacher, Haojie Li, et al.. (2010). A Large Prospective Study of SEP15 Genetic Variation, Interaction with Plasma Selenium Levels, and Prostate Cancer Risk and Survival. Cancer Prevention Research. 3(5). 604–610. 58 indexed citations
20.
Nan, Hongmei, Peter Kraft, David J. Hunter, & Jiali Han. (2009). Genetic variants in pigmentation genes, pigmentary phenotypes, and risk of skin cancer in Caucasians. International Journal of Cancer. 125(4). 909–917. 140 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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