Charles Kooperberg
Impact in
- Statistics and Probability top 0.2%
- Statistical Methods and Inference
- Genetics top 0.5%
- Genetic Associations and Epidemiology
- Estrogen and related hormone effects
Papers in
-
- Statistical Methods and Inference 18
- Genetics 73
- Genetic Associations and Epidemiology 49
- Genetic and phenotypic traits in livestock 17
- Co-authors
- Charles J. StoneDavid BakerKim T. SimonsIngo RuczinskiJulian BesagEnoch S. HuangMichael LeBlancAaron K. Aragaki
- Journals
- Genetic Epidemiology (13 papers)Journal of Computational and Graphical Statistics (8 papers)American Journal of Epidemiology (8 papers)Journal of the American Statistical Association (7 papers)Circulation (6 papers)
- Partner nations
- United StatesSouth AfricaUnited Kingdom
In The Last Decade
Charles Kooperberg
193 papers receiving 12.4k citations
Hit Papers
Peers
Comparison fields: 5 of 207
- Statistics and Probability 1.1k
- Genetics 2.8k
- Orthopedics and Sports Medicine 719
- Endocrinology, Diabetes and Metabolism 1.3k
- Aging 127
Countries citing papers authored by Charles Kooperberg
This map shows the geographic impact of Charles Kooperberg'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 Charles Kooperberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles Kooperberg more than expected).
Fields of papers citing papers by Charles Kooperberg
This network shows the impact of papers produced by Charles Kooperberg. 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 Charles Kooperberg. The network helps show where Charles Kooperberg may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Charles Kooperberg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 17 | |
| 3 | 2023 | 17 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 2 | |
| 6 | 2021 | 60 | |
| 7 | 2021 | 21 | |
| 8 | 2020 | 96 | |
| 9 | 2020 | 10 | |
| 10 | 2015 | 18 | |
| 11 | 2011 | 48 | |
| 12 | 2011 | 77 | |
| 13 | 2010 | 41 | |
| 14 | 2008 | 69 | |
| 15 | 2008 | 13 | |
| 16 | 2007 | 174 | |
| 17 | 2004 | 226 | |
| 18 | 2002 | 22 | |
| 19 | 1998 | 16 | |
| 20 | 1995 | 135 |
About Charles Kooperberg
Charles Kooperberg is a scholar working on Statistics and Probability, Genetics, Aging, Computational Mathematics and Orthopedics and Sports Medicine, having authored 197 papers that have together received 12.9k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (49 papers), Gene expression and cancer classification (20 papers), Statistical Methods and Inference (18 papers), Genetic and phenotypic traits in livestock (17 papers), Bone health and osteoporosis research (13 papers), Bioinformatics and Genomic Networks (13 papers), Genomics and Chromatin Dynamics (11 papers) and Menopause: Health Impacts and Treatments (11 papers). The work is most often cited by research in Statistics and Probability (1.1k citations), Genetics (2.8k citations), Orthopedics and Sports Medicine (719 citations), Endocrinology, Diabetes and Metabolism (1.3k citations) and Aging (127 citations). Charles Kooperberg has collaborated with scholars based in United States, South Africa and United Kingdom. Frequent co-authors include Charles J. Stone, David Baker, Kim T. Simons, Ingo Ruczinski, Julian Besag, Enoch S. Huang, Michael LeBlanc, Aaron K. Aragaki, Andrea Z. LaCroix and Young K. Truong. Their work appears in journals such as Genetic Epidemiology, Journal of Computational and Graphical Statistics, American Journal of Epidemiology, Journal of the American Statistical Association and Circulation.
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.