Daniel I. Chasman
Impact in
- Genetics top 0.2%
- Genetic Associations and Epidemiology
- Genetic Mapping and Diversity in Plants and Animals
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- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
- Genetics 76
- Genetic Associations and Epidemiology 57
- Nutrition, Genetics, and Disease 17
-
- Diabetes, Cardiovascular Risks, and Lipoproteins 18
- Co-authors
- Paul M. RidkerGuillaume ParéRobert Y.L. ZeeNancy R. CookJulie E. BuringRoger D. KornbergRachel M. AdamsSamia Mora
- Journals
- Circulation Cardiovascular Genetics (12 papers)PLoS ONE (8 papers)Clinical Chemistry (7 papers)PLoS Genetics (7 papers)The American Journal of Human Genetics (5 papers)
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Daniel I. Chasman
182 papers receiving 12.2k citations
Hit Papers
Peers
Comparison fields: 5 of 181
- Genetics 4.3k
- Endocrinology, Diabetes and Metabolism 1.6k
- Cardiology and Cardiovascular Medicine 1.7k
- Cancer Research 919
- Molecular Biology 4.1k
Countries citing papers authored by Daniel I. Chasman
This map shows the geographic impact of Daniel I. Chasman'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 Daniel I. Chasman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel I. Chasman more than expected).
Fields of papers citing papers by Daniel I. Chasman
This network shows the impact of papers produced by Daniel I. Chasman. 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 Daniel I. Chasman. The network helps show where Daniel I. Chasman may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel I. Chasman, 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 | 2023 | 2 | |
| 2 | 2023 | 1 | |
| 3 | 2022 | 15 | |
| 4 | 2022 | 95 | |
| 5 | 2022 | 12 | |
| 6 | 2021 | 10 | |
| 7 | 2021 | 43 | |
| 8 | 2021 | 11 | |
| 9 | 2021 | 27 | |
| 10 | 2021 | 18 | |
| 11 | 2021 | 13 | |
| 12 | 2020 | 34 | |
| 13 | 2020 | 5 | |
| 14 | 2020 | 22 | |
| 15 | 2019 | 17 | |
| 16 | 2018 | 14 | |
| 17 | 2017 | 29 | |
| 18 | 2014 | 1 | |
| 19 | 2013 | 24 | |
| 20 | Novel Associations of SNPs on Chromosomes 2 and 16 and Risk of Incident Neovascular Age-Related Macular Degeneration in the Women’s Genome Health Study | 2010 | 1 |
About Daniel I. Chasman
Daniel I. Chasman is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems, Aging and Cardiology and Cardiovascular Medicine, having authored 185 papers that have together received 12.5k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (57 papers), Lipoproteins and Cardiovascular Health (30 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (18 papers), Nutrition, Genetics, and Disease (17 papers), Migraine and Headache Studies (16 papers), Adipokines, Inflammation, and Metabolic Diseases (11 papers), Cancer, Lipids, and Metabolism (11 papers) and Neuroscience of respiration and sleep (11 papers). The work is most often cited by research in Genetics (4.3k citations), Endocrinology, Diabetes and Metabolism (1.6k citations), Cardiology and Cardiovascular Medicine (1.7k citations), Cancer Research (919 citations) and Molecular Biology (4.1k citations). Daniel I. Chasman has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Paul M. Ridker, Guillaume Paré, Robert Y.L. Zee, Nancy R. Cook, Julie E. Buring, Roger D. Kornberg, Rachel M. Adams, Samia Mora, Joseph P. Miletich and Ronald M. Krauss. Their work appears in journals such as Circulation Cardiovascular Genetics, PLoS ONE, Clinical Chemistry, PLoS Genetics and The American Journal of Human Genetics.
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.