Misa Graff
Impact in
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- Genetic Associations and Epidemiology
- Genetic Mapping and Diversity in Plants and Animals
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- Nutritional Studies and Diet
- Obesity, Physical Activity, Diet
Papers in
- Genetics 9
- Genetic Associations and Epidemiology 7
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- Epigenetics and DNA Methylation 2
- Co-authors
- Kari E. North (13 shared papers)Priya Palta (2 shared papers)Katie A. Meyer (1 shared paper)Anna Kucharska‐Newton (1 shared paper)Natalia Petruski‐Ivleva (1 shared paper)David Couper (2 shared papers)Gerardo Heiss (1 shared paper)Bernhard Haring (1 shared paper)
- Journals
- The American Journal of Human Genetics (2 papers)BMJ Open (1 paper)Genetic Epidemiology (1 paper)Circulation (1 paper)Blood Cells Molecules and Diseases (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Misa Graff
14 papers receiving 130 citations
Peers
Comparison fields: 5 of 49
- Genetics 34
- Public Health, Environmental and Occupational Health 29
- Physiology 24
- Molecular Biology 30
- Cardiology and Cardiovascular Medicine 7
Countries citing papers authored by Misa Graff
This map shows the geographic impact of Misa Graff'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 Misa Graff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Misa Graff more than expected).
Fields of papers citing papers by Misa Graff
This network shows the impact of papers produced by Misa Graff. 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 Misa Graff. The network helps show where Misa Graff may publish in the future.
Co-authors
The 25 scholars most cited alongside Misa Graff, 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 | 2017 | 32 | |
| 2 | 2021 | 25 | |
| 3 | 2020 | 14 | |
| 4 | 2021 | 11 | |
| 5 | 2015 | 10 | |
| 6 | 2022 | 9 | |
| 7 | 2016 | 7 | |
| 8 | 2023 | 5 | |
| 9 | 2020 | 5 | |
| 10 | 2018 | 5 | |
| 11 | 2021 | 3 | |
| 12 | 2024 | 2 | |
| 13 | 2023 | 1 | |
| 14 | 2022 | 1 | |
| 15 | Identifying genetic associations with central adiposity in Hispanic subgroups: the HCHS/SOL Study | 2015 | 0 |
About Misa Graff
Misa Graff is a scholar working on Genetics, Molecular Biology, Cardiology and Cardiovascular Medicine, Epidemiology and Physiology, having authored 15 papers that have together received 130 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (7 papers), Epigenetics and DNA Methylation (2 papers), Cervical Cancer and HPV Research (2 papers), Nutritional Studies and Diet (2 papers), Cardiovascular Disease and Adiposity (2 papers), Lipid metabolism and disorders (2 papers), Diet and metabolism studies (2 papers) and Obesity, Physical Activity, Diet (1 paper). The work is most often cited by research in Genetics (34 citations), Public Health, Environmental and Occupational Health (29 citations), Physiology (24 citations), Molecular Biology (30 citations) and Cardiology and Cardiovascular Medicine (7 citations). Misa Graff has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Kari E. North, Priya Palta, Katie A. Meyer, Anna Kucharska‐Newton, Natalia Petruski‐Ivleva, David Couper, Gerardo Heiss, Bernhard Haring, Annie Green Howard and Christy L. Avery. Their work appears in journals such as The American Journal of Human Genetics, BMJ Open, Genetic Epidemiology, Circulation and Blood Cells Molecules and Diseases.
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.