Megan E. Ramaker
Impact in
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- Genetics, Aging, and Longevity in Model Organisms
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- Diabetes Management and Research
Papers in
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- Diet and metabolism studies 4
- Adipose Tissue and Metabolism 2
- Genetics 4
- Genomics and Rare Diseases 2
- Diabetes and associated disorders 2
- Genetic Associations and Epidemiology 1
- Co-authors
- Michael Freemark (4 shared papers)Kim M. Huffman (2 shared papers)Olga Ilkayeva (3 shared papers)William E. Kraus (3 shared papers)Michael J. Muehlbauer (4 shared papers)Reem Waziry (1 shared paper)James R. Bain (2 shared papers)Daniel S. Hsia (2 shared papers)
- Journals
- The Journals of Gerontology Series A (1 paper)Circulation (1 paper)Frontiers in Cardiovascular Medicine (1 paper)The Journal of Clinical Endocrinology & Metabolism (1 paper)Circulation Genomic and Precision Medicine (1 paper)
- Partner nations
- United StatesNorwayCanada
In The Last Decade
Megan E. Ramaker
7 papers receiving 54 citations
Peers
Comparison fields: 5 of 37
- Aging 4
- Endocrinology, Diabetes and Metabolism 20
- Biological Psychiatry 3
- Physiology 23
- Neuropsychology and Physiological Psychology 1
Countries citing papers authored by Megan E. Ramaker
This map shows the geographic impact of Megan E. Ramaker'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 Megan E. Ramaker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Megan E. Ramaker more than expected).
Fields of papers citing papers by Megan E. Ramaker
This network shows the impact of papers produced by Megan E. Ramaker. 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 Megan E. Ramaker. The network helps show where Megan E. Ramaker may publish in the future.
Co-authors
The 25 scholars most cited alongside Megan E. Ramaker, 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 | 2022 | 21 | |
| 2 | 2022 | 13 | |
| 3 | 2021 | 9 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 4 | |
| 6 | 2022 | 3 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 0 |
About Megan E. Ramaker
Megan E. Ramaker is a scholar working on Physiology, Genetics, Molecular Biology, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 8 papers that have together received 55 indexed citations. Recurring topics across this work include Diet and metabolism studies (4 papers), Diabetes Management and Research (2 papers), Genomics and Rare Diseases (2 papers), Adipose Tissue and Metabolism (2 papers), Diabetes and associated disorders (2 papers), Genetic Associations and Epidemiology (1 paper), Health Systems, Economic Evaluations, Quality of Life (1 paper) and Sleep and related disorders (1 paper). The work is most often cited by research in Aging (4 citations), Endocrinology, Diabetes and Metabolism (20 citations), Biological Psychiatry (3 citations), Physiology (23 citations) and Neuropsychology and Physiological Psychology (1 citation). Megan E. Ramaker has collaborated with scholars based in United States, Norway and Canada. Frequent co-authors include Michael Freemark, Kim M. Huffman, Olga Ilkayeva, William E. Kraus, Michael J. Muehlbauer, Reem Waziry, James R. Bain, Daniel S. Hsia, Carl F. Pieper and Virginia B. Kraus. Their work appears in journals such as The Journals of Gerontology Series A, Circulation, Frontiers in Cardiovascular Medicine, The Journal of Clinical Endocrinology & Metabolism and Circulation Genomic and Precision Medicine.
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.