Michael D. Schaid
Impact in
- Aging top 10%
- Physiology top 10%
- Adipose Tissue and Metabolism
- Diet and metabolism studies
Papers in
- Surgery 12
- Pancreatic function and diabetes 11
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- Receptor Mechanisms and Signaling 5
- Co-authors
- Michelle E. Kimple (15 shared papers)Talia N. Lerner (4 shared papers)Rachel J. Fenske (7 shared papers)Jaclyn A. Wisinski (6 shared papers)Jillian L. Seiler (2 shared papers)Matthew J. Merrins (3 shared papers)Dudley W. Lamming (3 shared papers)Caroline M. Alexander (1 shared paper)
- Journals
- Scientific Reports (3 papers)Current Biology (2 papers)American Journal of Physiology-Endocrinology and Metabolism (2 papers)Journal of Biological Chemistry (2 papers)Endocrinology (1 paper)
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Michael D. Schaid
19 papers receiving 615 citations
Peers
Comparison fields: 5 of 81
- Aging 28
- Physiology 180
- Endocrinology, Diabetes and Metabolism 110
- Biological Psychiatry 15
- Endocrine and Autonomic Systems 37
Countries citing papers authored by Michael D. Schaid
This map shows the geographic impact of Michael D. Schaid'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 Michael D. Schaid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael D. Schaid more than expected).
Fields of papers citing papers by Michael D. Schaid
This network shows the impact of papers produced by Michael D. Schaid. 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 Michael D. Schaid. The network helps show where Michael D. Schaid may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael D. Schaid, 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 | 257 | |
| 2 | 2021 | 68 | |
| 3 | 2022 | 42 | |
| 4 | 2017 | 38 | |
| 5 | 2022 | 33 | |
| 6 | 2018 | 32 | |
| 7 | 2016 | 21 | |
| 8 | 2021 | 18 | |
| 9 | 2017 | 18 | |
| 10 | 2020 | 17 | |
| 11 | 2023 | 13 | |
| 12 | 2020 | 13 | |
| 13 | 2017 | 13 | |
| 14 | 2021 | 12 | |
| 15 | 2019 | 9 | |
| 16 | 2021 | 7 | |
| 17 | 2023 | 4 | |
| 18 | 2025 | 3 | |
| 19 | 2024 | 1 |
About Michael D. Schaid
Michael D. Schaid is a scholar working on Surgery, Molecular Biology, Endocrinology, Diabetes and Metabolism, Genetics and Cellular and Molecular Neuroscience, having authored 19 papers that have together received 619 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (11 papers), Diabetes Treatment and Management (6 papers), Diabetes and associated disorders (5 papers), Receptor Mechanisms and Signaling (5 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Diet, Metabolism, and Disease (2 papers), Adipose Tissue and Metabolism (2 papers) and Diabetes Management and Research (1 paper). The work is most often cited by research in Aging (28 citations), Physiology (180 citations), Endocrinology, Diabetes and Metabolism (110 citations), Biological Psychiatry (15 citations) and Endocrine and Autonomic Systems (37 citations). Michael D. Schaid has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Michelle E. Kimple, Talia N. Lerner, Rachel J. Fenske, Jaclyn A. Wisinski, Jillian L. Seiler, Matthew J. Merrins, Dudley W. Lamming, Caroline M. Alexander, Sebastian I. Arriola Apelo and Brian Schmidt. Their work appears in journals such as Scientific Reports, Current Biology, American Journal of Physiology-Endocrinology and Metabolism, Journal of Biological Chemistry and Endocrinology.
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.