Matthew P. Gillum
- Geriatrics and Gerontology top 1%
- Sirtuins and Resveratrol in Medicine 6
- Physiology top 2%
- Adipose Tissue and Metabolism 14
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- Diet, Metabolism, and Disease 11
- Epidemiology top 5%
- Liver Disease Diagnosis and Treatment 11
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- Fibroblast Growth Factor Research 19
- Kruppel-like factors research 12
- Epigenetics and DNA Methylation 10
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- Pancreatic function and diabetes 6
- Co-authors
- Gerald I. ShulmanDerek M. ErionMaya E. KotasGary W. ClineSamuel A.J. TrammellJennifer J. HsiaoMatthew J. PotthoffKatsutaro Morino
- Journals
- Cell (1 paper)Proceedings of the National Academy of Sciences (4 papers)Journal of Biological Chemistry (3 papers)
- Partner nations
- DenmarkUnited StatesUnited Kingdom
In The Last Decade
Matthew P. Gillum
55 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 101
- Geriatrics and Gerontology 351
- Physiology 899
- Endocrine and Autonomic Systems 215
- Endocrinology, Diabetes and Metabolism 414
- Epidemiology 781
Countries citing papers authored by Matthew P. Gillum
This map shows the geographic impact of Matthew P. Gillum'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 Matthew P. Gillum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew P. Gillum more than expected).
Fields of papers citing papers by Matthew P. Gillum
This network shows the impact of papers produced by Matthew P. Gillum. 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 Matthew P. Gillum. The network helps show where Matthew P. Gillum may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew P. Gillum, 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 | 2025 | 1 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 4 | |
| 6 | 2021 | 5 | |
| 7 | 2021 | 22 | |
| 8 | 2021 | 23 | |
| 9 | 2020 | 24 | |
| 10 | 2020 | 18 | |
| 11 | 2020 | 1 | |
| 12 | 2019 | 26 | |
| 13 | 2019 | 35 | |
| 14 | 2019 | 48 | |
| 15 | 2018 | 18 | |
| 16 | 2018 | 84 | |
| 17 | 2013 | 18 | |
| 18 | 2013 | 38 | |
| 19 | 2011 | 56 | |
| 20 | 2010 | 89 |
About Matthew P. Gillum
Matthew P. Gillum is a scholar working on Geriatrics and Gerontology, Endocrinology, Diabetes and Metabolism and Physiology, having authored 56 papers that have together received 2.4k indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (19 papers), Adipose Tissue and Metabolism (14 papers), Kruppel-like factors research (12 papers), Liver Disease Diagnosis and Treatment (11 papers), Diet, Metabolism, and Disease (11 papers), Epigenetics and DNA Methylation (10 papers), Sirtuins and Resveratrol in Medicine (6 papers) and Pancreatic function and diabetes (6 papers). The work is most often cited by research in Geriatrics and Gerontology (351 citations), Physiology (899 citations) and Endocrine and Autonomic Systems (215 citations). Matthew P. Gillum has collaborated with scholars based in Denmark, United States and United Kingdom. Frequent co-authors include Gerald I. Shulman, Derek M. Erion, Maya E. Kotas, Gary W. Cline, Samuel A.J. Trammell, Jennifer J. Hsiao, Matthew J. Potthoff, Katsutaro Morino, Susanne Neschen and Rebecca L. Pongratz. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.