Michel van Weeghel
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms 13
- Clinical Biochemistry top 1%
- Metabolism and Genetic Disorders 17
- Biochemistry top 2%
- Geriatrics and Gerontology top 5%
- Biological Psychiatry top 10%
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- Adipose Tissue and Metabolism 18
- Diet and metabolism studies 13
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- Mitochondrial Function and Pathology 15
- Peroxisome Proliferator-Activated Receptors 9
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- Circadian rhythm and melatonin 10
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- Immune cells in cancer 10
- Co-authors
- Riekelt H. HoutkooperBauke V. SchomakersGeorges E. JanssensSander M. HoutenFrédéric M. VazSimone DenisMenno P.J. de WintherRonald J. A. Wanders
- Journals
- Journal of Clinical Investigation (1 paper)Nature Communications (4 papers)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Michel van Weeghel
97 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Aging 203
- Clinical Biochemistry 295
- Biochemistry 188
- Geriatrics and Gerontology 99
- Biological Psychiatry 63
Countries citing papers authored by Michel van Weeghel
This map shows the geographic impact of Michel van Weeghel'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 Michel van Weeghel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michel van Weeghel more than expected).
Fields of papers citing papers by Michel van Weeghel
This network shows the impact of papers produced by Michel van Weeghel. 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 Michel van Weeghel. The network helps show where Michel van Weeghel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michel van Weeghel, 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 | 4 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 8 | |
| 4 | 2024 | 15 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 28 | |
| 8 | Muscle abnormalities worsen after post-exertional malaise in long COVIDbreakdown → | 2024 | 162 |
| 9 | 2023 | 7 | |
| 10 | 2022 | 60 | |
| 11 | 2022 | 10 | |
| 12 | 2022 | 27 | |
| 13 | 2021 | 33 | |
| 14 | 2021 | 2 | |
| 15 | 2021 | 21 | |
| 16 | 2021 | 15 | |
| 17 | 2021 | 29 | |
| 18 | 2020 | 16 | |
| 19 | 2020 | 36 | |
| 20 | 2019 | 36 |
About Michel van Weeghel
Michel van Weeghel is a scholar working on Aging, Clinical Biochemistry and Biochemistry, having authored 106 papers that have together received 2.8k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (18 papers), Metabolism and Genetic Disorders (17 papers), Mitochondrial Function and Pathology (15 papers), Genetics, Aging, and Longevity in Model Organisms (13 papers), Diet and metabolism studies (13 papers), Circadian rhythm and melatonin (10 papers), Immune cells in cancer (10 papers) and Peroxisome Proliferator-Activated Receptors (9 papers). The work is most often cited by research in Aging (203 citations), Clinical Biochemistry (295 citations) and Biochemistry (188 citations). Michel van Weeghel has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Riekelt H. Houtkooper, Bauke V. Schomakers, Georges E. Janssens, Sander M. Houten, Frédéric M. Vaz, Simone Denis, Menno P.J. de Winther, Ronald J. A. Wanders, Jan Van den Bossche and Rob C. I. Wüst. Their work appears in journals such as Journal of Clinical Investigation, Nature Communications and SHILAP Revista de lepidopterología.
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.