Mark Perelis
Impact in
-
- Circadian rhythm and melatonin
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
Papers in
-
- Circadian rhythm and melatonin 8
-
- Metabolism, Diabetes, and Cancer 2
- RNA modifications and cancer 2
- Co-authors
- Joseph Bass (9 shared papers)Kathryn Moynihan Ramsey (7 shared papers)Biliana Marcheva (6 shared papers)Chiaki Omura (4 shared papers)Grant D. Barish (2 shared papers)Clara Bien Peek (3 shared papers)Hee‐Kyung Hong (2 shared papers)Akihiko Taguchi (2 shared papers)
- Journals
- Cell Metabolism (2 papers)Genes & Development (2 papers)Diabetes (2 papers)eLife (2 papers)Diabetes Obesity and Metabolism (1 paper)
- Partner nations
- United StatesJapanAustralia
In The Last Decade
Mark Perelis
13 papers receiving 707 citations
Peers
Comparison fields: 5 of 75
- Endocrine and Autonomic Systems 380
- Aging 93
- Physiology 288
- Endocrinology, Diabetes and Metabolism 75
- Cancer Research 66
Countries citing papers authored by Mark Perelis
This map shows the geographic impact of Mark Perelis'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 Mark Perelis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Perelis more than expected).
Fields of papers citing papers by Mark Perelis
This network shows the impact of papers produced by Mark Perelis. 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 Mark Perelis. The network helps show where Mark Perelis may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Perelis, 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 | 2015 | 291 | |
| 2 | 2021 | 119 | |
| 3 | 2018 | 84 | |
| 4 | 2017 | 48 | |
| 5 | 2016 | 36 | |
| 6 | 2015 | 29 | |
| 7 | 2015 | 27 | |
| 8 | 2019 | 21 | |
| 9 | 2020 | 20 | |
| 10 | 2024 | 14 | |
| 11 | 2024 | 11 | |
| 12 | 2023 | 7 | |
| 13 | 2015 | 1 | |
| 14 | 2025 | 0 | |
| 15 | 2025 | 0 | |
| 16 | 2025 | 0 | |
| 17 | 2024 | 0 |
About Mark Perelis
Mark Perelis is a scholar working on Endocrine and Autonomic Systems, Molecular Biology, Surgery, Physiology and Plant Science, having authored 17 papers that have together received 708 indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (8 papers), Pancreatic function and diabetes (4 papers), Plant Molecular Biology Research (3 papers), Light effects on plants (3 papers), Adipose Tissue and Metabolism (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Dietary Effects on Health (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (380 citations), Aging (93 citations), Physiology (288 citations), Endocrinology, Diabetes and Metabolism (75 citations) and Cancer Research (66 citations). Mark Perelis has collaborated with scholars based in United States, Japan and Australia. Frequent co-authors include Joseph Bass, Kathryn Moynihan Ramsey, Biliana Marcheva, Chiaki Omura, Grant D. Barish, Clara Bien Peek, Hee‐Kyung Hong, Akihiko Taguchi, Wenyu Huang and Amanda L. Allred. Their work appears in journals such as Cell Metabolism, Genes & Development, Diabetes, eLife and Diabetes Obesity and Metabolism.
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.