Daniel C. Levine
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Endocrine and Autonomic Systems top 0.5%
- Circadian rhythm and melatonin
Papers in
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- Circadian rhythm and melatonin 13
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- Adipose Tissue and Metabolism 4
- Dietary Effects on Health 3
- Co-authors
- Joseph Bass (13 shared papers)Clara Bien Peek (9 shared papers)Kathryn Moynihan Ramsey (8 shared papers)Yumiko Kobayashi (4 shared papers)Jonathan Cedernaes (7 shared papers)Chiaki Omura (4 shared papers)Biliana Marcheva (5 shared papers)Alison H. Affinati (2 shared papers)
- Journals
- Current Biology (2 papers)Cell Metabolism (2 papers)Science (2 papers)Molecular Cell (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesSwedenDenmark
In The Last Decade
Daniel C. Levine
14 papers receiving 1.3k citations
Daniel C. Levine's Hit Papers
Peers
Comparison fields: 5 of 88
- Aging 211
- Endocrine and Autonomic Systems 716
- Geriatrics and Gerontology 151
- Physiology 583
- Biological Psychiatry 45
Countries citing papers authored by Daniel C. Levine
This map shows the geographic impact of Daniel C. Levine'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 Daniel C. Levine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel C. Levine more than expected).
Fields of papers citing papers by Daniel C. Levine
This network shows the impact of papers produced by Daniel C. Levine. 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 Daniel C. Levine. The network helps show where Daniel C. Levine may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel C. Levine, 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 | Circadian Clock NAD + Cycle Drives Mitochondrial Oxidative Metabolism in Mice Hit paper breakdown → | 2013 | 518 |
| 2 | 2016 | 318 | |
| 3 | 2020 | 130 | |
| 4 | 2019 | 93 | |
| 5 | 2017 | 64 | |
| 6 | 2021 | 53 | |
| 7 | 2015 | 28 | |
| 8 | 2019 | 21 | |
| 9 | 2022 | 20 | |
| 10 | 2021 | 17 | |
| 11 | 2020 | 13 | |
| 12 | 2019 | 5 | |
| 13 | 2023 | 2 | |
| 14 | 2024 | 1 | |
| 15 | 2025 | 0 |
About Daniel C. Levine
Daniel C. Levine is a scholar working on Endocrine and Autonomic Systems, Physiology, Cellular and Molecular Neuroscience, Geriatrics and Gerontology and Aging, having authored 15 papers that have together received 1.3k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (13 papers), Adipose Tissue and Metabolism (4 papers), Sirtuins and Resveratrol in Medicine (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Photoreceptor and optogenetics research (3 papers), Light effects on plants (3 papers), Dietary Effects on Health (3 papers) and Sleep and Wakefulness Research (2 papers). The work is most often cited by research in Aging (211 citations), Endocrine and Autonomic Systems (716 citations), Geriatrics and Gerontology (151 citations), Physiology (583 citations) and Biological Psychiatry (45 citations). Daniel C. Levine has collaborated with scholars based in United States, Sweden and Denmark. Frequent co-authors include Joseph Bass, Clara Bien Peek, Kathryn Moynihan Ramsey, Yumiko Kobayashi, Jonathan Cedernaes, Chiaki Omura, Biliana Marcheva, Alison H. Affinati, Nicolle A. Bonar and Akihiko Taguchi. Their work appears in journals such as Current Biology, Cell Metabolism, Science, Molecular Cell and Cell Reports.
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.