Daniel Zeve
- Physiology top 2%
- Adipose Tissue and Metabolism 8
- Diet and metabolism studies 2
- Genetics top 5%
- Epidemiology top 5%
- Adipokines, Inflammation, and Metabolic Diseases 6
- Aging top 10%
- Endocrine and Autonomic Systems top 10%
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- Pancreatic function and diabetes 4
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- Bone Metabolism and Diseases 3
- Peroxisome Proliferator-Activated Receptors 2
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- Neuroscience and Neuropharmacology Research 2
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- Prenatal Substance Exposure Effects 2
- Co-authors
- Jonathan M. GraffJae Myoung SuhWei TangMichelle D. TallquistDarko BosnakovskiMichael KybaRobert E. HammerDrew Stenesen
- Cited by
- PhysiologyGeneticsEpidemiology
- Journals
- Cell Metabolism (3 papers)Nature Communications (3 papers)Molecular and Cellular Biology (2 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Daniel Zeve
24 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Physiology 922
- Genetics 311
- Epidemiology 703
- Aging 28
- Endocrine and Autonomic Systems 91
Countries citing papers authored by Daniel Zeve
This map shows the geographic impact of Daniel Zeve'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 Zeve with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Zeve more than expected).
Fields of papers citing papers by Daniel Zeve
This network shows the impact of papers produced by Daniel Zeve. 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 Zeve. The network helps show where Daniel Zeve may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Zeve, 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 | 2026 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 6 | |
| 4 | 2023 | 9 | |
| 5 | 2022 | 21 | |
| 6 | 2022 | 26 | |
| 7 | 2022 | 36 | |
| 8 | 2016 | 11 | |
| 9 | 2016 | 64 | |
| 10 | 2014 | 45 | |
| 11 | 2013 | 210 | |
| 12 | 2012 | 64 | |
| 13 | 2011 | 75 | |
| 14 | 2009 | 82 | |
| 15 | White Fat Progenitor Cells Reside in the Adipose Vasculaturebreakdown → | 2008 | 866 |
| 16 | 2007 | 8 | |
| 17 | 2006 | 4 | |
| 18 | 2005 | 3 | |
| 19 | 2005 | 51 | |
| 20 | 2003 | 15 |
About Daniel Zeve
Daniel Zeve is a scholar working on General Psychology, Aging and Physiology, having authored 26 papers that have together received 2.1k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (8 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), Pancreatic function and diabetes (4 papers), Bone Metabolism and Diseases (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Prenatal Substance Exposure Effects (2 papers), Diet and metabolism studies (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). The work is most often cited by research in Physiology (922 citations), Genetics (311 citations) and Epidemiology (703 citations). Daniel Zeve has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Jonathan M. Graff, Jae Myoung Suh, Wei Tang, Michelle D. Tallquist, Darko Bosnakovski, Michael Kyba, Robert E. Hammer, Drew Stenesen, Daniel C. Berry and Wei Tang. Their work appears in journals such as Cell Metabolism, Nature Communications, Molecular and Cellular Biology, Infection and Immunity and Brain Research.
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.