Jacob G. Smith
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
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- Circadian rhythm and melatonin
Papers in
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- Circadian rhythm and melatonin 12
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- Spaceflight effects on biology 5
- Adipose Tissue and Metabolism 2
- Dietary Effects on Health 2
- Co-authors
- Salvador Aznar Benitah (8 shared papers)Paolo Sassone‐Corsi (9 shared papers)Valentina M. Zinna (6 shared papers)Kevin B. Koronowski (8 shared papers)Patrick-Simon Welz (6 shared papers)Kenichiro Kinouchi (3 shared papers)Fariba Oveisi (2 shared papers)Ralph E. Purdy (2 shared papers)
- Journals
- Cell Reports (3 papers)Cell (2 papers)Molecular & Cellular Proteomics (1 paper)Nature Reviews Molecular Cell Biology (1 paper)Science Advances (1 paper)
- Partner nations
- United StatesSpainItaly
In The Last Decade
Jacob G. Smith
18 papers receiving 776 citations
Peers
Comparison fields: 5 of 84
- Aging 109
- Endocrine and Autonomic Systems 359
- Physiology 305
- Hematology 93
- Nephrology 45
Countries citing papers authored by Jacob G. Smith
This map shows the geographic impact of Jacob G. Smith'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 Jacob G. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacob G. Smith more than expected).
Fields of papers citing papers by Jacob G. Smith
This network shows the impact of papers produced by Jacob G. Smith. 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 Jacob G. Smith. The network helps show where Jacob G. Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside Jacob G. Smith, 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 | 2019 | 221 | |
| 2 | 2019 | 102 | |
| 3 | 2016 | 101 | |
| 4 | 1996 | 71 | |
| 5 | 1995 | 63 | |
| 6 | 2013 | 55 | |
| 7 | 2018 | 28 | |
| 8 | 2022 | 26 | |
| 9 | 2024 | 26 | |
| 10 | 2018 | 21 | |
| 11 | 2024 | 17 | |
| 12 | 2018 | 16 | |
| 13 | 2025 | 12 | |
| 14 | 2023 | 9 | |
| 15 | 2022 | 7 | |
| 16 | 2020 | 6 | |
| 17 | 2024 | 2 | |
| 18 | 2023 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2026 | 0 |
About Jacob G. Smith
Jacob G. Smith is a scholar working on Endocrine and Autonomic Systems, Physiology, Aging, Molecular Biology and Cellular and Molecular Neuroscience, having authored 20 papers that have together received 784 indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (12 papers), Genetics, Aging, and Longevity in Model Organisms (7 papers), Spaceflight effects on biology (5 papers), Photoreceptor and optogenetics research (3 papers), Erythropoietin and Anemia Treatment (2 papers), Adipose Tissue and Metabolism (2 papers), Dietary Effects on Health (2 papers) and Signaling Pathways in Disease (1 paper). The work is most often cited by research in Aging (109 citations), Endocrine and Autonomic Systems (359 citations), Physiology (305 citations), Hematology (93 citations) and Nephrology (45 citations). Jacob G. Smith has collaborated with scholars based in United States, Spain and Italy. Frequent co-authors include Salvador Aznar Benitah, Paolo Sassone‐Corsi, Valentina M. Zinna, Kevin B. Koronowski, Patrick-Simon Welz, Kenichiro Kinouchi, Fariba Oveisi, Ralph E. Purdy, Xuehan Zhou and Pierre Baldi. Their work appears in journals such as Cell Reports, Cell, Molecular & Cellular Proteomics, Nature Reviews Molecular Cell Biology and Science Advances.
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.