Jonathan D. Best
Impact in
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- Circadian rhythm and melatonin
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
Papers in
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- Alzheimer's disease research and treatments 7
-
- Epigenetics and DNA Methylation 3
- Co-authors
- Jennifer Loros (1 shared paper)Giles E. Duffield (1 shared paper)Anton Bittner (1 shared paper)Bernhard H. Meurers (1 shared paper)Jay Dunlap (1 shared paper)Nessa Carey (3 shared papers)Karen L. Smith (2 shared papers)Michael H. Hastings (2 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (4 papers)Journal of Pharmacology and Experimental Therapeutics (3 papers)Drug Discovery Today (2 papers)Journal of Medicinal Chemistry (1 paper)Current Biology (1 paper)
- Partner nations
- United KingdomUnited States
In The Last Decade
Jonathan D. Best
18 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 94
- Endocrine and Autonomic Systems 385
- Aging 89
- Physiology 370
- Cell Biology 241
- Cellular and Molecular Neuroscience 243
Countries citing papers authored by Jonathan D. Best
This map shows the geographic impact of Jonathan D. Best'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 Jonathan D. Best with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan D. Best more than expected).
Fields of papers citing papers by Jonathan D. Best
This network shows the impact of papers produced by Jonathan D. Best. 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 Jonathan D. Best. The network helps show where Jonathan D. Best may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan D. Best, 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 | 2002 | 285 | |
| 2 | 2007 | 183 | |
| 3 | 2008 | 153 | |
| 4 | 1999 | 103 | |
| 5 | 2005 | 76 | |
| 6 | 2006 | 64 | |
| 7 | 2005 | 63 | |
| 8 | 2006 | 50 | |
| 9 | 2005 | 45 | |
| 10 | 2009 | 43 | |
| 11 | 1996 | 39 | |
| 12 | 2004 | 35 | |
| 13 | 2010 | 23 | |
| 14 | 2006 | 22 | |
| 15 | 2009 | 17 | |
| 16 | 2011 | 16 | |
| 17 | 2006 | 4 | |
| 18 | 2023 | 2 |
About Jonathan D. Best
Jonathan D. Best is a scholar working on Physiology, Molecular Biology, Cellular and Molecular Neuroscience, Pharmacology and Endocrine and Autonomic Systems, having authored 18 papers that have together received 1.2k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (7 papers), Cholinesterase and Neurodegenerative Diseases (4 papers), Drug Transport and Resistance Mechanisms (3 papers), Computational Drug Discovery Methods (3 papers), Nuclear Receptors and Signaling (3 papers), Circadian rhythm and melatonin (3 papers), Epigenetics and DNA Methylation (3 papers) and Light effects on plants (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (385 citations), Aging (89 citations), Physiology (370 citations), Cell Biology (241 citations) and Cellular and Molecular Neuroscience (243 citations). Jonathan D. Best has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Jennifer Loros, Giles E. Duffield, Anton Bittner, Bernhard H. Meurers, Jay Dunlap, Nessa Carey, Karen L. Smith, Michael H. Hastings, Elizabeth S. Maywood and Mark S. Shearman. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Pharmacology and Experimental Therapeutics, Drug Discovery Today, Journal of Medicinal Chemistry and Current Biology.
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.