Keith Tan
Impact in
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- Regulation of Appetite and Obesity
- Circadian rhythm and melatonin
- Sensory Systems top 10%
Papers in
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- Genomics and Chromatin Dynamics 2
- PI3K/AKT/mTOR signaling in cancer 2
- Developmental Biology and Gene Regulation 1
- RNA and protein synthesis mechanisms 1
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- Regulation of Appetite and Obesity 2
- Circadian rhythm and melatonin 1
- Co-authors
- Jeffrey M. Friedman (5 shared papers)Zachary A. Knight (3 shared papers)Kıvanç Birsoy (2 shared papers)Sarah F. Schmidt (2 shared papers)Mats I. Ekstrand (1 shared paper)Ana B. Emiliano (1 shared paper)Robert W. Wysocki (1 shared paper)Jennifer L. Garrison (1 shared paper)
- Journals
- Molecular Metabolism (3 papers)Biochemical and Biophysical Research Communications (1 paper)Cell (1 paper)International Journal of Cancer (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Keith Tan
9 papers receiving 723 citations
Peers
Comparison fields: 5 of 77
- Endocrine and Autonomic Systems 173
- Sensory Systems 36
- Nutrition and Dietetics 86
- Cellular and Molecular Neuroscience 94
- Physiology 122
Countries citing papers authored by Keith Tan
This map shows the geographic impact of Keith Tan'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 Keith Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keith Tan more than expected).
Fields of papers citing papers by Keith Tan
This network shows the impact of papers produced by Keith Tan. 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 Keith Tan. The network helps show where Keith Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Keith Tan, 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 | 2012 | 240 | |
| 2 | 2008 | 82 | |
| 3 | 2007 | 79 | |
| 4 | 2003 | 76 | |
| 5 | 2014 | 70 | |
| 6 | 2014 | 59 | |
| 7 | 2008 | 46 | |
| 8 | 2013 | 45 | |
| 9 | 2018 | 33 |
About Keith Tan
Keith Tan is a scholar working on Molecular Biology, Endocrine and Autonomic Systems, Physiology, Nutrition and Dietetics and Genetics, having authored 9 papers that have together received 730 indexed citations. Recurring topics across this work include Biochemical Analysis and Sensing Techniques (2 papers), Regulation of Appetite and Obesity (2 papers), Genomics and Chromatin Dynamics (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Developmental Biology and Gene Regulation (1 paper), Circadian rhythm and melatonin (1 paper), RNA and protein synthesis mechanisms (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (173 citations), Sensory Systems (36 citations), Nutrition and Dietetics (86 citations), Cellular and Molecular Neuroscience (94 citations) and Physiology (122 citations). Keith Tan has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Jeffrey M. Friedman, Zachary A. Knight, Kıvanç Birsoy, Sarah F. Schmidt, Mats I. Ekstrand, Ana B. Emiliano, Robert W. Wysocki, Jennifer L. Garrison, Katherine L. B. Borden and Abdellatif Amri. Their work appears in journals such as Molecular Metabolism, Biochemical and Biophysical Research Communications, Cell, International Journal of Cancer and Journal of Biological Chemistry.
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.