Jun Panee
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Nutrition and Dietetics top 5%
- Selenium in Biological Systems
- Trace Elements in Health
Papers in
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- Gut microbiota and health 3
- Genomics, phytochemicals, and oxidative stress 3
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- Adipose Tissue and Metabolism 5
- Diet and metabolism studies 3
- Co-authors
- Marla J. Berry (7 shared papers)Wanyu Liu (6 shared papers)Zoia Stoytcheva (1 shared paper)Jason K. Higa (4 shared papers)Wei Jia (7 shared papers)Aihua Zhao (7 shared papers)Linda Chang (2 shared papers)Tianlu Chen (6 shared papers)
- Journals
- Journal of Neuroimmune Pharmacology (4 papers)Scientific Reports (3 papers)Phytotherapy Research (2 papers)International Journal of Biological Sciences (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Jun Panee
29 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 110
- Biological Psychiatry 77
- Nutrition and Dietetics 210
- Physiology 260
- Epidemiology 270
- Behavioral Neuroscience 24
Countries citing papers authored by Jun Panee
This map shows the geographic impact of Jun Panee'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 Jun Panee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Panee more than expected).
Fields of papers citing papers by Jun Panee
This network shows the impact of papers produced by Jun Panee. 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 Jun Panee. The network helps show where Jun Panee may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Panee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 336 | |
| 2 | 2007 | 92 | |
| 3 | 2018 | 64 | |
| 4 | 2016 | 62 | |
| 5 | 2010 | 46 | |
| 6 | 2016 | 45 | |
| 7 | 2017 | 43 | |
| 8 | 2012 | 43 | |
| 9 | 2013 | 40 | |
| 10 | 2017 | 36 | |
| 11 | 2018 | 32 | |
| 12 | 2007 | 29 | |
| 13 | 2016 | 29 | |
| 14 | 2013 | 29 | |
| 15 | 2007 | 28 | |
| 16 | 2013 | 23 | |
| 17 | 2013 | 23 | |
| 18 | 2016 | 21 | |
| 19 | 2011 | 20 | |
| 20 | 2008 | 16 |
About Jun Panee
Jun Panee is a scholar working on Molecular Biology, Physiology, Epidemiology, Nutrition and Dietetics and Biological Psychiatry, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Tryptophan and brain disorders (5 papers), Adipose Tissue and Metabolism (5 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Selenium in Biological Systems (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Gut microbiota and health (3 papers), Genomics, phytochemicals, and oxidative stress (3 papers) and Diet and metabolism studies (3 papers). The work is most often cited by research in Biological Psychiatry (77 citations), Nutrition and Dietetics (210 citations), Physiology (260 citations), Epidemiology (270 citations) and Behavioral Neuroscience (24 citations). Jun Panee has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Marla J. Berry, Wanyu Liu, Zoia Stoytcheva, Jason K. Higa, Wei Jia, Aihua Zhao, Linda Chang, Tianlu Chen, Abby C. Collier and Guoxiang Xie. Their work appears in journals such as Journal of Neuroimmune Pharmacology, Scientific Reports, Phytotherapy Research, International Journal of Biological Sciences 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.