Long Tan
Impact in
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- Thyroid Disorders and Treatments
- Thyroid Cancer Diagnosis and Treatment
- Biochemistry top 10%
- Phytochemicals and Antioxidant Activities
Papers in
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- Thyroid Disorders and Treatments 27
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- Alzheimer's disease research and treatments 4
- Clinical Laboratory Practices and Quality Control 1
- Co-authors
- Wanqi Zhang (34 shared papers)Jun Shen (23 shared papers)Wen Chen (19 shared papers)Elizabeth N. Pearce (9 shared papers)Wei Pang (5 shared papers)Hongyan Wei (10 shared papers)Mei J. Zhu (8 shared papers)Zhongna Sang (6 shared papers)
- Journals
- Journal of Nutrition (4 papers)Clinical Endocrinology (3 papers)American Journal of Clinical Nutrition (3 papers)British Journal Of Nutrition (2 papers)Biological Trace Element Research (2 papers)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Long Tan
44 papers receiving 739 citations
Peers
Comparison fields: 5 of 47
- Endocrinology, Diabetes and Metabolism 430
- Biochemistry 36
- Nutrition and Dietetics 25
- Pathology and Forensic Medicine 35
- Physiology 39
Countries citing papers authored by Long Tan
This map shows the geographic impact of Long 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 Long Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Tan more than expected).
Fields of papers citing papers by Long Tan
This network shows the impact of papers produced by Long 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 Long Tan. The network helps show where Long Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Long 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
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 46 | |
| 2 | 2013 | 45 | |
| 3 | 2014 | 44 | |
| 4 | 2018 | 43 | |
| 5 | 2016 | 41 | |
| 6 | 2013 | 39 | |
| 7 | 2015 | 34 | |
| 8 | 2016 | 31 | |
| 9 | 2019 | 31 | |
| 10 | 2018 | 28 | |
| 11 | 2018 | 25 | |
| 12 | 2021 | 24 | |
| 13 | 2014 | 23 | |
| 14 | 2018 | 23 | |
| 15 | 2014 | 22 | |
| 16 | 2014 | 22 | |
| 17 | 2019 | 21 | |
| 18 | 2019 | 20 | |
| 19 | 2018 | 19 | |
| 20 | 2018 | 17 |
About Long Tan
Long Tan is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Nephrology, Nutrition and Dietetics and Cellular and Molecular Neuroscience, having authored 44 papers that have together received 762 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (27 papers), Alzheimer's disease research and treatments (4 papers), Gout, Hyperuricemia, Uric Acid (2 papers), Antioxidants, Aging, Portulaca oleracea (1 paper), Trace Elements in Health (1 paper), Clinical Laboratory Practices and Quality Control (1 paper), Vitamin D Research Studies (1 paper) and Dementia and Cognitive Impairment Research (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (430 citations), Biochemistry (36 citations), Nutrition and Dietetics (25 citations), Pathology and Forensic Medicine (35 citations) and Physiology (39 citations). Long Tan has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Wanqi Zhang, Jun Shen, Wen Chen, Elizabeth N. Pearce, Wei Pang, Hongyan Wei, Mei J. Zhu, Zhongna Sang, Hongpeng Yang and Na Zhao. Their work appears in journals such as Journal of Nutrition, Clinical Endocrinology, American Journal of Clinical Nutrition, British Journal Of Nutrition and Biological Trace Element 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.