Long Tan
Impact in
-
- Thyroid Disorders and Treatments
- Thyroid Cancer Diagnosis and Treatment
- Nutrition and Dietetics top 10%
Papers in
-
- Thyroid Disorders and Treatments 26
- Thyroid Cancer Diagnosis and Treatment 7
- Co-authors
- Wanqi Zhang (37 shared papers)Jun Shen (24 shared papers)Wen Chen (20 shared papers)Hua Jin (5 shared papers)Elizabeth N. Pearce (9 shared papers)Wei Pang (6 shared papers)Fuqiang Dai (2 shared papers)Hongyan Wei (10 shared papers)
- Journals
- Antiviral Research (5 papers)Journal of Nutrition (4 papers)Clinical Endocrinology (3 papers)Energies (3 papers)American Journal of Clinical Nutrition (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Long Tan
80 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 112
- Endocrinology, Diabetes and Metabolism 416
- Nutrition and Dietetics 96
- Pathology and Forensic Medicine 105
- Biochemistry 33
- Cancer Research 77
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 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 77 | |
| 2 | 2011 | 44 | |
| 3 | 2013 | 42 | |
| 4 | 2014 | 40 | |
| 5 | 2018 | 39 | |
| 6 | 2016 | 39 | |
| 7 | 2013 | 37 | |
| 8 | 2021 | 37 | |
| 9 | 2014 | 35 | |
| 10 | 2019 | 32 | |
| 11 | 2016 | 30 | |
| 12 | 2015 | 30 | |
| 13 | 2018 | 26 | |
| 14 | 2023 | 25 | |
| 15 | 2021 | 24 | |
| 16 | 2018 | 24 | |
| 17 | 2020 | 23 | |
| 18 | 2019 | 22 | |
| 19 | 2018 | 22 | |
| 20 | 2018 | 21 |
About Long Tan
Long Tan is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Pathology and Forensic Medicine, Infectious Diseases and Mechanics of Materials, having authored 82 papers that have together received 1.1k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (26 papers), Vitamin D Research Studies (7 papers), Thyroid Cancer Diagnosis and Treatment (7 papers), Hydrocarbon exploration and reservoir analysis (5 papers), CO2 Sequestration and Geologic Interactions (4 papers), Sodium Intake and Health (3 papers), Cytomegalovirus and herpesvirus research (3 papers) and Enhanced Oil Recovery Techniques (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (416 citations), Nutrition and Dietetics (96 citations), Pathology and Forensic Medicine (105 citations), Biochemistry (33 citations) and Cancer Research (77 citations). Long Tan has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Wanqi Zhang, Jun Shen, Wen Chen, Hua Jin, Elizabeth N. Pearce, Wei Pang, Fuqiang Dai, Hongyan Wei, Mei Zhu and Hongpeng Yang. Their work appears in journals such as Antiviral Research, Journal of Nutrition, Clinical Endocrinology, Energies and American Journal of Clinical Nutrition.
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.