Ye Tan
Impact in
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- Pain Management and Treatment
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments
Papers in
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- Sphingolipid Metabolism and Signaling 2
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- Musculoskeletal pain and rehabilitation 6
- Co-authors
- Todd E. DeFor (3 shared papers)Kathryn E. Dusenbery (1 shared paper)Norma K.C. Ramsay (1 shared paper)Lawrence Charnas (1 shared paper)Richard Ziegler (1 shared paper)Susan L. Abel (1 shared paper)Patrick Aubourg (1 shared paper)Shunichi Kato (1 shared paper)
- Journals
- Blood (4 papers)Neuromodulation Technology at the Neural Interface (3 papers)Frontiers in Oncology (3 papers)Clinical Therapeutics (2 papers)Journal of Pain (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Ye Tan
34 papers receiving 791 citations
Peers
Comparison fields: 5 of 87
- Anesthesiology and Pain Medicine 207
- Transplantation 58
- Clinical Biochemistry 106
- Pharmacology 205
- Neurology 80
Countries citing papers authored by Ye Tan
This map shows the geographic impact of Ye 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 Ye Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ye Tan more than expected).
Fields of papers citing papers by Ye Tan
This network shows the impact of papers produced by Ye 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 Ye Tan. The network helps show where Ye Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ye 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 246 | |
| 2 | 2019 | 89 | |
| 3 | 2018 | 79 | |
| 4 | 2005 | 69 | |
| 5 | 2019 | 36 | |
| 6 | 2020 | 31 | |
| 7 | 2020 | 31 | |
| 8 | 2013 | 29 | |
| 9 | 2019 | 25 | |
| 10 | 2021 | 20 | |
| 11 | 2017 | 16 | |
| 12 | 2014 | 16 | |
| 13 | 2016 | 15 | |
| 14 | 2007 | 14 | |
| 15 | 2018 | 14 | |
| 16 | 2017 | 11 | |
| 17 | 2022 | 7 | |
| 18 | 2018 | 7 | |
| 19 | 2023 | 6 | |
| 20 | 2021 | 6 |
About Ye Tan
Ye Tan is a scholar working on Molecular Biology, Pharmacology, Anesthesiology and Pain Medicine, Pathology and Forensic Medicine and Epidemiology, having authored 35 papers that have together received 806 indexed citations. Recurring topics across this work include Musculoskeletal pain and rehabilitation (6 papers), Pain Management and Treatment (6 papers), Hematopoietic Stem Cell Transplantation (4 papers), Spine and Intervertebral Disc Pathology (3 papers), Acute Lymphoblastic Leukemia research (3 papers), Insect-Plant Interactions and Control (3 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Sphingolipid Metabolism and Signaling (2 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (207 citations), Transplantation (58 citations), Clinical Biochemistry (106 citations), Pharmacology (205 citations) and Neurology (80 citations). Ye Tan has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Todd E. DeFor, Kathryn E. Dusenbery, Norma K.C. Ramsay, Lawrence Charnas, Richard Ziegler, Susan L. Abel, Patrick Aubourg, Shunichi Kato, Charles Peters and Mehul J. Desai. Their work appears in journals such as Blood, Neuromodulation Technology at the Neural Interface, Frontiers in Oncology, Clinical Therapeutics and Journal of Pain.
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.