Ye Tao
Impact in
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
- Acute Kidney Injury Research
- Chronic Kidney Disease and Diabetes
Papers in
- Nephrology 16
- Acute Kidney Injury Research 7
- Renal Diseases and Glomerulopathies 5
- Dialysis and Renal Disease Management 4
- Gout, Hyperuricemia, Uric Acid 2
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- Protein Hydrolysis and Bioactive Peptides 2
- Co-authors
- Mian Zhang (6 shared papers)Hongxu Yang (3 shared papers)Ping Fu (6 shared papers)Lei Lü (2 shared papers)Yi Wen (1 shared paper)Xiaochun Bai (1 shared paper)Guozhi Xiao (1 shared paper)Jing Zhang (1 shared paper)
- Journals
- Renal Failure (2 papers)Autophagy (1 paper)Injury (1 paper)Journal of Bone and Mineral Research (1 paper)Science Bulletin (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Ye Tao
31 papers receiving 634 citations
Ye Tao's Hit Papers
Peers
Comparison fields: 5 of 101
- Nephrology 143
- Complementary and Manual Therapy 36
- Rheumatology 174
- Cancer Research 78
- Water Science and Technology 54
Countries citing papers authored by Ye Tao
This map shows the geographic impact of Ye Tao'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 Tao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ye Tao more than expected).
Fields of papers citing papers by Ye Tao
This network shows the impact of papers produced by Ye Tao. 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 Tao. The network helps show where Ye Tao may publish in the future.
Co-authors
The 25 scholars most cited alongside Ye Tao, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | MTORC1 coordinates the autophagy and apoptosis signaling in articular chondrocytes in osteoarthritic temporomandibular joint Hit paper breakdown → | 2019 | 227 |
| 2 | 2007 | 83 | |
| 3 | 2013 | 40 | |
| 4 | 2022 | 31 | |
| 5 | 2015 | 27 | |
| 6 | 2020 | 25 | |
| 7 | 2016 | 19 | |
| 8 | 2017 | 18 | |
| 9 | 2010 | 17 | |
| 10 | 2023 | 17 | |
| 11 | 2012 | 17 | |
| 12 | 2022 | 17 | |
| 13 | 2023 | 16 | |
| 14 | 2024 | 11 | |
| 15 | 2022 | 10 | |
| 16 | 2011 | 9 | |
| 17 | 2020 | 8 | |
| 18 | 2022 | 8 | |
| 19 | 2013 | 7 | |
| 20 | 2022 | 6 |
About Ye Tao
Ye Tao is a scholar working on Nephrology, Molecular Biology, Surgery, Rheumatology and Epidemiology, having authored 36 papers that have together received 642 indexed citations. Recurring topics across this work include Acute Kidney Injury Research (7 papers), Renal Diseases and Glomerulopathies (5 papers), Osteoarthritis Treatment and Mechanisms (4 papers), Dialysis and Renal Disease Management (4 papers), Central Venous Catheters and Hemodialysis (3 papers), Protein Hydrolysis and Bioactive Peptides (2 papers), Muscle and Compartmental Disorders (2 papers) and Gout, Hyperuricemia, Uric Acid (2 papers). The work is most often cited by research in Nephrology (143 citations), Complementary and Manual Therapy (36 citations), Rheumatology (174 citations), Cancer Research (78 citations) and Water Science and Technology (54 citations). Ye Tao has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Mian Zhang, Hongxu Yang, Ping Fu, Lei Lü, Yi Wen, Xiaochun Bai, Guozhi Xiao, Jing Zhang, Meiqing Wang and Qian Liu. Their work appears in journals such as Renal Failure, Autophagy, Injury, Journal of Bone and Mineral Research and Science Bulletin.
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.