Dawei Ye
Impact in
- Infectious Diseases top 2%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Physiology top 2%
- Pain Mechanisms and Treatments
Papers in
- Physiology 23
- Pain Mechanisms and Treatments 21
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- Inflammasome and immune disorders 3
- Co-authors
- Ya‐Qun Zhou (28 shared papers)Qingquan Liu (6 shared papers)Yiru Wang (4 shared papers)Lisheng Wang (1 shared paper)Yuke Tian (23 shared papers)Shuping Chen (15 shared papers)Dai-Qiang Liu (14 shared papers)Jia Sun (14 shared papers)
- Journals
- Biomedicine & Pharmacotherapy (5 papers)Oncotarget (3 papers)Pharmacological Research (3 papers)The Journal of Urology (2 papers)Frontiers in Public Health (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Dawei Ye
72 papers receiving 3.9k citations
Dawei Ye's Hit Papers
Peers
Comparison fields: 5 of 159
- Infectious Diseases 636
- Physiology 821
- Pharmacology 235
- Neurology 314
- Modeling and Simulation 87
Countries citing papers authored by Dawei Ye
This map shows the geographic impact of Dawei Ye'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 Dawei Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dawei Ye more than expected).
Fields of papers citing papers by Dawei Ye
This network shows the impact of papers produced by Dawei Ye. 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 Dawei Ye. The network helps show where Dawei Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Dawei Ye, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Review of the 2019 novel coronavirus (SARS-CoV-2) based on current evidence Hit paper breakdown → | 2020 | 803 |
| 2 | Interleukin-6: an emerging regulator of pathological pain Hit paper breakdown → | 2016 | 326 |
| 3 | 2017 | 261 | |
| 4 | 2020 | 224 | |
| 5 | 2022 | 98 | |
| 6 | 2020 | 98 | |
| 7 | 2018 | 90 | |
| 8 | 2017 | 85 | |
| 9 | 2020 | 83 | |
| 10 | 2022 | 77 | |
| 11 | 2016 | 77 | |
| 12 | 2017 | 77 | |
| 13 | 2020 | 73 | |
| 14 | 2019 | 73 | |
| 15 | 2023 | 70 | |
| 16 | 2021 | 65 | |
| 17 | 2018 | 61 | |
| 18 | 2019 | 59 | |
| 19 | A clinical-stage Nrf2 activator suppresses osteoclast differentiation via the iron-ornithine axis Hit paper breakdown → | 2024 | 59 |
| 20 | 2023 | 53 |
About Dawei Ye
Dawei Ye is a scholar working on Physiology, Molecular Biology, Oncology, Infectious Diseases and Cellular and Molecular Neuroscience, having authored 73 papers that have together received 4.0k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (21 papers), COVID-19 Clinical Research Studies (8 papers), Pharmacological Effects of Natural Compounds (6 papers), Cancer Treatment and Pharmacology (4 papers), Long-Term Effects of COVID-19 (4 papers), Neuropeptides and Animal Physiology (4 papers), Inflammasome and immune disorders (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). The work is most often cited by research in Infectious Diseases (636 citations), Physiology (821 citations), Pharmacology (235 citations), Neurology (314 citations) and Modeling and Simulation (87 citations). Dawei Ye has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Ya‐Qun Zhou, Qingquan Liu, Yiru Wang, Lisheng Wang, Yuke Tian, Shuping Chen, Dai-Qiang Liu, Jia Sun, Ken Ling and Tao Wang. Their work appears in journals such as Biomedicine & Pharmacotherapy, Oncotarget, Pharmacological Research, The Journal of Urology and Frontiers in Public Health.
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.