Yi Ye
Impact in
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Physiology top 5%
- Pain Mechanisms and Treatments
- Adenosine and Purinergic Signaling
Papers in
-
- Neuropeptides and Animal Physiology 5
- Nerve injury and regeneration 2
- Co-authors
- Enqin Li (1 shared paper)Sen Ye (1 shared paper)Brian L. Schmidt (4 shared papers)Chi T. Viet (3 shared papers)Dongmin Dang (2 shared papers)Peiping Xu (2 shared papers)Nicole N. Scheff (1 shared paper)Atul Sharma (1 shared paper)
- Journals
- Pain (2 papers)Clinical Cancer Research (1 paper)Progress in Neurobiology (1 paper)Inflammopharmacology (1 paper)Legal Medicine (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yi Ye
28 papers receiving 1.2k citations
Yi Ye's Hit Papers
Peers
Comparison fields: 5 of 148
- Infectious Diseases 326
- Physiology 61
- Modeling and Simulation 57
- General Dentistry 16
- Neurology 130
Countries citing papers authored by Yi Ye
This map shows the geographic impact of Yi 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 Yi Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Ye more than expected).
Fields of papers citing papers by Yi Ye
This network shows the impact of papers produced by Yi 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 Yi Ye. The network helps show where Yi Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | COVID-19: what has been learned and to be learned about the novel coronavirus disease Hit paper breakdown → | 2020 | 553 |
| 2 | 2017 | 76 | |
| 3 | 2019 | 75 | |
| 4 | 2019 | 54 | |
| 5 | 2017 | 50 | |
| 6 | 2011 | 48 | |
| 7 | 2021 | 36 | |
| 8 | 2020 | 34 | |
| 9 | 2014 | 32 | |
| 10 | 2019 | 26 | |
| 11 | 2019 | 25 | |
| 12 | 2017 | 25 | |
| 13 | 2014 | 22 | |
| 14 | 2014 | 20 | |
| 15 | 2019 | 16 | |
| 16 | 2019 | 16 | |
| 17 | 2019 | 14 | |
| 18 | 2019 | 14 | |
| 19 | 2021 | 12 | |
| 20 | 2019 | 7 |
About Yi Ye
Yi Ye is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Epidemiology and Physiology, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (5 papers), Neuropeptides and Animal Physiology (5 papers), Cancer, Stress, Anesthesia, and Immune Response (3 papers), Adenosine and Purinergic Signaling (3 papers), Nerve injury and regeneration (2 papers), Immune Response and Inflammation (2 papers), Gestational Diabetes Research and Management (2 papers) and Influenza Virus Research Studies (2 papers). The work is most often cited by research in Infectious Diseases (326 citations), Physiology (61 citations), Modeling and Simulation (57 citations), General Dentistry (16 citations) and Neurology (130 citations). Yi Ye has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Enqin Li, Sen Ye, Brian L. Schmidt, Chi T. Viet, Dongmin Dang, Peiping Xu, Nicole N. Scheff, Atul Sharma, Aditi Bhattacharya and John C. Dolan. Their work appears in journals such as Pain, Clinical Cancer Research, Progress in Neurobiology, Inflammopharmacology and Legal Medicine.
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.