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
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- Metabolomics and Mass Spectrometry Studies 2
-
- 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)Nicole N. Scheff (1 shared paper)Peiping Xu (2 shared papers)John C. Dolan (1 shared paper)
- Journals
- Pain (2 papers)BioMed Research International (1 paper)Biosensors and Bioelectronics (1 paper)Legal Medicine (1 paper)Behavioral and Brain Functions (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yi Ye
29 papers receiving 1.2k citations
Yi Ye's Hit Papers
Peers
Comparison fields: 5 of 147
- Infectious Diseases 277
- Physiology 63
- Modeling and Simulation 41
- General Dentistry 13
- Anesthesiology and Pain Medicine 40
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 30 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 | 555 |
| 2 | 2017 | 81 | |
| 3 | 2019 | 76 | |
| 4 | 2019 | 54 | |
| 5 | 2017 | 53 | |
| 6 | 2011 | 48 | |
| 7 | 2021 | 38 | |
| 8 | 2021 | 38 | |
| 9 | 2020 | 36 | |
| 10 | 2014 | 32 | |
| 11 | 2019 | 27 | |
| 12 | 2019 | 26 | |
| 13 | 2017 | 26 | |
| 14 | 2014 | 23 | |
| 15 | 2014 | 21 | |
| 16 | 2019 | 18 | |
| 17 | 2019 | 17 | |
| 18 | 2019 | 15 | |
| 19 | 2019 | 14 | |
| 20 | 2021 | 13 |
About Yi Ye
Yi Ye is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Physiology and Oncology, having authored 30 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (5 papers), Neuropeptides and Animal Physiology (5 papers), Adenosine and Purinergic Signaling (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Nerve injury and regeneration (2 papers), Cancer, Stress, Anesthesia, and Immune Response (2 papers), Adolescent and Pediatric Healthcare (1 paper) and Nitric Oxide and Endothelin Effects (1 paper). The work is most often cited by research in Infectious Diseases (277 citations), Physiology (63 citations), Modeling and Simulation (41 citations), General Dentistry (13 citations) and Anesthesiology and Pain Medicine (40 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, Nicole N. Scheff, Peiping Xu, John C. Dolan, Atul Sharma and Aditi Bhattacharya. Their work appears in journals such as Pain, BioMed Research International, Biosensors and Bioelectronics, Legal Medicine and Behavioral and Brain Functions.
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.