Cai He
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Physiology top 10%
- Adenosine and Purinergic Signaling
Papers in
-
- SARS-CoV-2 and COVID-19 Research 12
- Viral gastroenteritis research and epidemiology 5
- COVID-19 Clinical Research Studies 4
-
- vaccines and immunoinformatics approaches 2
- Co-authors
- Xiawei Wei (13 shared papers)Weiqi Hong (11 shared papers)H. J. Yang (12 shared papers)Xuemei He (5 shared papers)Aijun Huang (2 shared papers)Li Cao (2 shared papers)Wei Wang (7 shared papers)Guangwen Lu (9 shared papers)
- Journals
- Signal Transduction and Targeted Therapy (6 papers)Neuroscience (2 papers)Journal of Neuroscience (1 paper)Nature Communications (1 paper)Environmental Research (1 paper)
- Partner nations
- ChinaTürkiyeUnited States
In The Last Decade
Cai He
21 papers receiving 395 citations
Peers
Comparison fields: 5 of 85
- Infectious Diseases 174
- Physiology 27
- Developmental Neuroscience 18
- Animal Science and Zoology 43
- Immunology 88
Countries citing papers authored by Cai He
This map shows the geographic impact of Cai He'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 Cai He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cai He more than expected).
Fields of papers citing papers by Cai He
This network shows the impact of papers produced by Cai He. 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 Cai He. The network helps show where Cai He may publish in the future.
Co-authors
The 25 scholars most cited alongside Cai He, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 44 | |
| 2 | 2023 | 39 | |
| 3 | 2008 | 36 | |
| 4 | 2001 | 36 | |
| 5 | 2021 | 34 | |
| 6 | 2021 | 34 | |
| 7 | 2022 | 31 | |
| 8 | 2023 | 30 | |
| 9 | 2021 | 26 | |
| 10 | 2022 | 22 | |
| 11 | 2023 | 20 | |
| 12 | 2023 | 13 | |
| 13 | 2023 | 11 | |
| 14 | 2025 | 5 | |
| 15 | 2023 | 4 | |
| 16 | 2024 | 4 | |
| 17 | 2013 | 3 | |
| 18 | 2025 | 3 | |
| 19 | 2012 | 3 | |
| 20 | 2025 | 2 |
About Cai He
Cai He is a scholar working on Infectious Diseases, Molecular Biology, Animal Science and Zoology, Oncology and Inorganic Chemistry, having authored 22 papers that have together received 401 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (12 papers), Animal Virus Infections Studies (5 papers), Viral gastroenteritis research and epidemiology (5 papers), COVID-19 Clinical Research Studies (4 papers), Metal-Organic Frameworks: Synthesis and Applications (3 papers), Magnetism in coordination complexes (2 papers), Vaccine Coverage and Hesitancy (2 papers) and vaccines and immunoinformatics approaches (2 papers). The work is most often cited by research in Infectious Diseases (174 citations), Physiology (27 citations), Developmental Neuroscience (18 citations), Animal Science and Zoology (43 citations) and Immunology (88 citations). Cai He has collaborated with scholars based in China, Türkiye and United States. Frequent co-authors include Xiawei Wei, Weiqi Hong, H. J. Yang, Xuemei He, Aijun Huang, Li Cao, Wei Wang, Guangwen Lu, Li Yang and Xiangrong Song. Their work appears in journals such as Signal Transduction and Targeted Therapy, Neuroscience, Journal of Neuroscience, Nature Communications and Environmental Research.
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.