Jun He
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Cancer Research top 10%
- MicroRNA in disease regulation
Papers in ⓘ
-
- SARS-CoV-2 and COVID-19 Research 15
- COVID-19 Clinical Research Studies 10
- SARS-CoV-2 detection and testing 8
- Viral Infections and Vectors 5
- Epidemiology 18
- Influenza Virus Research Studies 12
- Co-authors
- Hailin Xu (1 shared paper)Qichao Xie (1 shared paper)Yongsheng Li (1 shared paper)Chenglong Lin (3 shared papers)Yusi Peng (3 shared papers)Yong Yang (3 shared papers)Xiaoying Luo (2 shared papers)Zhengren Huang (2 shared papers)
- Journals
- Journal of Medical Virology (3 papers)Frontiers in Immunology (2 papers)Frontiers in Public Health (2 papers)Microbial Pathogenesis (2 papers)Virus Research (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Jun He
70 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 117
- Infectious Diseases 472
- Cancer Research 241
- Biophysics 61
- Electronic, Optical and Magnetic Materials 147
- Molecular Biology 544
Countries citing papers authored by Jun He
This map shows the geographic impact of Jun 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 Jun He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun He more than expected).
Fields of papers citing papers by Jun He
This network shows the impact of papers produced by Jun 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 Jun He. The network helps show where Jun He may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 177 | |
| 2 | 2021 | 159 | |
| 3 | 2021 | 102 | |
| 4 | 2020 | 80 | |
| 5 | 2021 | 75 | |
| 6 | 2021 | 68 | |
| 7 | 2020 | 61 | |
| 8 | 2022 | 49 | |
| 9 | 2020 | 47 | |
| 10 | 2021 | 37 | |
| 11 | 2021 | 33 | |
| 12 | 2022 | 23 | |
| 13 | 2021 | 22 | |
| 14 | 2009 | 18 | |
| 15 | 2021 | 18 | |
| 16 | 2012 | 18 | |
| 17 | 2020 | 16 | |
| 18 | 2021 | 14 | |
| 19 | 2019 | 13 | |
| 20 | 2021 | 13 |
About Jun He
Jun He is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Immunology and Agronomy and Crop Science, having authored 74 papers that have together received 1.3k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (15 papers), Influenza Virus Research Studies (12 papers), COVID-19 Clinical Research Studies (10 papers), SARS-CoV-2 detection and testing (8 papers), Animal Disease Management and Epidemiology (7 papers), Long-Term Effects of COVID-19 (5 papers), Biosensors and Analytical Detection (5 papers) and Viral Infections and Vectors (5 papers). The work is most often cited by research in Infectious Diseases (472 citations), Cancer Research (241 citations), Biophysics (61 citations), Electronic, Optical and Magnetic Materials (147 citations) and Molecular Biology (544 citations). Jun He has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Hailin Xu, Qichao Xie, Yongsheng Li, Chenglong Lin, Yusi Peng, Yong Yang, Xiaoying Luo, Zhengren Huang, Yong Gao and Yong Sun. Their work appears in journals such as Journal of Medical Virology, Frontiers in Immunology, Frontiers in Public Health, Microbial Pathogenesis and Virus 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.