Jun He

3.1k citations
75 papers · 1.4k · h-index 17

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 detection and testing
    • MicroRNA in disease regulation

Papers in

    • SARS-CoV-2 and COVID-19 Research 15
    • COVID-19 Clinical Research Studies 7
    • SARS-CoV-2 detection and testing 7
    • Viral gastroenteritis research and epidemiology 5
    • Viral Infections and Vectors 4
    • Influenza Virus Research Studies 14

Jun He

71 papers receiving 1.4k citations

Peers

Jun He
Comparison fields: 5 of 116
  • Infectious Diseases 466
  • Cancer Research 191
  • Biophysics 65
  • Electronic, Optical and Magnetic Materials 153
  • Molecular Biology 551
Replace Susanne Weber with:
Susanne Weber Germany
Samuel Constant Switzerland
Jie Sheng China
MARTIN U. BRAUN Germany
Weihong Zhang China
Wei Tan China
Jiaxing Zhang China
Yubao Cui China
Mirjana D. Pavlović United States
Riéko Suzuki Japan
Jun He relative to Susanne Weber Germany Susanne Weber's profile →
Citations per field
00.5×2×3×4×4.7×
Susanne Weber · 1×
Citations per year

Countries citing papers authored by Jun He

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jun He Line = papers co-authored together Jun He links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017182
2 2021169
3 2021111
4 202086
5 202177
6 202170
7 202063
8 202257
9 202051
10 202137
11 202136
12 202031
13 202123
14 202222
15 202119
16 201219
17 200918
18 202017
19 202116
20 201914

About Jun He

Jun He is a scholar working on Infectious Diseases, Epidemiology, Microbiology, Agronomy and Crop Science and Rheumatology, having authored 75 papers that have together received 1.4k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (15 papers), Influenza Virus Research Studies (14 papers), COVID-19 Clinical Research Studies (7 papers), SARS-CoV-2 detection and testing (7 papers), Animal Disease Management and Epidemiology (6 papers), Viral gastroenteritis research and epidemiology (5 papers), Viral Infections and Vectors (4 papers) and Biosensors and Analytical Detection (4 papers). The work is most often cited by research in Infectious Diseases (466 citations), Cancer Research (191 citations), Biophysics (65 citations), Electronic, Optical and Magnetic Materials (153 citations) and Molecular Biology (551 citations). Jun He has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Yusi Peng, Yong Ping Yang, Hailin Xu, Yongsheng Li, Chenglong Lin, Qichao Xie, Zhengren Huang, Xiaoying Luo, Yong Gao and Yong Chang Sun. Their work appears in journals such as Journal of Medical Virology, Frontiers in Immunology, Microbial Pathogenesis, Frontiers in Public Health and Journal of Ethnopharmacology.

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.

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