Jun He

3.1k citations
77 papers · 1.3k · h-index 17

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • SARS-CoV-2 detection and testing
    • COVID-19 Clinical Research Studies
    • 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 6
    • Viral gastroenteritis research and epidemiology 5
    • Influenza Virus Research Studies 14

Jun He

72 papers receiving 1.3k citations

Peers

Jun He
Comparison fields: 5 of 115
  • Infectious Diseases 431
  • Cancer Research 187
  • Biophysics 63
  • Electronic, Optical and Magnetic Materials 148
  • Molecular Biology 530
Replace Susanne Weber with:
Susanne Weber Germany
Samuel Constant Switzerland
Han Shen China
Asmaa Althani Qatar
Weihong Zhang China
Martin Braun Germany
Wei Tan China
Shuang Li China
Sibyl H. Munson United States
Weixian Chen China
Jun He relative to Susanne Weber Germany Susanne Weber's profile →
Citations per field
00.5×4.6×
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 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017177
2 2021163
3 2021106
4 202082
5 202175
6 202169
7 202061
8 202252
9 202050
10 202137
11 202136
12 202223
13 202122
14 202119
15 200918
16 201218
17 202016
18 202115
19 201914
20 202113

About Jun He

Jun He is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Agronomy and Crop Science and Neurology, having authored 77 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 (14 papers), COVID-19 Clinical Research Studies (7 papers), Animal Disease Management and Epidemiology (6 papers), SARS-CoV-2 detection and testing (6 papers), Viral gastroenteritis research and epidemiology (5 papers), Long-Term Effects of COVID-19 (5 papers) and Biosensors and Analytical Detection (4 papers). The work is most often cited by research in Infectious Diseases (431 citations), Cancer Research (187 citations), Biophysics (63 citations), Electronic, Optical and Magnetic Materials (148 citations) and Molecular Biology (530 citations). Jun He has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Yongsheng Li, Qichao Xie, Hailin Xu, Yong Yang, Yusi Peng, Chenglong Lin, Zhengren Huang, Xiaoying Luo, Yong Gao and Yong Sun. Their work appears in journals such as Journal of Medical Virology, Frontiers in Immunology, Microbial Pathogenesis, Frontiers in Public Health and Journal of environmental chemical engineering.

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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