Jin Sun

517 citations
26 papers · 397 · h-index 13

Impact in

    • Viral Infections and Vectors
    • HIV/AIDS Research and Interventions
    • Viral Infections and Outbreaks Research
  • Virology top 10%
    • HIV Research and Treatment

Papers in

Jin Sun

26 papers receiving 392 citations

Peers

Jin Sun
Comparison fields: 5 of 56
  • Infectious Diseases 196
  • Virology 39
  • Public Health, Environmental and Occupational Health 163
  • Microbiology 27
  • Hepatology 15
Replace Johanna Wapling with:
Johanna Wapling Australia
Yun Shan Goh Singapore
Melissa C. Kapulu United Kingdom
José Ernesto Ramírez–González Mexico
Zarifah Reed Switzerland
Chuan Ju China
Jason Martin United States
Daniel Ewing United States
Mee Kian Poh Singapore
Emmanuel Feroldi France
Jin Sun relative to Johanna Wapling Australia Johanna Wapling's profile →
Citations per field
00.5×1.5×
Johanna Wapling · 1×
Citations per year

Countries citing papers authored by Jin Sun

Since Specialization
Citations

This map shows the geographic impact of Jin Sun'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 Jin Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Sun more than expected).

Fields of papers citing papers by Jin Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin Sun. 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 Jin Sun. The network helps show where Jin Sun may publish in the future.

Co-authors

The 25 scholars most cited alongside Jin Sun, 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 Jin Sun Line = papers co-authored together Jin Sun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202067
2 201731
3 201430
4 201129
5 202225
6 201723
7 201021
8 201820
9 201218
10 201716
11 201114
12 201914
13 201712
14 201211
15 202010
16 20159
17 20129
18 20208
19 20137
20 20206

About Jin Sun

Jin Sun is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Molecular Biology, Immunology and Virology, having authored 26 papers that have together received 397 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (12 papers), Viral Infections and Vectors (9 papers), Malaria Research and Control (6 papers), HIV/AIDS Research and Interventions (4 papers), interferon and immune responses (3 papers), HIV Research and Treatment (3 papers), Plant Gene Expression Analysis (1 paper) and Virology and Viral Diseases (1 paper). The work is most often cited by research in Infectious Diseases (196 citations), Virology (39 citations), Public Health, Environmental and Occupational Health (163 citations), Microbiology (27 citations) and Hepatology (15 citations). Jin Sun has collaborated with scholars based in China, United States and Malawi. Frequent co-authors include Xia Jin, Min Li, Min Li, Taha E. Taha, Johnstone Kumwenda, Zhihua Liu, Yongxin Yu, Vincent Deubel, Susan H. Eshleman and Yinan Wang. Their work appears in journals such as AIDS, Vaccine, PLoS ONE, Frontiers in Microbiology and Plant Molecular Biology Reporter.

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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