Jinming Su

573 citations
34 papers · 441 · h-index 13

Impact in

  • Virology top 10%
    • HIV Research and Treatment
    • HIV/AIDS Research and Interventions
    • HIV/AIDS drug development and treatment
    • Tuberculosis Research and Epidemiology

Papers in

Jinming Su

31 papers receiving 429 citations

Peers

Jinming Su
Comparison fields: 5 of 85
  • Virology 48
  • Infectious Diseases 160
  • Modeling and Simulation 17
  • Epidemiology 66
  • Health Informatics 4
Replace Jingzhen Lai with:
Jingzhen Lai China
Wudi Wei China
Wenhua Kong China
Chloé Pasin Switzerland
Anna Victorovna Kuznetsova Russia
Saif Ullah Munshi Bangladesh
Amina Abdeddaim Italy
Chunjie Xu China
Juanita Mellet South Africa
Weihua Wu China
Jinming Su relative to Jingzhen Lai China Jingzhen Lai's profile →
Citations per field
00.5×2×3×4×4.5×
Jingzhen Lai · 1×
Citations per year

Countries citing papers authored by Jinming Su

Since Specialization
Citations

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

Fields of papers citing papers by Jinming Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201684
2 201441
3 201736
4 202231
5 202130
6 201625
7 201622
8 201718
9 201716
10 201716
11 201715
12 201715
13 202413
14 202212
15 20248
16 20248
17 20248
18 20197
19 20227
20 20235

About Jinming Su

Jinming Su is a scholar working on Virology, Infectious Diseases, Epidemiology, Hepatology and Molecular Biology, having authored 34 papers that have together received 441 indexed citations. Recurring topics across this work include HIV Research and Treatment (6 papers), HIV/AIDS Research and Interventions (5 papers), RNA modifications and cancer (3 papers), Sex work and related issues (2 papers), Forecasting Techniques and Applications (2 papers), Hepatitis C virus research (2 papers), RNA Research and Splicing (2 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Virology (48 citations), Infectious Diseases (160 citations), Modeling and Simulation (17 citations), Epidemiology (66 citations) and Health Informatics (4 citations). Jinming Su has collaborated with scholars based in China and United States. Frequent co-authors include Li Ye, Junjun Jiang, Hao Liang, Jiegang Huang, Bingyu Liang, Wudi Wei, Ning Zang, Yanyan Liao, Hui Chen and Jingzhen Lai. Their work appears in journals such as PLoS ONE, Scientific Reports, Frontiers in Immunology, Journal of Medical Virology and BMC Infectious Diseases.

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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