Ren-Di Jiang

31.7k citations
23 papers · 713 · h-index 12

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Viral Infections and Vectors
    • Viral Infections and Outbreaks Research
    • Viral gastroenteritis research and epidemiology
    • SARS-CoV-2 detection and testing
  • Neurology top 10%
    • Long-Term Effects of COVID-19

Papers in

    • SARS-CoV-2 and COVID-19 Research 12
    • COVID-19 Clinical Research Studies 8
    • Viral gastroenteritis research and epidemiology 8
    • Viral Infections and Outbreaks Research 6
    • Viral Infections and Vectors 6
    • Animal Virus Infections Studies 6

Ren-Di Jiang

22 papers receiving 703 citations

Peers

Ren-Di Jiang
Comparison fields: 5 of 87
  • Infectious Diseases 589
  • Neurology 135
  • Animal Science and Zoology 89
  • Modeling and Simulation 36
  • Virology 25
Replace Lizzette Pérez-Pérez with:
Lizzette Pérez-Pérez United States
Jonathan E. Schulz United States
Emily Happy Miller United States
Julia R. Port United States
Martial Jaume France
Keiya Uriu Japan
Ruthiran Kugathasan United Kingdom
Brigitta M. Laksono Netherlands
Myndi G. Holbrook United States
Anahita Fathi Germany
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Citations per field
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Citations per year

Countries citing papers authored by Ren-Di Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Ren-Di Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ren-Di Jiang. 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 Ren-Di Jiang. The network helps show where Ren-Di Jiang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020347
2 2018101
3 202053
4 201747
5 201820
6 202116
7 201515
8 201915
9 202113
10 202112
11 202311
12 202211
13 202211
14 202011
15 202010
16 20175
17 20225
18 20234
19 20243
20 20251

About Ren-Di Jiang

Ren-Di Jiang is a scholar working on Infectious Diseases, Animal Science and Zoology, Neurology, Epidemiology and Public Health, Environmental and Occupational Health, having authored 23 papers that have together received 713 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (12 papers), COVID-19 Clinical Research Studies (8 papers), Viral gastroenteritis research and epidemiology (8 papers), Animal Virus Infections Studies (6 papers), Viral Infections and Outbreaks Research (6 papers), Viral Infections and Vectors (6 papers), Long-Term Effects of COVID-19 (2 papers) and Zoonotic diseases and public health (2 papers). The work is most often cited by research in Infectious Diseases (589 citations), Neurology (135 citations), Animal Science and Zoology (89 citations), Modeling and Simulation (36 citations) and Virology (25 citations). Ren-Di Jiang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Zheng‐Li Shi, Xing‐Lou Yang, Bei Li, Peng Zhou, Qi Wang, Xi Wang, Ying Chen, Yan Zhu, Ralph S. Baric and Juan Min. Their work appears in journals such as Journal of Virology, Emerging infectious diseases, Emerging Microbes & Infections, Viruses and Nature Communications.

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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