Mi Li

717 citations
19 papers · 542 · h-index 10

Impact in

  • Immunology top 10%
    • interferon and immune responses
    • Immune Response and Inflammation
  • Virology top 10%

Papers in

    • interferon and immune responses 8
    • Immune Response and Inflammation 3
    • Immune Cell Function and Interaction 2
    • RNA Research and Splicing 4
    • RNA regulation and disease 3
    • Circular RNAs in diseases 1

Mi Li

18 papers receiving 539 citations

Peers

Mi Li
Comparison fields: 5 of 69
  • Immunology 268
  • Virology 36
  • Cancer Research 79
  • Molecular Biology 273
  • Infectious Diseases 58
Replace Jaime L. Wetzel with:
Jaime L. Wetzel United States
Roberto Orsatti Italy
Guomei Lin China
Joschka Willemsen Germany
Stefano Maglie Italy
Laura Papon France
Pamela Strauch United States
Songqing Tang China
Ekaterini Platanitis Austria
Qingcai Meng China
Mi Li relative to Jaime L. Wetzel United States Jaime L. Wetzel's profile →
Citations per field
00.5×1.5×2.3×
Jaime L. Wetzel · 1×
Citations per year

Countries citing papers authored by Mi Li

Since Specialization
Citations

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

Fields of papers citing papers by Mi Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2012100
2 202098
3 201462
4 201858
5 202252
6 201634
7 201733
8 201429
9 202425
10 202116
11 20168
12 20178
13 20256
14 20245
15 20254
16 20112
17 20251
18 20181
19
Game between Government and Enterprises on Social Pension Insurance
20040

About Mi Li

Mi Li is a scholar working on Immunology, Molecular Biology, Epidemiology, Plant Science and Cancer Research, having authored 19 papers that have together received 542 indexed citations. Recurring topics across this work include interferon and immune responses (8 papers), RNA Research and Splicing (4 papers), RNA regulation and disease (3 papers), Immune Response and Inflammation (3 papers), Herpesvirus Infections and Treatments (2 papers), Immune Cell Function and Interaction (2 papers), Neural and Behavioral Psychology Studies (1 paper) and Circular RNAs in diseases (1 paper). The work is most often cited by research in Immunology (268 citations), Virology (36 citations), Cancer Research (79 citations), Molecular Biology (273 citations) and Infectious Diseases (58 citations). Mi Li has collaborated with scholars based in China, United States and France. Frequent co-authors include Hong‐Bing Shu, Qian Zhou, Yu Zhang, Rui Chen, Bo Zhong, Cao‐Qi Lei, Shu Li, Tian Xia, Yan‐Yi Wang and Yun-Da Chen. Their work appears in journals such as Nature Communications, Proceedings of the National Academy of Sciences, FEBS Open Bio, Cell Discovery and International Journal of Nanomedicine.

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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