J. Li

2.5k citations
44 papers · 1.9k · h-index 24

Impact in

  • Virology top 5%
    • HIV Research and Treatment
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation

Papers in

    • Immune Cell Function and Interaction 10
    • Immune Response and Inflammation 8
    • interferon and immune responses 6

J. Li

42 papers receiving 1.9k citations

Peers

J. Li
Comparison fields: 5 of 114
  • Virology 137
  • Immunology 339
  • Cancer Research 235
  • Genetics 142
  • Molecular Biology 888
Replace Vittorio Manzari with:
Vittorio Manzari Italy
Pedro Majano Spain
Mary Ann Suico Japan
Soumya Panigrahi United States
Juan Liu China
Lili Sun China
Pey‐Jium Chang Taiwan
Ernst–Otto Riecken Germany
Hisashi Narahara Japan
J. Li relative to Vittorio Manzari Italy Vittorio Manzari's profile →
Citations per field
00.5×5.4×
Vittorio Manzari · 1×
Citations per year

Countries citing papers authored by J. Li

Since Specialization
Citations

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

Fields of papers citing papers by J. Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996294
2 1996199
3 2007142
4 199699
5 200895
6 201092
7 200276
8 201565
9 201064
10 201060
11 201353
12 200553
13 200549
14 200846
15 200943
16 200941
17 201038
18 201038
19 200936
20 200730

About J. Li

J. Li is a scholar working on Immunology, Molecular Biology, Oncology, Epidemiology and Infectious Diseases, having authored 44 papers that have together received 1.9k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (10 papers), Immune Response and Inflammation (8 papers), HIV Research and Treatment (7 papers), interferon and immune responses (6 papers), Cytokine Signaling Pathways and Interactions (4 papers), Cell Adhesion Molecules Research (4 papers), NF-κB Signaling Pathways (3 papers) and Tuberculosis Research and Epidemiology (3 papers). The work is most often cited by research in Virology (137 citations), Immunology (339 citations), Cancer Research (235 citations), Genetics (142 citations) and Molecular Biology (888 citations). J. Li has collaborated with scholars based in Hong Kong, United States and China. Frequent co-authors include Michael Simons, Allan S. Y. Lau, Gcf Chan, Jessica Grossman, Lawrence F. Brown, Mark G. Hibberd, James P. Morgan, John J. López, Frank W. Sellke and Howard Chi Ho Yim. Their work appears in journals such as Journal of Leukocyte Biology, AIDS, Cytokine, American Journal of Physiology-Heart and Circulatory Physiology and Immunology.

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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