Li Pan

1.3k citations
22 papers · 600 indexed · h-index 14

Impact in

  • Virology top 5%
    • HIV Research and Treatment
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Immune Response and Inflammation
    • interferon and immune responses

Papers in

    • HIV Research and Treatment 8
    • Immune Cell Function and Interaction 10
    • T-cell and B-cell Immunology 4
    • Immunotherapy and Immune Responses 4

Li Pan

21 papers receiving 588 citations

Peers

Li Pan
Comparison fields: 5 of 75
  • Virology 121
  • Immunology 352
  • Infectious Diseases 143
  • Emergency Medicine 46
  • Epidemiology 125
Replace Michael K. P. Liu with:
Michael K. P. Liu United Kingdom
Alberto C. Guardo Spain
Pedro A. Lamothe United States
Hualin Li United States
Pilar Mendoza United States
Manoj Kumar Tripathy France
Kerry J. Lavender United States
Victor Joo Switzerland
Raymond Alvarez United States
Morgan Chateau United States
Li Pan relative to Michael K. P. Liu United Kingdom Michael K. P. Liu's profile →
Citations per field
00.5×6.4×
Michael K. P. Liu · 1×
Citations per year

Countries citing papers authored by Li Pan

Since Specialization
Citations

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

Fields of papers citing papers by Li Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011222
2 201838
3 201738
4 201937
5 202032
6 201730
7 202129
8 201928
9 201927
10 202122
11 201420
12 201916
13 202115
14 201814
15 201812
16 20217
17 20244
18 20103
19 20223
20 20252

About Li Pan

Li Pan is a scholar working on Virology, Immunology, Applied Microbiology and Biotechnology, Emergency Medicine and Epidemiology, having authored 22 papers that have together received 600 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (10 papers), HIV Research and Treatment (8 papers), Influenza Virus Research Studies (4 papers), T-cell and B-cell Immunology (4 papers), Immunotherapy and Immune Responses (4 papers), CRISPR and Genetic Engineering (3 papers), HIV/AIDS Research and Interventions (2 papers) and Cytomegalovirus and herpesvirus research (2 papers). The work is most often cited by research in Virology (121 citations), Immunology (352 citations), Infectious Diseases (143 citations), Emergency Medicine (46 citations) and Epidemiology (125 citations). Li Pan has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Savita Pahwa, Suresh Pallikkuth, Stefano Rinaldi, Lesley R. de Armas, François Lefebvre, Rafick‐Pierre Sékaly, Mark J. Cameron, Jean-Philippe Goulet, Marina Caskey and Elias K. Haddad. Their work appears in journals such as Aging, AIDS, Scientific Reports, Current Pollution Reports and Vaccine.

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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