Longsi Ran

2.2k citations
19 papers · 928 · h-index 14

Impact in

  • Immunology top 5%
    • Immune Response and Inflammation
    • interferon and immune responses
    • Immune Cell Function and Interaction
    • Aquaculture disease management and microbiota
    • Immunotherapy and Immune Responses
  • Virology top 10%

Papers in

    • interferon and immune responses 6
    • Immune Response and Inflammation 6
    • T-cell and B-cell Immunology 3
    • Immune Cell Function and Interaction 3
    • Influenza Virus Research Studies 7
    • Respiratory viral infections research 3

Longsi Ran

18 papers receiving 906 citations

Peers

Longsi Ran
Comparison fields: 5 of 81
  • Immunology 586
  • Virology 65
  • Epidemiology 354
  • Infectious Diseases 168
  • Oncology 229
Replace Lene Malmgaard with:
Lene Malmgaard Denmark
Tadahiro Suenaga Japan
Jodie S. Haring United States
Michael D. Eisenbraun United States
Sabrina Marciano Italy
Hana Schmeisser United States
Ashutosh Kumar United States
Amy M. Beebe United States
Maria Kalamvoki United States
Motohide Ichino Japan
Longsi Ran relative to Lene Malmgaard Denmark Lene Malmgaard's profile →
Citations per field
00.5×1.5×
Lene Malmgaard · 1×
Citations per year

Countries citing papers authored by Longsi Ran

Since Specialization
Citations

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

Fields of papers citing papers by Longsi Ran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2006210
2 2008152
3 201088
4 200480
5 199964
6 199757
7 201254
8 201044
9 201240
10 200032
11 201029
12 200822
13 200322
14 200715
15 201311
16 20245
17 20142
18 20241
19 20250

About Longsi Ran

Longsi Ran is a scholar working on Immunology, Epidemiology, Oncology, Infectious Diseases and Animal Science and Zoology, having authored 19 papers that have together received 928 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (7 papers), interferon and immune responses (6 papers), Immune Response and Inflammation (6 papers), Chemokine receptors and signaling (5 papers), Animal Virus Infections Studies (3 papers), T-cell and B-cell Immunology (3 papers), Respiratory viral infections research (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Immunology (586 citations), Virology (65 citations), Epidemiology (354 citations), Infectious Diseases (168 citations) and Oncology (229 citations). Longsi Ran has collaborated with scholars based in Canada, China and United States. Frequent co-authors include David J. Kelvin, Luoling Xu, Mark E. DeVries, Alyson A. Kelvin, John F. Robinson, Mark J. Cameron, Thomas Rowe, Fang Yuan, Cheryl Cameron and Ali Danesh. Their work appears in journals such as Virology, Journal of Virology, The Journal of Immunology, Frontiers in Pediatrics and Journal of Leukocyte Biology.

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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