Longsi Ran

2.2k citations
16 papers · 959 · h-index 14

Impact in

  • Immunology top 5%
    • Immune Response and Inflammation
    • interferon and immune responses
    • Aquaculture disease management and microbiota
    • Immune Cell Function and Interaction
    • 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 2
    • Influenza Virus Research Studies 6
    • Respiratory viral infections research 2

Longsi Ran

16 papers receiving 930 citations

Peers

Longsi Ran
Comparison fields: 5 of 76
  • Immunology 556
  • Virology 65
  • Epidemiology 341
  • Infectious Diseases 163
  • Oncology 221
Replace Helen Cumming with:
Helen Cumming Australia
Tadahiro Suenaga Japan
Jodie S. Haring United States
Yi-Chieh Perng United States
Michael D. Eisenbraun United States
Hana Schmeisser United States
Jill A. Hendrzak United States
Sabrina Marciano Italy
Ashutosh Kumar United States
Katharina Eisenächer Germany
Longsi Ran relative to Helen Cumming Australia Helen Cumming's profile →
Citations per field
00.5×1.5×1.9×
Helen Cumming · 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

16 of 16 papers shown
#Work
1 2006223
2 2008155
3 201089
4 200482
5 199971
6 199758
7 201255
8 201046
9 201243
10 200032
11 201030
12 200823
13 200323
14 200716
15 201311
16 20142

About Longsi Ran

Longsi Ran is a scholar working on Immunology, Epidemiology, Oncology, Infectious Diseases and Animal Science and Zoology, having authored 16 papers that have together received 959 indexed citations. Recurring topics across this work include interferon and immune responses (6 papers), Influenza Virus Research Studies (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 (2 papers), Respiratory viral infections research (2 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Immunology (556 citations), Virology (65 citations), Epidemiology (341 citations), Infectious Diseases (163 citations) and Oncology (221 citations). Longsi Ran has collaborated with scholars based in Canada, United States and China. 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 Journal of Virology, Virology, The Journal of Immunology, European Journal of Immunology 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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