John Lin

4.2k citations
74 papers · 2.1k · h-index 26

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Retinal Diseases and Treatments

Papers in

    • Immunotherapy and Immune Responses 6
    • Immune Cell Function and Interaction 5
    • Viral-associated cancers and disorders 5
    • CAR-T cell therapy research 5

John Lin

71 papers receiving 2.0k citations

Peers

John Lin
Comparison fields: 5 of 106
  • Immunology 565
  • Ophthalmology 191
  • Virology 77
  • Biological Psychiatry 38
  • Oncology 380
Replace B. Storch–Hagenlocher with:
B. Storch–Hagenlocher Germany
Frank C. Dorsey United States
Edwin F. de Zoeten United States
Victorine Douin‐Echinard France
Nicolas J. Goulding United Kingdom
Rithwik Ramachandran Canada
J W Mier United States
Catherine Bruyns Belgium
Mariana Linker‐Israeli United States
Mario Galgani Italy
John Lin relative to B. Storch–Hagenlocher Germany B. Storch–Hagenlocher's profile →
Citations per field
00.5×10×12.5×
B. Storch–Hagenlocher · 1×
Citations per year

Countries citing papers authored by John Lin

Since Specialization
Citations

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

Fields of papers citing papers by John Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014221
2 2011177
3 2012113
4 201194
5 202094
6 201191
7 200787
8 201186
9 200875
10 202070
11 200767
12 201652
13 202051
14 202045
15 200844
16 201941
17 201939
18 202139
19 202038
20 202233

About John Lin

John Lin is a scholar working on Immunology, Oncology, Molecular Biology, Epidemiology and Physiology, having authored 74 papers that have together received 2.1k indexed citations. Recurring topics across this work include HIV Research and Treatment (8 papers), Gut microbiota and health (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Immunotherapy and Immune Responses (6 papers), HIV-related health complications and treatments (6 papers), Viral-associated cancers and disorders (5 papers), Immune Cell Function and Interaction (5 papers) and CAR-T cell therapy research (5 papers). The work is most often cited by research in Immunology (565 citations), Ophthalmology (191 citations), Virology (77 citations), Biological Psychiatry (38 citations) and Oncology (380 citations). John Lin has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Jean‐Pierre Routy, Stéphane Isnard, Brandon Fombuena, Jing Ouyang, Xiaorong Peng, Jeanette Dilley, Li‐Fen Lee, Kathryn Logronio, Guang Huan Tu and Bertrand Routy. Their work appears in journals such as Frontiers in Immunology, Cancer Research, Blood, Open Forum Infectious Diseases and Viruses.

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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