Jack T. Lin

2.6k citations
22 papers · 1.3k indexed · h-index 15
  • Immunology top 5%
    • Immunotherapy and Immune Responses 13
    • Immune Cell Function and Interaction 10
    • T-cell and B-cell Immunology 9
  • Oncology top 5%
    • CAR-T cell therapy research 3
  • Hepatology top 10%
    • Liver physiology and pathology 3
    • Liver Diseases and Immunity 3
    • Ubiquitin and proteasome pathways 3
    • Bioactive Compounds and Antitumor Agents 3

Jack T. Lin

22 papers receiving 1.3k citations

Peers

Jack T. Lin
Comparison fields: 5 of 86
  • Immunology 842
  • Oncology 557
  • Hepatology 75
  • Molecular Biology 348
  • Cancer Research 74
Replace Diane Lejeune with:
Diane Lejeune Belgium
Yoshiro Kashii Japan
Ravshan Ataullakhanov Russia
Jessica Fioravanti Spain
Barbara Marinari Italy
Serguei V. Kotenko United States
Yiu‐Loon Chui Hong Kong
AM Gianni Italy
Tetsuro Sasada Japan
Janet M.D. Plate United States
Jack T. Lin relative to Diane Lejeune Belgium Diane Lejeune's profile →
Citations per field
00.5×3.1×
Diane Lejeune · 1×
Citations per year

Countries citing papers authored by Jack T. Lin

Since Specialization
Citations

This map shows the geographic impact of Jack T. 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 Jack T. Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack T. Lin more than expected).

Fields of papers citing papers by Jack T. Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20229
2 201798
3 201219
4 2012415
5 201113
6 201054
7 200937
8 200937
9 200849
10 200762
11 200517
12 2005143
13 200483
14 200334
15 200337
16 200312
17 200175
18 19793
19 19783
20 19786

About Jack T. Lin

Jack T. Lin is a scholar working on Toxicology, Immunology, Hepatology, Cancer Research and Biotechnology, having authored 22 papers that have together received 1.3k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (13 papers), Immune Cell Function and Interaction (10 papers), T-cell and B-cell Immunology (9 papers), Bioactive Compounds and Antitumor Agents (3 papers), CAR-T cell therapy research (3 papers), Ubiquitin and proteasome pathways (3 papers), Liver physiology and pathology (3 papers) and Liver Diseases and Immunity (3 papers). The work is most often cited by research in Immunology (842 citations), Oncology (557 citations), Hepatology (75 citations), Molecular Biology (348 citations) and Cancer Research (74 citations). Jack T. Lin has collaborated with scholars based in United States, Switzerland and Norway. Frequent co-authors include James D. Gorham, Leon Su, C. Garrison Fathman, Luxi Xia, C. Garrison Fathman, Ignacio Moraga, Aron M. Levin, Gregory R. Bowman, Miro E. Raeber and Aaron M. Ring. Their work appears in journals such as The Journal of Immunology, The Journal of Antibiotics, Blood, Journal of Biological Chemistry and Frontiers in 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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