Lin Tai

2.6k citations
27 papers · 1.4k indexed · h-index 13

Impact in

  • Immunology top 10%
    • Phagocytosis and Immune Regulation
    • Immune Cell Function and Interaction
    • Cell death mechanisms and regulation
    • RNA Interference and Gene Delivery
    • CRISPR and Genetic Engineering
    • Ubiquitin and proteasome pathways

Papers in

Lin Tai

25 papers receiving 1.4k citations

Peers

Lin Tai
Comparison fields: 5 of 87
  • Immunology 418
  • Molecular Biology 1.1k
  • Oncology 428
  • Cancer Research 174
  • Business and International Management 20
Replace Abba Malina with:
Abba Malina Canada
Haihui Lu United States
Wubing Zhang China
Sandra Cristea United States
Robert T. Manguso United States
Colin E.J. Pritchard Netherlands
Flavian D. Brown United States
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Hirokazu Ohata Japan
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Lin Tai relative to Abba Malina Canada Abba Malina's profile →
Citations per field
00.5×1.5×2.0×
Abba Malina · 1×
Citations per year

Countries citing papers authored by Lin Tai

Since Specialization
Citations

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

Fields of papers citing papers by Lin Tai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009300
2 2015272
3 2007159
4 2014126
5 2009126
6 2018119
7 201289
8 201866
9 201751
10 201326
11 202021
12 201621
13 202016
14 198511
15 201910
16 201610
17 20077
18 20235
19 20223
20 20193

About Lin Tai

Lin Tai is a scholar working on Oncology, Pathology and Forensic Medicine, Molecular Biology, Immunology and Genetics, having authored 27 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (8 papers), Cancer-related Molecular Pathways (7 papers), CAR-T cell therapy research (6 papers), Immune Cell Function and Interaction (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Lymphoma Diagnosis and Treatment (3 papers), RNA modifications and cancer (3 papers) and Cancer Mechanisms and Therapy (3 papers). The work is most often cited by research in Immunology (418 citations), Molecular Biology (1.1k citations), Oncology (428 citations), Cancer Research (174 citations) and Business and International Management (20 citations). Lin Tai has collaborated with scholars based in Australia, United Kingdom and China. Frequent co-authors include Andreas Strasser, Marco J. Herold, Gemma L. Kelly, Margs S. Brennan, Philippe Bouillet, Andrew J. Kueh, Brandon J. Aubrey, Liz Milla, Liam O’Connor and Stephen Wilcox. Their work appears in journals such as Cell Death and Differentiation, Blood, Cell, EMBO Reports and Progress in Natural Science Materials International.

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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