Pei Lin

44.7k citations
49 papers · 2.4k indexed · 2 hit papers · h-index 19

Pei Lin

48 papers receiving 2.3k citations

Hit Papers

Modul...15120032026201020182505007501000

Peers

Pei Lin
Comparison fields: 5 of 104
  • Immunology 1.2k
  • Pathology and Forensic Medicine 567
  • Genetics 237
  • Oncology 593
  • Cancer Research 308
Replace Nobuo Kanazawa with:
Nobuo Kanazawa Japan
Jonathan C. Poe United States
T. Yoshino Japan
Pierre Garrone France
Flavius Martin United States
Ryuichi Amakawa Japan
Vijay Bhoj United States
Odette de Bouteiller France
J. Alero Thomas United Kingdom
Elissa K. Deenick Australia
Pei Lin relative to Nobuo Kanazawa Japan Nobuo Kanazawa's profile →
Citations per field
00.5×5.7×
Nobuo Kanazawa · 1×
Citations per year

Countries citing papers authored by Pei Lin

Since Specialization
Citations

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

Fields of papers citing papers by Pei Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20257
2 20252
3 20250
4 20245
5 20248
6 202426
7
Modulating extracellular matrix stiffness: a strategic approach to boost cancer immunotherapybreakdown →
2024151
8 20235
9 20227
10 202012
11 20133
12 2012146
13 201176
14 201046
15 20107
16 200611
17 200633
18 2005113
19
Identification of Lps2 as a key transducer of MyD88-independent TIR signallingbreakdown →
20031009
20 2000114

About Pei Lin

Pei Lin is a scholar working on Genetics, Pathology and Forensic Medicine and Immunology, having authored 49 papers that have together received 2.4k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (18 papers), Chronic Lymphocytic Leukemia Research (12 papers), Viral-associated cancers and disorders (8 papers), Immunotherapy and Immune Responses (5 papers), CAR-T cell therapy research (5 papers), RNA Research and Splicing (5 papers), MicroRNA in disease regulation (4 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Immunology (1.2k citations), Pathology and Forensic Medicine (567 citations) and Genetics (237 citations). Pei Lin has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include L. Jeffrey Medeiros, Bruce Beutler, Philippe Georgel, Xin Du, Jiahuai Han, Koichi Tabeta, Sosathya Sovath, Kasper Hoebe, Karine Crozat and Navjiwan Mann. Their work appears in journals such as Modern Pathology, The American Journal of Surgical Pathology, Archives of Pathology & Laboratory Medicine, Theranostics and Human Pathology.

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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