Wai Lin

1.0k citations
19 papers · 759 · h-index 13

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • interferon and immune responses
    • Immune Response and Inflammation
    • Immunotherapy and Immune Responses
    • NF-κB Signaling Pathways

Papers in

    • Immune Cell Function and Interaction 8
    • T-cell and B-cell Immunology 6
    • interferon and immune responses 4
    • Immunotherapy and Immune Responses 2
    • NF-κB Signaling Pathways 8

Wai Lin

18 papers receiving 753 citations

Peers

Wai Lin
Comparison fields: 5 of 70
  • Immunology 441
  • Cancer Research 204
  • Oncology 202
  • Molecular Biology 215
  • Genetics 27
Replace Natalia Ziętara with:
Natalia Ziętara Germany
Maryaline Coffre United States
Stefano Caserta United Kingdom
Travis Shiba United States
Stefano Maglie Italy
Yayi Gao China
Dianne Emslie Australia
Marion Massé France
Diana Llópiz Spain
Likun Du Sweden
Wai Lin relative to Natalia Ziętara Germany Natalia Ziętara's profile →
Citations per field
00.5×1.5×1.9×
Natalia Ziętara · 1×
Citations per year

Countries citing papers authored by Wai Lin

Since Specialization
Citations

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

Fields of papers citing papers by Wai Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2016326
2 201078
3 201451
4 201641
5 201640
6 201538
7 201334
8 201530
9 201329
10 201418
11 200816
12 201916
13 202014
14 202010
15 20199
16 20197
17 20151
18 20181
19 20250

About Wai Lin

Wai Lin is a scholar working on Immunology, Cancer Research, Oncology, Molecular Biology and Pathology and Forensic Medicine, having authored 19 papers that have together received 759 indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (8 papers), Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (6 papers), interferon and immune responses (4 papers), Peptidase Inhibition and Analysis (3 papers), Cancer Mechanisms and Therapy (2 papers), Ubiquitin and proteasome pathways (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Immunology (441 citations), Cancer Research (204 citations), Oncology (202 citations), Molecular Biology (215 citations) and Genetics (27 citations). Wai Lin has collaborated with scholars based in United States, Vietnam and Russia. Frequent co-authors include Carl F. Ware, John R. Šedý, Lindsay K. Ward-Kavanagh, Gail A. Bishop, Laura L. Stunz, Zuoan Yi, Joanne M. Hildebrand, Nurbek Mambetsariev, Bruce S. Hostager and Susan L. Slager. Their work appears in journals such as Frontiers in Immunology, The Journal of Immunology, Scientific Reports, The Journal of Experimental Medicine and Journal of Virology.

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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