Yein‐Gei Lai

439 citations
18 papers · 367 · h-index 11

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • IL-33, ST2, and ILC Pathways
    • Immune Response and Inflammation
    • CAR-T cell therapy research

Papers in

    • Immune Cell Function and Interaction 12
    • T-cell and B-cell Immunology 9
    • Immune Response and Inflammation 3
    • Ubiquitin and proteasome pathways 1
    • Genomics, phytochemicals, and oxidative stress 1

Yein‐Gei Lai

17 papers receiving 366 citations

Peers

Yein‐Gei Lai
Comparison fields: 5 of 65
  • Immunology 248
  • Oncology 50
  • Neurology 15
  • Epidemiology 49
  • Gastroenterology 7
Replace Atsuko Asao with:
Atsuko Asao Japan
Marcela Hernández-Ruíz United States
Deepika Balakrishna United States
Oliver Schanz Germany
A. R. Mariani Italy
Natalie Amirian United States
Yvonne Burmeister Germany
Patricia Lovelace United States
Eva Singer Germany
Yein‐Gei Lai relative to Atsuko Asao Japan Atsuko Asao's profile →
Citations per field
00.5×3.5×
Atsuko Asao · 1×
Citations per year

Countries citing papers authored by Yein‐Gei Lai

Since Specialization
Citations

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

Fields of papers citing papers by Yein‐Gei Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yein‐Gei Lai. 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 Yein‐Gei Lai. The network helps show where Yein‐Gei Lai may publish in the future.

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 200281
2 200838
3 199938
4 199134
5 201433
6 201324
7 201324
8 199120
9 201118
10 199214
11 200014
12 200910
13 20179
14 20147
15 20251
16 20251
17 19991
18 19990

About Yein‐Gei Lai

Yein‐Gei Lai is a scholar working on Immunology, Molecular Biology, Epidemiology, Pathology and Forensic Medicine and Oncology, having authored 18 papers that have together received 367 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (12 papers), T-cell and B-cell Immunology (9 papers), Immune Response and Inflammation (3 papers), Cytomegalovirus and herpesvirus research (2 papers), Nitric Oxide and Endothelin Effects (1 paper), Ubiquitin and proteasome pathways (1 paper), Microtubule and mitosis dynamics (1 paper) and Genomics, phytochemicals, and oxidative stress (1 paper). The work is most often cited by research in Immunology (248 citations), Oncology (50 citations), Neurology (15 citations), Epidemiology (49 citations) and Gastroenterology (7 citations). Yein‐Gei Lai has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Nan‐Shih Liao, Ching‐Yen Tsai, Shiaw‐Der Yang, Ying‐Hue Lee, Jau‐Song Yu, Ming‐Han Tsai, Valentina Gelfanova, Gilbert Aaron Lee, Vasily M. Gelfanov and Hsin‐Fang Yang‐Yen. Their work appears in journals such as The Journal of Immunology, Journal of Biomedical Science, eLife, Cytokine and Cancers.

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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