Mei-Ling Liou

821 citations
11 papers · 681 · h-index 9

Impact in

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

Papers in

    • Immunotherapy and Immune Responses 4
    • Immune Cell Function and Interaction 4
    • Immune Response and Inflammation 2
    • CAR-T cell therapy research 4

Mei-Ling Liou

11 papers receiving 672 citations

Peers

Mei-Ling Liou
Comparison fields: 5 of 59
  • Immunology 455
  • Cancer Research 297
  • Oncology 155
  • Molecular Biology 221
  • Pathology and Forensic Medicine 46
Replace E. Gulbins with:
E. Gulbins United States
Akemi Matsushima Japan
Gokul Kandala United States
Liqin Zheng United States
Minghao Zhong United States
Jesse E. Jun United States
Haili Cui United States
Andreas Wicovsky Germany
Bu Yin United States
Masaharu Hatakeyama Japan
Mei-Ling Liou relative to E. Gulbins United States E. Gulbins's profile →
Citations per field
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E. Gulbins · 1×
Citations per year

Countries citing papers authored by Mei-Ling Liou

Since Specialization
Citations

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

Fields of papers citing papers by Mei-Ling Liou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mei-Ling Liou. 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 Mei-Ling Liou. The network helps show where Mei-Ling Liou may publish in the future.

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 1999162
2 1996160
3 1998112
4 201881
5 199354
6 200839
7 199231
8 199929
9 200910
10 20222
11 20241

About Mei-Ling Liou

Mei-Ling Liou is a scholar working on Immunology, Oncology, Cancer Research, Molecular Biology and Organic Chemistry, having authored 11 papers that have together received 681 indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (5 papers), Immunotherapy and Immune Responses (4 papers), Immune Cell Function and Interaction (4 papers), CAR-T cell therapy research (4 papers), Cell death mechanisms and regulation (3 papers), Immune Response and Inflammation (2 papers), Chronic Myeloid Leukemia Treatments (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Immunology (455 citations), Cancer Research (297 citations), Oncology (155 citations), Molecular Biology (221 citations) and Pathology and Forensic Medicine (46 citations). Mei-Ling Liou has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Hsiou‐Chi Liou, Joseph R. Tumang, Sofija Andjelić, Zhuang Jin, Gokul Kandala, Yeong Jin Choi, Kendall A. Smith, Ming‐Zong Lai, Richard R. Hardy and Alexander M. Owyang. Their work appears in journals such as Frontiers in Immunology, The Journal of Immunology, Cell Research, Journal of Biological Chemistry and International 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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