Mei-Ling Liou

817 total citations
11 papers, 679 citations indexed

About

Mei-Ling Liou is a scholar working on Immunology, Oncology and Cancer Research. According to data from OpenAlex, Mei-Ling Liou has authored 11 papers receiving a total of 679 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 5 papers in Oncology and 5 papers in Cancer Research. Recurrent topics in Mei-Ling Liou's work include NF-κB Signaling Pathways (5 papers), CAR-T cell therapy research (4 papers) and Immunotherapy and Immune Responses (4 papers). Mei-Ling Liou is often cited by papers focused on NF-κB Signaling Pathways (5 papers), CAR-T cell therapy research (4 papers) and Immunotherapy and Immune Responses (4 papers). Mei-Ling Liou collaborates with scholars based in United States and Taiwan. Mei-Ling Liou's co-authors include Hsiou‐Chi Liou, Zhuang Jin, Joseph R. Tumang, Sofija Andjelić, Gokul Kandala, Kendall A. Smith, Yeong Jin Choi, Ming‐Zong Lai, Richard R. Hardy and Alexander M. Owyang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Immunology.

In The Last Decade

Mei-Ling Liou

11 papers receiving 670 citations

Peers

Mei-Ling Liou
Comparison fields: 5 of 62
  • Immunology 470
  • Cancer Research 309
  • Molecular Biology 229
  • Oncology 166
  • Pathology and Forensic Medicine 53
Replace Kwiyeom Yoon with:
Kwiyeom Yoon South Korea
Andreas Wicovsky Germany
Haili Cui United States
Chuanhe Yang United States
Gokul Kandala United States
Astrid Ruefli-Brasse United States
Kartiek Kanduri Finland
Didier Bordereaux France
Angela M. Gocher United States
Vladimir Poltoratsky United States
Kwiyeom Yoon South Korea View profile →
Citations per field, relative to Mei-Ling Liou
Mei-Ling Liou · 1×
Citations per year, relative to Mei-Ling Liou
Mei-Ling Liou · 1×

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-authorship network of co-authors of Mei-Ling Liou

This figure shows the co-authorship network connecting the top 25 collaborators of Mei-Ling Liou. A scholar is included among the top collaborators of Mei-Ling Liou based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mei-Ling Liou. Mei-Ling Liou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
# Work Indexed citations
1 1
2 2
3 81
4 10
5 38
6 161
7 29
8 112
9 160
10 54
11 31

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026