Mei-Ling Liou
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- Immune Response and Inflammation
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Cancer Research top 5%
- NF-κB Signaling Pathways
Papers in
-
- Immunotherapy and Immune Responses 4
- Immune Cell Function and Interaction 4
- Immune Response and Inflammation 2
- Oncology 5
- CAR-T cell therapy research 4
- Co-authors
- Hsiou‐Chi Liou (6 shared papers)Joseph R. Tumang (2 shared papers)Zhuang Jin (2 shared papers)Sofija Andjelić (2 shared papers)Kendall A. Smith (1 shared paper)Gokul Kandala (1 shared paper)Yeong Jin Choi (1 shared paper)Ming‐Zong Lai (2 shared papers)
- Journals
- The Journal of Immunology (2 papers)Frontiers in Immunology (2 papers)Cell Research (1 paper)Journal of Biological Chemistry (1 paper)Frontiers in Medicine (1 paper)
- Partner nations
- United StatesTaiwan
In The Last Decade
Mei-Ling Liou
11 papers receiving 670 citations
Peers
Comparison fields: 5 of 62
- Immunology 470
- Cancer Research 309
- Oncology 166
- Molecular Biology 229
- Pathology and Forensic Medicine 53
Countries citing papers authored by Mei-Ling Liou
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 161 | |
| 2 | 1996 | 160 | |
| 3 | 1998 | 112 | |
| 4 | 2018 | 81 | |
| 5 | 1993 | 54 | |
| 6 | 2008 | 38 | |
| 7 | 1992 | 31 | |
| 8 | 1999 | 29 | |
| 9 | 2009 | 10 | |
| 10 | 2022 | 2 | |
| 11 | 2024 | 1 |
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 679 indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (5 papers), Immunotherapy and Immune Responses (4 papers), CAR-T cell therapy research (4 papers), Immune Cell Function and Interaction (4 papers), Cell death mechanisms and regulation (3 papers), Immune Response and Inflammation (2 papers), HIV Research and Treatment (1 paper) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Immunology (470 citations), Cancer Research (309 citations), Oncology (166 citations), Molecular Biology (229 citations) and Pathology and Forensic Medicine (53 citations). Mei-Ling Liou has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Hsiou‐Chi Liou, Joseph R. Tumang, Zhuang Jin, Sofija Andjelić, Kendall A. Smith, Gokul Kandala, Yeong Jin Choi, Ming‐Zong Lai, Richard R. Hardy and Alexander M. Owyang. Their work appears in journals such as The Journal of Immunology, Frontiers in Immunology, Cell Research, Journal of Biological Chemistry and Frontiers in Medicine.
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.