Meng-Wei Ko
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune cells in cancer
- Reproductive System and Pregnancy
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- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
Papers in
- Immunology 16
- Immune Cell Function and Interaction 16
- Immunotherapy and Immune Responses 5
- T-cell and B-cell Immunology 5
- Immune cells in cancer 4
- Immune Response and Inflammation 2
- Oncology 5
- CAR-T cell therapy research 3
- Cancer Immunotherapy and Biomarkers 3
- Co-authors
- Anahid Jewett (17 shared papers)Kawaljit Kaur (14 shared papers)Janko Kos (6 shared papers)Milica Perišić Nanut (3 shared papers)Changge Fang (3 shared papers)Yuman Fong (2 shared papers)So‐Hyun Park (2 shared papers)Anna Kozłowska (2 shared papers)
- Journals
- Cells (3 papers)Critical Reviews in Immunology (2 papers)Cancers (2 papers)Molecular Therapy — Oncolytics (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesSloveniaPoland
In The Last Decade
Meng-Wei Ko
19 papers receiving 420 citations
Peers
Comparison fields: 5 of 58
- Immunology 294
- Oncology 193
- Biological Psychiatry 7
- Cancer Research 34
- Genetics 24
Countries citing papers authored by Meng-Wei Ko
This map shows the geographic impact of Meng-Wei Ko'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 Meng-Wei Ko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meng-Wei Ko more than expected).
Fields of papers citing papers by Meng-Wei Ko
This network shows the impact of papers produced by Meng-Wei Ko. 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 Meng-Wei Ko. The network helps show where Meng-Wei Ko may publish in the future.
Co-authors
The 25 scholars most cited alongside Meng-Wei Ko, 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 | 2018 | 57 | |
| 2 | 2018 | 55 | |
| 3 | 2019 | 50 | |
| 4 | 2018 | 47 | |
| 5 | 2019 | 44 | |
| 6 | 2022 | 30 | |
| 7 | 2020 | 24 | |
| 8 | 2021 | 24 | |
| 9 | 2023 | 17 | |
| 10 | 2020 | 14 | |
| 11 | 2022 | 13 | |
| 12 | 2021 | 12 | |
| 13 | 2020 | 12 | |
| 14 | 2021 | 7 | |
| 15 | 2022 | 6 | |
| 16 | 2020 | 5 | |
| 17 | 2018 | 4 | |
| 18 | 2022 | 2 | |
| 19 | 2025 | 2 |
About Meng-Wei Ko
Meng-Wei Ko is a scholar working on Immunology, Oncology, Genetics, Neurology and Pharmacology, having authored 19 papers that have together received 425 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (16 papers), Immunotherapy and Immune Responses (5 papers), T-cell and B-cell Immunology (5 papers), Immune cells in cancer (4 papers), CAR-T cell therapy research (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Immune Response and Inflammation (2 papers) and Neurogenetic and Muscular Disorders Research (1 paper). The work is most often cited by research in Immunology (294 citations), Oncology (193 citations), Biological Psychiatry (7 citations), Cancer Research (34 citations) and Genetics (24 citations). Meng-Wei Ko has collaborated with scholars based in United States, Slovenia and Poland. Frequent co-authors include Anahid Jewett, Kawaljit Kaur, Janko Kos, Milica Perišić Nanut, Changge Fang, Yuman Fong, So‐Hyun Park, Anna Kozłowska, Paytsar Topchyan and Paul Wong. Their work appears in journals such as Cells, Critical Reviews in Immunology, Cancers, Molecular Therapy — Oncolytics and Scientific Reports.
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.