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
Papers in
- Immunology 19
- Immune Cell Function and Interaction 19
- T-cell and B-cell Immunology 7
- Immunotherapy and Immune Responses 5
- Immune cells in cancer 4
- Oncology 5
- Cancer Immunotherapy and Biomarkers 3
- CAR-T cell therapy research 3
- Co-authors
- Anahid Jewett (20 shared papers)Kawaljit Kaur (19 shared papers)Janko Kos (9 shared papers)Milica Perišić Nanut (3 shared papers)Changge Fang (3 shared papers)Yuman Fong (2 shared papers)Anna Kozłowska (2 shared papers)Paul Wong (6 shared papers)
- Journals
- Critical Reviews in Immunology (4 papers)Cells (3 papers)Cancers (2 papers)Memórias do Instituto Oswaldo Cruz (1 paper)Molecular Therapy — Oncolytics (1 paper)
- Partner nations
- United StatesSloveniaPoland
In The Last Decade
Meng-Wei Ko
25 papers receiving 485 citations
Peers
Comparison fields: 5 of 64
- Immunology 312
- Oncology 191
- Genetics 27
- Obstetrics and Gynecology 15
- Neurology 30
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
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 58 | |
| 2 | 2018 | 57 | |
| 3 | 2019 | 55 | |
| 4 | 2018 | 50 | |
| 5 | 2019 | 50 | |
| 6 | 2022 | 32 | |
| 7 | 2021 | 30 | |
| 8 | 2020 | 28 | |
| 9 | 2023 | 18 | |
| 10 | 2020 | 17 | |
| 11 | 2020 | 14 | |
| 12 | 2022 | 14 | |
| 13 | 2021 | 12 | |
| 14 | 2019 | 10 | |
| 15 | 2021 | 8 | |
| 16 | 2022 | 7 | |
| 17 | 2020 | 6 | |
| 18 | 2023 | 5 | |
| 19 | 2023 | 4 | |
| 20 | 2018 | 4 |
About Meng-Wei Ko
Meng-Wei Ko is a scholar working on Immunology, Oncology, Genetics, Neurology and Neurology, having authored 25 papers that have together received 490 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (19 papers), T-cell and B-cell Immunology (7 papers), Immunotherapy and Immune Responses (5 papers), Immune cells in cancer (4 papers), Amyotrophic Lateral Sclerosis Research (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), CAR-T cell therapy research (3 papers) and Neurogenetic and Muscular Disorders Research (2 papers). The work is most often cited by research in Immunology (312 citations), Oncology (191 citations), Genetics (27 citations), Obstetrics and Gynecology (15 citations) and Neurology (30 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, Anna Kozłowska, Paul Wong, Paytsar Topchyan and So‐Hyun Park. Their work appears in journals such as Critical Reviews in Immunology, Cells, Cancers, Memórias do Instituto Oswaldo Cruz and Molecular Therapy — Oncolytics.
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.