Kevin Wei
Impact in
- Immunology top 1%
- Immune cells in cancer
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Cancer Research top 2%
- Cancer Genomics and Diagnostics
Papers in
- Immunology 13
- Immune Cell Function and Interaction 6
- Immunotherapy and Immune Responses 4
- T-cell and B-cell Immunology 3
- Immune cells in cancer 3
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- Single-cell and spatial transcriptomics 4
- Advanced biosensing and bioanalysis techniques 2
- Co-authors
- Michael B. Brenner (8 shared papers)Soumya Raychaudhuri (6 shared papers)Fan Zhang (4 shared papers)Kamil Slowikowski (2 shared papers)Nghia Millard (1 shared paper)Jean Fan (1 shared paper)Po‐Ru Loh (1 shared paper)Yuriy Baglaenko (1 shared paper)
- Journals
- Nature Communications (2 papers)Journal of Clinical Investigation (2 papers)Science Translational Medicine (2 papers)JCI Insight (2 papers)Advanced Materials (2 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Kevin Wei
22 papers receiving 5.6k citations
Kevin Wei's Hit Papers
Peers
Comparison fields: 5 of 137
- Immunology 2.0k
- Cancer Research 857
- Biophysics 276
- Molecular Biology 3.2k
- Oncology 1.1k
Countries citing papers authored by Kevin Wei
This map shows the geographic impact of Kevin Wei'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 Kevin Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Wei more than expected).
Fields of papers citing papers by Kevin Wei
This network shows the impact of papers produced by Kevin Wei. 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 Kevin Wei. The network helps show where Kevin Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Kevin Wei, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Fast, sensitive and accurate integration of single-cell data with Harmony Hit paper breakdown → | 2019 | 4105 |
| 2 | Metabolic reprogramming of natural killer cells in obesity limits antitumor responses Hit paper breakdown → | 2018 | 448 |
| 3 | 2012 | 229 | |
| 4 | 2019 | 173 | |
| 5 | 2022 | 131 | |
| 6 | 2017 | 131 | |
| 7 | 2021 | 68 | |
| 8 | 2021 | 63 | |
| 9 | 2023 | 55 | |
| 10 | 2017 | 47 | |
| 11 | 2021 | 24 | |
| 12 | 2022 | 21 | |
| 13 | 2017 | 21 | |
| 14 | 2019 | 19 | |
| 15 | 2024 | 11 | |
| 16 | 2023 | 10 | |
| 17 | 2017 | 9 | |
| 18 | 2023 | 8 | |
| 19 | 1999 | 6 | |
| 20 | 2013 | 4 |
About Kevin Wei
Kevin Wei is a scholar working on Immunology, Molecular Biology, Oncology, Hematology and Biomedical Engineering, having authored 23 papers that have together received 5.6k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), Single-cell and spatial transcriptomics (4 papers), Immunotherapy and Immune Responses (4 papers), CAR-T cell therapy research (3 papers), T-cell and B-cell Immunology (3 papers), Immune cells in cancer (3 papers), Advanced biosensing and bioanalysis techniques (2 papers) and Cytokine Signaling Pathways and Interactions (2 papers). The work is most often cited by research in Immunology (2.0k citations), Cancer Research (857 citations), Biophysics (276 citations), Molecular Biology (3.2k citations) and Oncology (1.1k citations). Kevin Wei has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Michael B. Brenner, Soumya Raychaudhuri, Fan Zhang, Kamil Slowikowski, Nghia Millard, Jean Fan, Po‐Ru Loh, Yuriy Baglaenko, Ilya Korsunsky and Danielle Duquette. Their work appears in journals such as Nature Communications, Journal of Clinical Investigation, Science Translational Medicine, JCI Insight and Advanced Materials.
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.