Kevin Nee
Impact in
- Immunology top 10%
- Immune cells in cancer
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- Epigenetics and DNA Methylation
- Cancer-related gene regulation
- Single-cell and spatial transcriptomics
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
- CRISPR and Genetic Engineering
Papers in
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- Epigenetics and DNA Methylation 5
- Single-cell and spatial transcriptomics 2
- Cancer-related gene regulation 2
- Angiogenesis and VEGF in Cancer 1
- Oncology 2
- Cancer Cells and Metastasis 2
- Co-authors
- Kai Kessenbrock (4 shared papers)Quy Nguyen (3 shared papers)Nicholas Pervolarakis (3 shared papers)Amander T. Clark (6 shared papers)Steven E. Jacobsen (3 shared papers)Craig M. Walsh (2 shared papers)Hamad Alshetaiwi (2 shared papers)Dennis Ma (2 shared papers)
- Journals
- Cell stem cell (1 paper)The EMBO Journal (1 paper)Stem Cell Reports (1 paper)The Journal of Immunology (1 paper)Science Immunology (1 paper)
- Partner nations
- United StatesSwitzerlandTaiwan
In The Last Decade
Kevin Nee
11 papers receiving 897 citations
Kevin Nee's Hit Papers
Peers
Comparison fields: 5 of 73
- Immunology 293
- Molecular Biology 575
- Oncology 149
- Cancer Research 56
- Genetics 104
Countries citing papers authored by Kevin Nee
This map shows the geographic impact of Kevin Nee'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 Nee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Nee more than expected).
Fields of papers citing papers by Kevin Nee
This network shows the impact of papers produced by Kevin Nee. 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 Nee. The network helps show where Kevin Nee may publish in the future.
Co-authors
The 25 scholars most cited alongside Kevin Nee, 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 | Defining the emergence of myeloid-derived suppressor cells in breast cancer using single-cell transcriptomics Hit paper breakdown → | 2020 | 340 |
| 2 | 2013 | 146 | |
| 3 | 2015 | 135 | |
| 4 | 2018 | 120 | |
| 5 | 2014 | 96 | |
| 6 | 2014 | 33 | |
| 7 | 2024 | 15 | |
| 8 | 2015 | 14 | |
| 9 | 2015 | 6 | |
| 10 | 2024 | 1 | |
| 11 | 2019 | 1 |
About Kevin Nee
Kevin Nee is a scholar working on Molecular Biology, Oncology, Genetics, Immunology and Surgery, having authored 11 papers that have together received 907 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (5 papers), Single-cell and spatial transcriptomics (2 papers), Cancer Cells and Metastasis (2 papers), Cancer-related gene regulation (2 papers), Immune Cell Function and Interaction (2 papers), Immune cells in cancer (2 papers), Intraperitoneal and Appendiceal Malignancies (1 paper) and Angiogenesis and VEGF in Cancer (1 paper). The work is most often cited by research in Immunology (293 citations), Molecular Biology (575 citations), Oncology (149 citations), Cancer Research (56 citations) and Genetics (104 citations). Kevin Nee has collaborated with scholars based in United States, Switzerland and Taiwan. Frequent co-authors include Kai Kessenbrock, Quy Nguyen, Nicholas Pervolarakis, Amander T. Clark, Steven E. Jacobsen, Craig M. Walsh, Hamad Alshetaiwi, Dennis Ma, Laura L. McIntyre and Jan A. Rath. Their work appears in journals such as Cell stem cell, The EMBO Journal, Stem Cell Reports, The Journal of Immunology and Science Immunology.
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.