Kevin Nee
Impact in
- Immunology top 10%
- Immune cells in cancer
- Immune Cell Function and Interaction
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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
Papers in
-
- 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)Laura L. McIntyre (2 shared papers)Grace A. Hernandez (1 shared paper)Katrina Evans (2 shared papers)
- Journals
- The EMBO Journal (1 paper)The Journal of Immunology (1 paper)Science Immunology (1 paper)Frontiers in Cell and Developmental Biology (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesSwitzerlandSaudi Arabia
In The Last Decade
Kevin Nee
11 papers receiving 854 citations
Kevin Nee's Hit Papers
Peers
Comparison fields: 5 of 74
- Immunology 298
- Molecular Biology 569
- Oncology 163
- Cancer Research 62
- Aging 7
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 | 322 |
| 2 | 2013 | 137 | |
| 3 | 2015 | 128 | |
| 4 | 2018 | 116 | |
| 5 | 2014 | 94 | |
| 6 | 2014 | 32 | |
| 7 | 2015 | 14 | |
| 8 | 2024 | 11 | |
| 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 862 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 cells in cancer (2 papers), Immune Cell Function and Interaction (2 papers), Cancer Genomics and Diagnostics (1 paper) and Angiogenesis and VEGF in Cancer (1 paper). The work is most often cited by research in Immunology (298 citations), Molecular Biology (569 citations), Oncology (163 citations), Cancer Research (62 citations) and Aging (7 citations). Kevin Nee has collaborated with scholars based in United States, Switzerland and Saudi Arabia. Frequent co-authors include Kai Kessenbrock, Quy Nguyen, Nicholas Pervolarakis, Amander T. Clark, Steven E. Jacobsen, Laura L. McIntyre, Grace A. Hernandez, Katrina Evans, Dennis Ma and Jan A. Rath. Their work appears in journals such as The EMBO Journal, The Journal of Immunology, Science Immunology, Frontiers in Cell and Developmental Biology and Nature Communications.
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.