Kevin Lee
- Hematology top 1%
- Molecular Biology top 2%
- Epigenetics and DNA Methylation 6
- Protein Degradation and Inhibitors 5
- CRISPR and Genetic Engineering 4
- Mitochondrial Function and Pathology 4
- Biological Psychiatry top 5%
- Immunology top 5%
- Immune Cell Function and Interaction 4
- Sensory Systems top 2%
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- Neuroscience and Neuropharmacology Research 9
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- Neuroinflammation and Neurodegeneration Mechanisms 4
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- Primate Behavior and Ecology 4
- Co-authors
- C. BountraC.H. ArrowsmithPaul V. FishMatthieu SchapiraGary LynchRab K. PrinjhaJosé M. LoraRohit Chandwani
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Nature Communications (2 papers)Nature (2 papers)
- Partner nations
- United StatesUnited KingdomNew Zealand
In The Last Decade
Kevin Lee
57 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Hematology 674
- Molecular Biology 3.4k
- Biological Psychiatry 88
- Immunology 717
- Sensory Systems 145
Countries citing papers authored by Kevin Lee
This map shows the geographic impact of Kevin Lee'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 Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Lee more than expected).
Fields of papers citing papers by Kevin Lee
This network shows the impact of papers produced by Kevin Lee. 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 Lee. The network helps show where Kevin Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kevin Lee, 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 | 2024 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 4 | |
| 4 | 2021 | 11 | |
| 5 | 2021 | 11 | |
| 6 | 2018 | 136 | |
| 7 | 2017 | 100 | |
| 8 | 2017 | 206 | |
| 9 | 2017 | 8 | |
| 10 | 2017 | 134 | |
| 11 | 2015 | 18 | |
| 12 | 2015 | 26 | |
| 13 | 2015 | 41 | |
| 14 | 2015 | 39 | |
| 15 | 2013 | 44 | |
| 16 | 2012 | 72 | |
| 17 | 2012 | 208 | |
| 18 | 2009 | 97 | |
| 19 | 2006 | 15 | |
| 20 | 1998 | 38 |
About Kevin Lee
Kevin Lee is a scholar working on Developmental Biology, Cellular and Molecular Neuroscience and Neurology, having authored 63 papers that have together received 5.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (9 papers), Epigenetics and DNA Methylation (6 papers), Protein Degradation and Inhibitors (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), CRISPR and Genetic Engineering (4 papers), Immune Cell Function and Interaction (4 papers), Primate Behavior and Ecology (4 papers) and Mitochondrial Function and Pathology (4 papers). The work is most often cited by research in Hematology (674 citations), Molecular Biology (3.4k citations) and Biological Psychiatry (88 citations). Kevin Lee has collaborated with scholars based in United States, United Kingdom and New Zealand. Frequent co-authors include C. Bountra, C.H. Arrowsmith, Paul V. Fish, Matthieu Schapira, Gary Lynch, Rab K. Prinjha, José M. Lora, Rohit Chandwani, Edwige Nicodème and Kate L. Jeffrey. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications, Nature, Journal of Human Evolution and Brain Research.
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.