Kevin Lee

11.9k citations
63 papers · 5.2k indexed · 2 hit papers · h-index 30
Topics
Neuroscience and Neuropharmacology Research (9 papers)Epigenetics and DNA Methylation (6 papers)Protein Degradation and Inhibitors (5 papers)

In The Last Decade

Kevin Lee

57 papers receiving 5.1k citations

Hit Papers

Suppression of inflammation by a synthetic histone mimic2010202620152020201020124008001.2k

Peers

Kevin Lee
Comparison fields: 5 of 148
  • Molecular Biology 3.4k
  • Immunology 717
  • Hematology 674
  • Cellular and Molecular Neuroscience 475
  • Genetics 463
Replace Luanne L. Peters with:
Luanne L. Peters United States
Paul E. Hughes United States
Patrick Martin France
G.A.P. Bruns United States
John R. Walker United States
Hans Eiberg Denmark
Kevin Morgan United Kingdom
Kristin Ardlie United States
Robert Day Canada
Michael Nehls Germany
Kevin Lee relative to Luanne L. Peters United States Luanne L. Peters's profile →
Citations per field
00.5×1.5×2.5×
Luanne L. Peters · 1×
Citations per year

Countries citing papers authored by Kevin Lee

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Kevin Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Lee. A scholar is included among the top collaborators of Kevin Lee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kevin Lee. Kevin Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 4
4 11
5 11
6 136
7 100
8 206
9 8
10 134
11 18
12 26
13 41
14 39
15 44
16 72
17 208
18 97
19 15
20 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) and Protein Degradation and Inhibitors (5 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 Nature, Proceedings of the National Academy of Sciences 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.

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