Kevin J. Lee

3.7k citations
23 papers · 2.5k indexed · 1 hit paper · h-index 15

Kevin J. Lee

23 papers receiving 2.5k citations

Hit Papers

The genetic design of signaling cascades to record recept...5282007202620132019100200300400500

Peers

Kevin J. Lee
Comparison fields: 5 of 109
  • Developmental Neuroscience 466
  • Cellular and Molecular Neuroscience 839
  • Molecular Biology 1.8k
  • Sensory Systems 92
  • Genetics 414
Replace Francesca Tuorto with:
Francesca Tuorto Germany
Mitsuhiro Hashimoto Japan
Engin Özkan United States
Grant S. Mastick United States
Linda S. Ross United States
Thomas Theil United Kingdom
Ichiro Masai Japan
Oren Schuldiner Israel
Alicia Hidalgo United Kingdom
Matthias Heidenreich United States
Kevin J. Lee relative to Francesca Tuorto Germany Francesca Tuorto's profile →
Citations per field
00.5×1.5×1.9×
Francesca Tuorto · 1×
Citations per year

Countries citing papers authored by Kevin J. Lee

Since Specialization
Citations

This map shows the geographic impact of Kevin J. 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 J. 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 J. Lee more than expected).

Fields of papers citing papers by Kevin J. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin J. 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 J. Lee. The network helps show where Kevin J. Lee may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Kevin J. Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kevin J. Lee Line = papers co-authored together Kevin J. Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20236
4 202212
5 202214
6 20222
7 20211
8 202116
9 202129
10 202034
11 200896
12
The genetic design of signaling cascades to record receptor activationbreakdown →
2007528
13 2005222
14 2000225
15 1999159
16 19998
17 1998278
18 1997102
19 199546
20 199456

About Kevin J. Lee

Kevin J. Lee is a scholar working on Transplantation, Developmental Neuroscience and Cellular and Molecular Neuroscience, having authored 23 papers that have together received 2.5k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (9 papers), Axon Guidance and Neuronal Signaling (4 papers), Organ Donation and Transplantation (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Renal Transplantation Outcomes and Treatments (2 papers), Hedgehog Signaling Pathway Studies (2 papers), Glioma Diagnosis and Treatment (2 papers) and Congenital heart defects research (2 papers). The work is most often cited by research in Developmental Neuroscience (466 citations), Cellular and Molecular Neuroscience (839 citations) and Molecular Biology (1.8k citations). Kevin J. Lee has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Thomas M. Jessell, Brian Kloss, Monica Mendelsohn, Paula Dietrich, Gilles Herrada, Yemiliya Berman, Gilad Barnea, Richard Axel, Jane Jun‐Xin Ong and Walter Strapps. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Neuron.

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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