V M Lee
Impact in
- Developmental Neuroscience top 2%
- Cell Biology top 1%
- Skin and Cellular Biology Research
- Microtubule and mitosis dynamics
Papers in
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- Wnt/β-catenin signaling in development and cancer 4
- 14-3-3 protein interactions 2
- Mitochondrial Function and Pathology 2
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- Skin and Cellular Biology Research 4
- Microtubule and mitosis dynamics 4
- Cellular Mechanics and Interactions 2
- Co-authors
- John Q. Trojanowski (11 shared papers)Martin J. Carden (2 shared papers)Maria Luiza Gava Schmidt (3 shared papers)William W. Schlaepfer (1 shared paper)Robert A. Lazzarini (2 shared papers)Theresa Schuck (1 shared paper)B Dietzschold (1 shared paper)M. Hollósi (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (10 papers)Journal of Biological Chemistry (2 papers)The Journal of Cell Biology (1 paper)The FASEB Journal (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
V M Lee
15 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 97
- Developmental Neuroscience 225
- Cell Biology 865
- Cellular and Molecular Neuroscience 938
- Physiology 1.2k
- Neurology 625
Countries citing papers authored by V M Lee
This map shows the geographic impact of V M 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 V M Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V M Lee more than expected).
Fields of papers citing papers by V M Lee
This network shows the impact of papers produced by V M 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 V M Lee. The network helps show where V M Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside V M 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 | 1993 | 376 | |
| 2 | 1988 | 362 | |
| 3 | 1996 | 321 | |
| 4 | 1985 | 302 | |
| 5 | 1989 | 283 | |
| 6 | 1991 | 194 | |
| 7 | 1993 | 187 | |
| 8 | 1995 | 165 | |
| 9 | 1993 | 164 | |
| 10 | 1990 | 133 | |
| 11 | 1988 | 115 | |
| 12 | 1994 | 114 | |
| 13 | 1995 | 78 | |
| 14 | 1990 | 65 | |
| 15 | 1991 | 41 | |
| 16 | 2025 | 0 |
About V M Lee
V M Lee is a scholar working on Molecular Biology, Cell Biology, Physiology, Cellular and Molecular Neuroscience and Genetics, having authored 16 papers that have together received 2.9k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (7 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Skin and Cellular Biology Research (4 papers), Microtubule and mitosis dynamics (4 papers), Cellular Mechanics and Interactions (2 papers), 14-3-3 protein interactions (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Developmental Neuroscience (225 citations), Cell Biology (865 citations), Cellular and Molecular Neuroscience (938 citations), Physiology (1.2k citations) and Neurology (625 citations). V M Lee has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include John Q. Trojanowski, Martin J. Carden, Maria Luiza Gava Schmidt, William W. Schlaepfer, Robert A. Lazzarini, Theresa Schuck, B Dietzschold, M. Hollósi, Samuel J. Pleasure and Kent A. Robinson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, The Journal of Cell Biology, The FASEB Journal and Nucleic Acids 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.