V M Lee
Impact in
- Developmental Neuroscience top 2%
- Cell Biology top 1%
- Skin and Cellular Biology Research
- Cellular Mechanics and Interactions
Papers in
-
- Wnt/β-catenin signaling in development and cancer 4
- 14-3-3 protein interactions 2
- Mitochondrial Function and Pathology 2
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- Microtubule and mitosis dynamics 4
- Skin and Cellular Biology Research 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)Pang‐Hsien Tu (2 shared papers)M. Hollósi (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (10 papers)Journal of Biological Chemistry (2 papers)Nucleic Acids Research (1 paper)Journal of Histochemistry & Cytochemistry (1 paper)The FASEB Journal (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 219
- Cell Biology 851
- Cellular and Molecular Neuroscience 901
- Physiology 1.1k
- Neurology 596
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 | 360 | |
| 3 | 1996 | 322 | |
| 4 | 1985 | 301 | |
| 5 | 1989 | 283 | |
| 6 | 1991 | 194 | |
| 7 | 1993 | 188 | |
| 8 | 1995 | 166 | |
| 9 | 1993 | 164 | |
| 10 | 1990 | 132 | |
| 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), Microtubule and mitosis dynamics (4 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Skin and Cellular Biology Research (4 papers), 14-3-3 protein interactions (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Cellular Mechanics and Interactions (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Developmental Neuroscience (219 citations), Cell Biology (851 citations), Cellular and Molecular Neuroscience (901 citations), Physiology (1.1k citations) and Neurology (596 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, Pang‐Hsien Tu, M. Hollósi, B Dietzschold and Samuel J. Pleasure. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Nucleic Acids Research, Journal of Histochemistry & Cytochemistry and The FASEB Journal.
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.