Stephen Gee
Impact in
-
- Neuroscience and Neuropharmacology Research
- Cell Biology top 1%
- Cellular transport and secretion
Papers in ⓘ
-
- Protein Kinase Regulation and GTPase Signaling 8
- Muscle Physiology and Disorders 8
- Cell Biology 13
- Cellular Mechanics and Interactions 5
- Cellular transport and secretion 5
- Co-authors
- Stanley C. Froehner (5 shared papers)Salvatore Carbonetto (4 shared papers)Michael Lindenbaum (3 shared papers)Federica Montanaro (2 shared papers)Matthew F. Peters (2 shared papers)Sarah E. Craven (1 shared paper)Houhui Xia (1 shared paper)David S. Bredt (1 shared paper)
- Journals
- Journal of Biological Chemistry (6 papers)Molecular Biology of the Cell (3 papers)Optics Express (2 papers)Cell (2 papers)Biochemistry (2 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Stephen Gee
41 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Cellular and Molecular Neuroscience 1.0k
- Cell Biology 878
- Physiology 1.1k
- Molecular Biology 2.8k
- Immunology and Allergy 221
Countries citing papers authored by Stephen Gee
This map shows the geographic impact of Stephen Gee'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 Stephen Gee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Gee more than expected).
Fields of papers citing papers by Stephen Gee
This network shows the impact of papers produced by Stephen Gee. 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 Stephen Gee. The network helps show where Stephen Gee may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Gee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Interaction of Nitric Oxide Synthase with the Postsynaptic Density Protein PSD-95 and α1-Syntrophin Mediated by PDZ Domains Hit paper breakdown → | 1996 | 1376 |
| 2 | 1994 | 453 | |
| 3 | 1998 | 297 | |
| 4 | 1993 | 251 | |
| 5 | 2001 | 249 | |
| 6 | 1996 | 126 | |
| 7 | 1998 | 110 | |
| 8 | 2002 | 108 | |
| 9 | 2001 | 96 | |
| 10 | 2011 | 89 | |
| 11 | 2009 | 76 | |
| 12 | 2003 | 72 | |
| 13 | 2009 | 68 | |
| 14 | 1998 | 64 | |
| 15 | 2005 | 58 | |
| 16 | 2004 | 50 | |
| 17 | 2000 | 47 | |
| 18 | 1999 | 39 | |
| 19 | 2004 | 38 | |
| 20 | 2000 | 38 |
About Stephen Gee
Stephen Gee is a scholar working on Molecular Biology, Cell Biology, Condensed Matter Physics, Physiology and Atomic and Molecular Physics, and Optics, having authored 43 papers that have together received 4.0k indexed citations. Recurring topics across this work include GaN-based semiconductor devices and materials (8 papers), Protein Kinase Regulation and GTPase Signaling (8 papers), Muscle Physiology and Disorders (8 papers), Semiconductor Quantum Structures and Devices (6 papers), Adipose Tissue and Metabolism (5 papers), Cellular Mechanics and Interactions (5 papers), Cellular transport and secretion (5 papers) and Retinal Diseases and Treatments (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.0k citations), Cell Biology (878 citations), Physiology (1.1k citations), Molecular Biology (2.8k citations) and Immunology and Allergy (221 citations). Stephen Gee has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Stanley C. Froehner, Salvatore Carbonetto, Michael Lindenbaum, Federica Montanaro, Matthew F. Peters, Sarah E. Craven, Houhui Xia, David S. Bredt, Ziqiang Wu and Aaron W. McGee. Their work appears in journals such as Journal of Biological Chemistry, Molecular Biology of the Cell, Optics Express, Cell and Biochemistry.
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.