Stephan Lamont
Impact in
- Structural Biology top 2%
- Advanced Electron Microscopy Techniques and Applications
- Biophysics top 5%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
Papers in
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- Biomedical Text Mining and Ontologies 2
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- Scientific Computing and Data Management 4
- Co-authors
- Maryann E. Martone (10 shared papers)Mark H. Ellisman (7 shared papers)Stephen J. Young (3 shared papers)Eduardo Esquenazi (1 shared paper)Thomas M. Bartol (1 shared paper)Jay S. Coggan (1 shared paper)Joel R. Stiles (1 shared paper)Darwin K. Berg (1 shared paper)
- Journals
- Journal of Structural Biology (2 papers)Microscopy and Microanalysis (2 papers)Journal of Parallel and Distributed Computing (1 paper)Science (1 paper)NeuroImage (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
Stephan Lamont
12 papers receiving 423 citations
Peers
Comparison fields: 5 of 90
- Structural Biology 93
- Biophysics 99
- Information Systems and Management 53
- Surfaces, Coatings and Films 53
- Cellular and Molecular Neuroscience 81
Countries citing papers authored by Stephan Lamont
This map shows the geographic impact of Stephan Lamont'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 Stephan Lamont with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephan Lamont more than expected).
Fields of papers citing papers by Stephan Lamont
This network shows the impact of papers produced by Stephan Lamont. 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 Stephan Lamont. The network helps show where Stephan Lamont may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephan Lamont, 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 | 2005 | 139 | |
| 2 | 1994 | 105 | |
| 3 | 2007 | 61 | |
| 4 | 1999 | 42 | |
| 5 | 2003 | 39 | |
| 6 | 1996 | 22 | |
| 7 | 2006 | 10 | |
| 8 | An Ontology-Driven Knowledge Environment For Subcellular Neuroanatomy. | 2007 | 6 |
| 9 | 2008 | 6 | |
| 10 | 2006 | 5 | |
| 11 | 2011 | 3 | |
| 12 | 2001 | 2 |
About Stephan Lamont
Stephan Lamont is a scholar working on Molecular Biology, Information Systems and Management, Biophysics, Computer Networks and Communications and Structural Biology, having authored 12 papers that have together received 440 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (4 papers), Cell Image Analysis Techniques (3 papers), Distributed and Parallel Computing Systems (2 papers), Biomedical Text Mining and Ontologies (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Advanced Vision and Imaging (2 papers), Advanced Electron Microscopy Techniques and Applications (2 papers) and Photoreceptor and optogenetics research (2 papers). The work is most often cited by research in Structural Biology (93 citations), Biophysics (99 citations), Information Systems and Management (53 citations), Surfaces, Coatings and Films (53 citations) and Cellular and Molecular Neuroscience (81 citations). Stephan Lamont has collaborated with scholars based in United States and Japan. Frequent co-authors include Maryann E. Martone, Mark H. Ellisman, Stephen J. Young, Eduardo Esquenazi, Thomas M. Bartol, Jay S. Coggan, Joel R. Stiles, Darwin K. Berg, Terrence J. Sejnowski and Kiyoshi Hama. Their work appears in journals such as Journal of Structural Biology, Microscopy and Microanalysis, Journal of Parallel and Distributed Computing, Science and NeuroImage.
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.