Sam Vesuna
Impact in
- Biophysics top 1%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
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- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
Papers in
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- Single-cell and spatial transcriptomics 2
- Gene Regulatory Network Analysis 2
- Receptor Mechanisms and Signaling 2
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- Advanced Fluorescence Microscopy Techniques 6
- Co-authors
- Karl Deisseroth (8 shared papers)Charu Ramakrishnan (5 shared papers)William E. Allen (3 shared papers)Kathryn E. Evans (2 shared papers)Xiao Wang (2 shared papers)Emily Sylwestrak (2 shared papers)Matthew A. Wright (1 shared paper)Felice-Alessio Bava (1 shared paper)
- Journals
- Cell (2 papers)Journal of Visualized Experiments (2 papers)Cell Reports (1 paper)Neuron (1 paper)Journal of the American College of Cardiology (1 paper)
- Partner nations
- United States
In The Last Decade
Sam Vesuna
13 papers receiving 1.6k citations
Sam Vesuna's Hit Papers
Peers
Comparison fields: 5 of 111
- Biophysics 262
- Cellular and Molecular Neuroscience 337
- Molecular Biology 1.0k
- Cognitive Neuroscience 262
- Neurology 88
Countries citing papers authored by Sam Vesuna
This map shows the geographic impact of Sam Vesuna'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 Sam Vesuna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sam Vesuna more than expected).
Fields of papers citing papers by Sam Vesuna
This network shows the impact of papers produced by Sam Vesuna. 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 Sam Vesuna. The network helps show where Sam Vesuna may publish in the future.
Co-authors
The 25 scholars most cited alongside Sam Vesuna, 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 | Three-dimensional intact-tissue sequencing of single-cell transcriptional states Hit paper breakdown → | 2018 | 1000 |
| 2 | 2020 | 158 | |
| 3 | 2017 | 125 | |
| 4 | 2020 | 108 | |
| 5 | 2016 | 76 | |
| 6 | 2016 | 57 | |
| 7 | 2022 | 38 | |
| 8 | 2013 | 26 | |
| 9 | 2013 | 20 | |
| 10 | 2011 | 16 | |
| 11 | 2025 | 10 | |
| 12 | 2012 | 9 | |
| 13 | 2012 | 4 | |
| 14 | 2022 | 0 |
About Sam Vesuna
Sam Vesuna is a scholar working on Molecular Biology, Biophysics, Cellular and Molecular Neuroscience, Cognitive Neuroscience and Biomedical Engineering, having authored 14 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Fluorescence Microscopy Techniques (6 papers), Photoreceptor and optogenetics research (4 papers), Neural dynamics and brain function (3 papers), Single-cell and spatial transcriptomics (2 papers), Photoacoustic and Ultrasonic Imaging (2 papers), Gene Regulatory Network Analysis (2 papers), Receptor Mechanisms and Signaling (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Biophysics (262 citations), Cellular and Molecular Neuroscience (337 citations), Molecular Biology (1.0k citations), Cognitive Neuroscience (262 citations) and Neurology (88 citations). Sam Vesuna has collaborated with scholars based in United States. Frequent co-authors include Karl Deisseroth, Charu Ramakrishnan, William E. Allen, Kathryn E. Evans, Xiao Wang, Emily Sylwestrak, Matthew A. Wright, Felice-Alessio Bava, Garry P. Nolan and Cindy Liu. Their work appears in journals such as Cell, Journal of Visualized Experiments, Cell Reports, Neuron and Journal of the American College of Cardiology.
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.