Nicholas Sofroniew
Impact in
- Biophysics top 1%
- Advanced Fluorescence Microscopy Techniques
- Cell Image Analysis Techniques
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- Memory and Neural Mechanisms
Papers in
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- Photoreceptor and optogenetics research 4
- Neuroscience and Neural Engineering 2
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- Cell Image Analysis Techniques 3
- Co-authors
- Karel Svoboda (4 shared papers)Jonathan L. F. King (1 shared paper)Daniel P. Flickinger (1 shared paper)Jeremy Freeman (2 shared papers)Jeremy D. Cohen (1 shared paper)Albert K. Lee (1 shared paper)Nikita Vladimirov (1 shared paper)Joshua Rosen (1 shared paper)
- Journals
- Nature Methods (2 papers)eLife (2 papers)Journal of Neuroscience (1 paper)Science (1 paper)Cell (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Nicholas Sofroniew
9 papers receiving 1.4k citations
Nicholas Sofroniew's Hit Papers
Peers
Comparison fields: 5 of 114
- Biophysics 321
- Cognitive Neuroscience 467
- Cellular and Molecular Neuroscience 436
- Structural Biology 32
- Cell Biology 110
Countries citing papers authored by Nicholas Sofroniew
This map shows the geographic impact of Nicholas Sofroniew'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 Nicholas Sofroniew with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas Sofroniew more than expected).
Fields of papers citing papers by Nicholas Sofroniew
This network shows the impact of papers produced by Nicholas Sofroniew. 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 Nicholas Sofroniew. The network helps show where Nicholas Sofroniew may publish in the future.
Co-authors
The 16 scholars most cited alongside Nicholas Sofroniew, 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 | A large field of view two-photon mesoscope with subcellular resolution for in vivo imaging Hit paper breakdown → | 2016 | 441 |
| 2 | Simulating 500 million years of evolution with a language model Hit paper breakdown → | 2025 | 301 |
| 3 | 2014 | 207 | |
| 4 | How to build the virtual cell with artificial intelligence: Priorities and opportunities Hit paper breakdown → | 2024 | 153 |
| 5 | 2014 | 105 | |
| 6 | 2015 | 85 | |
| 7 | 2021 | 79 | |
| 8 | 2015 | 53 | |
| 9 | 2017 | 3 |
About Nicholas Sofroniew
Nicholas Sofroniew is a scholar working on Cellular and Molecular Neuroscience, Biophysics, Cognitive Neuroscience, Information Systems and Management and Cultural Studies, having authored 9 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neural dynamics and brain function (5 papers), Photoreceptor and optogenetics research (4 papers), Memory and Neural Mechanisms (3 papers), Cell Image Analysis Techniques (3 papers), Neuroscience and Neural Engineering (2 papers), Single-cell and spatial transcriptomics (2 papers), Zebrafish Biomedical Research Applications (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Biophysics (321 citations), Cognitive Neuroscience (467 citations), Cellular and Molecular Neuroscience (436 citations), Structural Biology (32 citations) and Cell Biology (110 citations). Nicholas Sofroniew has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Karel Svoboda, Jonathan L. F. King, Daniel P. Flickinger, Jeremy Freeman, Jeremy D. Cohen, Albert K. Lee, Nikita Vladimirov, Joshua Rosen, Davis Bennett and Yu Mu. Their work appears in journals such as Nature Methods, eLife, Journal of Neuroscience, Science and Cell.
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.