William Silversmith
Impact in
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- Photoreceptor and optogenetics research
- Neuroscience and Neuropharmacology Research
- Neuroscience and Neural Engineering
Papers in
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- Cell Image Analysis Techniques 3
- Advanced Fluorescence Microscopy Techniques 2
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- Single-cell and spatial transcriptomics 1
- Co-authors
- Amy Sterling (3 shared papers)Nico Kemnitz (4 shared papers)Ignacio Tartavull (3 shared papers)J. Alexander Bae (2 shared papers)H. Sebastian Seung (4 shared papers)Nicholas L. Turner (3 shared papers)Chris S. Jordan (2 shared papers)Marissa Sorek (1 shared paper)
- Journals
- Cell (1 paper)Frontiers in Neural Circuits (1 paper)Current Biology (1 paper)Nature Communications (1 paper)Annual Review of Neuroscience (1 paper)
- Partner nations
- United StatesSwitzerlandMexico
In The Last Decade
William Silversmith
6 papers receiving 172 citations
Peers
Comparison fields: 5 of 54
- Structural Biology 11
- Cellular and Molecular Neuroscience 83
- Biophysics 26
- Cognitive Neuroscience 45
- Endocrine and Autonomic Systems 13
Countries citing papers authored by William Silversmith
This map shows the geographic impact of William Silversmith'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 William Silversmith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Silversmith more than expected).
Fields of papers citing papers by William Silversmith
This network shows the impact of papers produced by William Silversmith. 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 William Silversmith. The network helps show where William Silversmith may publish in the future.
Co-authors
The 25 scholars most cited alongside William Silversmith, 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 | 2018 | 140 | |
| 2 | 2020 | 11 | |
| 3 | 2018 | 10 | |
| 4 | 2022 | 6 | |
| 5 | 2023 | 4 | |
| 6 | 2024 | 3 |
About William Silversmith
William Silversmith is a scholar working on Biophysics, Molecular Biology, Structural Biology, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 6 papers that have together received 174 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (3 papers), Advanced Electron Microscopy Techniques and Applications (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Single-cell and spatial transcriptomics (1 paper), Electron and X-Ray Spectroscopy Techniques (1 paper), Neuroscience and Neural Engineering (1 paper), Retinal Diseases and Treatments (1 paper) and Species Distribution and Climate Change (1 paper). The work is most often cited by research in Structural Biology (11 citations), Cellular and Molecular Neuroscience (83 citations), Biophysics (26 citations), Cognitive Neuroscience (45 citations) and Endocrine and Autonomic Systems (13 citations). William Silversmith has collaborated with scholars based in United States, Switzerland and Mexico. Frequent co-authors include Amy Sterling, Nico Kemnitz, Ignacio Tartavull, J. Alexander Bae, H. Sebastian Seung, Nicholas L. Turner, Chris S. Jordan, Marissa Sorek, Kevin L. Briggman and Jinseop S. Kim. Their work appears in journals such as Cell, Frontiers in Neural Circuits, Current Biology, Nature Communications and Annual Review of Neuroscience.
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.