Nathan Clack
Impact in
- Biophysics top 1%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
Papers in ⓘ
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- Advanced Electron Microscopy Techniques and Applications 2
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- Cell Image Analysis Techniques 3
- Advanced Fluorescence Microscopy Techniques 3
- Co-authors
- Eugene W. Myers (5 shared papers)Karel Svoboda (5 shared papers)Daniel H. O’Connor (3 shared papers)Daniel Huber (3 shared papers)Charles R. Gerfen (1 shared paper)Jayaram Chandrashekar (1 shared paper)Michael N. Economo (1 shared paper)Luke D. Lavis (1 shared paper)
- Journals
- Journal of Neuroscience (2 papers)PLoS Computational Biology (1 paper)Soft Matter (1 paper)Biomedical Optics Express (1 paper)Microscopy and Microanalysis (1 paper)
- Partner nations
- United StatesAustriaGermany
In The Last Decade
Nathan Clack
10 papers receiving 928 citations
Peers
Comparison fields: 5 of 95
- Biophysics 282
- Cognitive Neuroscience 438
- Cellular and Molecular Neuroscience 358
- Structural Biology 23
- Media Technology 77
Countries citing papers authored by Nathan Clack
This map shows the geographic impact of Nathan Clack'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 Nathan Clack with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Clack more than expected).
Fields of papers citing papers by Nathan Clack
This network shows the impact of papers produced by Nathan Clack. 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 Nathan Clack. The network helps show where Nathan Clack may publish in the future.
Co-authors
The 25 scholars most cited alongside Nathan Clack, 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 | 2016 | 265 | |
| 2 | 2010 | 216 | |
| 3 | 2012 | 104 | |
| 4 | 2013 | 93 | |
| 5 | 2011 | 89 | |
| 6 | 2022 | 57 | |
| 7 | 2008 | 46 | |
| 8 | 2009 | 36 | |
| 9 | 2005 | 22 | |
| 10 | 2020 | 5 |
About Nathan Clack
Nathan Clack is a scholar working on Structural Biology, Biophysics, Sensory Systems, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 10 papers that have together received 933 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (3 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Neural dynamics and brain function (3 papers), Olfactory and Sensory Function Studies (2 papers), Photoreceptor and optogenetics research (2 papers), Advanced Electron Microscopy Techniques and Applications (2 papers), Advanced biosensing and bioanalysis techniques (1 paper) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Biophysics (282 citations), Cognitive Neuroscience (438 citations), Cellular and Molecular Neuroscience (358 citations), Structural Biology (23 citations) and Media Technology (77 citations). Nathan Clack has collaborated with scholars based in United States, Austria and Germany. Frequent co-authors include Eugene W. Myers, Karel Svoboda, Daniel H. O’Connor, Daniel Huber, Charles R. Gerfen, Jayaram Chandrashekar, Michael N. Economo, Luke D. Lavis, Takaki Komiyama and Jay T. Groves. Their work appears in journals such as Journal of Neuroscience, PLoS Computational Biology, Soft Matter, Biomedical Optics Express and Microscopy and Microanalysis.
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.