Jonathan Kadmon
Impact in
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- Photoreceptor and optogenetics research
- Neuroscience and Neural Engineering
- Neuroscience and Neuropharmacology Research
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
Papers in
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- Neural dynamics and brain function 4
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- Neuroscience and Neural Engineering 2
- Neuroscience and Neuropharmacology Research 2
- Co-authors
- Surya Ganguli (6 shared papers)Timothy A. Machado (1 shared paper)Masatoshi Inoue (1 shared paper)Susumu Yoshizawa (1 shared paper)Douglas J. McKnight (1 shared paper)Brandon Benson (1 shared paper)Janelle Shane (1 shared paper)Charu Ramakrishnan (1 shared paper)
- Journals
- Annual Review of Condensed Matter Physics (1 paper)PLoS Computational Biology (1 paper)Cell (1 paper)Science (1 paper)FEBS Letters (1 paper)
- Partner nations
- United StatesIsraelBurundi
In The Last Decade
Jonathan Kadmon
10 papers receiving 723 citations
Jonathan Kadmon's Hit Papers
Peers
Comparison fields: 5 of 103
- Cellular and Molecular Neuroscience 352
- Cognitive Neuroscience 356
- Neurology 78
- Computational Mathematics 5
- Biophysics 45
Countries citing papers authored by Jonathan Kadmon
This map shows the geographic impact of Jonathan Kadmon'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 Jonathan Kadmon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Kadmon more than expected).
Fields of papers citing papers by Jonathan Kadmon
This network shows the impact of papers produced by Jonathan Kadmon. 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 Jonathan Kadmon. The network helps show where Jonathan Kadmon may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Kadmon, 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 | Cortical layer–specific critical dynamics triggering perception Hit paper breakdown → | 2019 | 397 |
| 2 | 2019 | 135 | |
| 3 | 2019 | 133 | |
| 4 | 2007 | 38 | |
| 5 | 2022 | 12 | |
| 6 | 2016 | 12 | |
| 7 | 2019 | 4 | |
| 8 | 2009 | 3 | |
| 9 | 2018 | 2 | |
| 10 | 2025 | 2 |
About Jonathan Kadmon
Jonathan Kadmon is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Artificial Intelligence, Neurology and Statistical and Nonlinear Physics, having authored 10 papers that have together received 738 indexed citations. Recurring topics across this work include Neural dynamics and brain function (4 papers), Vestibular and auditory disorders (3 papers), Neuroscience and Neural Engineering (2 papers), Statistical Mechanics and Entropy (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Neural Networks and Applications (2 papers), Enzyme Structure and Function (1 paper) and Plant and animal studies (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (352 citations), Cognitive Neuroscience (356 citations), Neurology (78 citations), Computational Mathematics (5 citations) and Biophysics (45 citations). Jonathan Kadmon has collaborated with scholars based in United States, Israel and Burundi. Frequent co-authors include Surya Ganguli, Timothy A. Machado, Masatoshi Inoue, Susumu Yoshizawa, Douglas J. McKnight, Brandon Benson, Janelle Shane, Charu Ramakrishnan, Karl Deisseroth and James H. Marshel. Their work appears in journals such as Annual Review of Condensed Matter Physics, PLoS Computational Biology, Cell, Science and FEBS Letters.
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.