Jonathan Kadmon

1.3k citations
10 papers · 689 indexed · 1 hit paper · h-index 6

Impact in

Papers in

Jonathan Kadmon

9 papers receiving 674 citations

Hit Papers

Cortical layer–specific critical dynamics triggering perception 2019 · 364 citations
3642019202620212023100200300

Peers

Jonathan Kadmon
Comparison fields: 5 of 100
  • Cellular and Molecular Neuroscience 334
  • Cognitive Neuroscience 351
  • Neurology 74
  • Computational Mathematics 5
  • Biophysics 41
Replace Timothy A. Zolnik with:
Timothy A. Zolnik Germany
Pierre Yger France
Diek W. Wheeler United States
Klaus M. Stiefel United States
Данко Георгиев United States
Robert A. McDougal United States
Henry Markram Switzerland
Baktash Babadi United States
Eugenio Piasini United States
Athanasia Papoutsi Greece
Jonathan Kadmon relative to Timothy A. Zolnik Germany Timothy A. Zolnik's profile →
Citations per field
00.5×1.5×1.9×
Timothy A. Zolnik · 1×
Citations per year

Countries citing papers authored by Jonathan Kadmon

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Jonathan Kadmon Line = papers co-authored together Jonathan Kadmon links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 20250
2 202211
3
Cortical layer–specific critical dynamics triggering perception
Hit paper breakdown →
2019364
4 2019127
5 2019128
6 20194
7 20182
8 201612
9 20093
10 200738

About Jonathan Kadmon

Jonathan Kadmon is a scholar working on Computational Mathematics, Neurology, Cognitive Neuroscience, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics, having authored 10 papers that have together received 689 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), Neural Networks and Applications (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Statistical Mechanics and Entropy (2 papers), Motor Control and Adaptation (1 paper) and Photoreceptor and optogenetics research (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (334 citations), Cognitive Neuroscience (351 citations), Neurology (74 citations), Computational Mathematics (5 citations) and Biophysics (41 citations). Jonathan Kadmon has collaborated with scholars based in United States, Israel and France. Frequent co-authors include Surya Ganguli, Brandon Benson, James H. Marshel, Hideaki Kato, Charu Ramakrishnan, Timothy A. Machado, Masatoshi Inoue, Karl Deisseroth, Douglas J. McKnight and Janelle Shane. Their work appears in journals such as PLoS Computational Biology, FEBS Letters, Science, Annual Review of Condensed Matter Physics and Nature Communications.

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.

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