Jay Kadis
Impact in
- Developmental Neuroscience top 5%
- Williams Syndrome Research
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- Neuroscience and Neuropharmacology Research
- Neuroscience and Neural Engineering
Papers in
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- Neuroscience and Neuropharmacology Research 2
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- Neural dynamics and brain function 1
- Co-authors
- David A. Prince (3 shared papers)Christian K. Benninger (2 shared papers)Daniel J. Levitin (1 shared paper)Ursula Bellugi (1 shared paper)Julie R. Korenberg (1 shared paper)J. Eric Schmitt (1 shared paper)Gary H. Glover (1 shared paper)Allan L. Reiss (1 shared paper)
- Journals
- Brain Research (1 paper)NeuroImage (1 paper)Neuroscience Letters (1 paper)Elsevier eBooks (2 papers)CERN Document Server (European Organization for Nuclear Research) (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Jay Kadis
7 papers receiving 329 citations
Peers
Comparison fields: 5 of 63
- Developmental Neuroscience 78
- Cellular and Molecular Neuroscience 221
- Sensory Systems 29
- Cognitive Neuroscience 114
- Psychiatry and Mental health 44
Countries citing papers authored by Jay Kadis
This map shows the geographic impact of Jay Kadis'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 Jay Kadis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Kadis more than expected).
Fields of papers citing papers by Jay Kadis
This network shows the impact of papers produced by Jay Kadis. 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 Jay Kadis. The network helps show where Jay Kadis may publish in the future.
Co-authors
The 14 scholars most cited alongside Jay Kadis, 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 | 1980 | 199 | |
| 2 | 2002 | 115 | |
| 3 | 1988 | 37 | |
| 4 | 1981 | 9 | |
| 5 | 2012 | 4 | |
| 6 | 2012 | 2 | |
| 7 | Effect of Vibration Treatment on Guitar Tone: A Comparative Study | 2014 | 1 |
| 8 | 2012 | 0 |
About Jay Kadis
Jay Kadis is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Developmental Neuroscience, Electrochemistry and Complementary and alternative medicine, having authored 8 papers that have together received 367 indexed citations. Recurring topics across this work include Ion channel regulation and function (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Electrochemical Analysis and Applications (1 paper), Coronary Artery Anomalies (1 paper), Music Technology and Sound Studies (1 paper), Medicinal Plants and Neuroprotection (1 paper), Experience-Based Knowledge Management (1 paper) and Neural dynamics and brain function (1 paper). The work is most often cited by research in Developmental Neuroscience (78 citations), Cellular and Molecular Neuroscience (221 citations), Sensory Systems (29 citations), Cognitive Neuroscience (114 citations) and Psychiatry and Mental health (44 citations). Jay Kadis has collaborated with scholars based in United States and Canada. Frequent co-authors include David A. Prince, Christian K. Benninger, Daniel J. Levitin, Ursula Bellugi, Julie R. Korenberg, J. Eric Schmitt, Gary H. Glover, Allan L. Reiss, Stéphan Eliez and Christopher David White. Their work appears in journals such as Brain Research, NeuroImage, Neuroscience Letters, Elsevier eBooks and CERN Document Server (European Organization for Nuclear Research).
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.