Jay Kadis

4 papers and 295 indexed citations i.

About

Jay Kadis is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Artificial Intelligence. According to data from OpenAlex, Jay Kadis has authored 4 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 1 paper in Artificial Intelligence. Recurrent topics in Jay Kadis’s work include Neuroscience and Neuropharmacology Research (2 papers), Ion channel regulation and function (2 papers) and Williams Syndrome Research (1 paper). Jay Kadis is often cited by papers focused on Neuroscience and Neuropharmacology Research (2 papers), Ion channel regulation and function (2 papers) and Williams Syndrome Research (1 paper). Jay Kadis collaborates with scholars based in United States and Canada. Jay Kadis's co-authors include David A. Prince, C. Benninger, Stéphan Eliez, J. Eric Schmitt, Daniel J. Levitin, Vinod Menon, Christopher D. White, Julie R. Korenberg, Allan L. Reiss and Gary H. Glover and has published in prestigious journals such as NeuroImage, Brain Research and Neuroscience Letters.

In The Last Decade

Co-authorship network of co-authors of Jay Kadis i

Fields of papers citing papers by Jay Kadis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Jay Kadis

Since Specialization
Citations

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).

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025