Jason S. Bant

10 total papers · 533 total citations
8 papers, 340 citations indexed

About

Jason S. Bant is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Jason S. Bant has authored 8 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 4 papers in Molecular Biology and 3 papers in Cognitive Neuroscience. Recurrent topics in Jason S. Bant's work include Neuroscience and Neuropharmacology Research (5 papers), Ion channel regulation and function (3 papers) and Memory and Neural Mechanisms (3 papers). Jason S. Bant is often cited by papers focused on Neuroscience and Neuropharmacology Research (5 papers), Ion channel regulation and function (3 papers) and Memory and Neural Mechanisms (3 papers). Jason S. Bant collaborates with scholars based in United States. Jason S. Bant's co-authors include Indira M. Raman, Kiah Hardcastle, Lisa M. Giocomo, Amanda H. Lewis, Caitlin S. Mallory, Seo Yeon Yoon, Nicole Koutsodendris, Yadong Huang, Maxine Nelson and Kelly A. Zalocusky and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Nature Neuroscience.

In The Last Decade

Jason S. Bant

8 papers receiving 338 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jason S. Bant 174 167 78 75 61 8 340
Kunio Kato 196 1.1× 208 1.2× 57 0.7× 67 0.9× 80 1.3× 6 381
Jeffrey Vernon 179 1.0× 177 1.1× 83 1.1× 132 1.8× 42 0.7× 11 386
Alberto L. Politoff 201 1.2× 175 1.0× 71 0.9× 39 0.5× 38 0.6× 16 396
Marketta Bobik 191 1.1× 126 0.8× 27 0.3× 106 1.4× 64 1.0× 8 343
Annette C. Gray 156 0.9× 134 0.8× 148 1.9× 30 0.4× 49 0.8× 7 338
Antonia M. Milroy 215 1.2× 240 1.4× 72 0.9× 26 0.3× 48 0.8× 13 357
Minerva Contreras 269 1.5× 134 0.8× 30 0.4× 60 0.8× 57 0.9× 15 380
Huaxia Tong 147 0.8× 187 1.1× 109 1.4× 95 1.3× 44 0.7× 7 393
Robert K. S. Lim 66 0.4× 137 0.8× 73 0.9× 97 1.3× 28 0.5× 9 377
Junko Matsuura 238 1.4× 175 1.0× 51 0.7× 35 0.5× 27 0.4× 10 387

Countries citing papers authored by Jason S. Bant

Since Specialization
Citations

This map shows the geographic impact of Jason S. Bant'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 Jason S. Bant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason S. Bant more than expected).

Fields of papers citing papers by Jason S. Bant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason S. Bant. 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 Jason S. Bant. The network helps show where Jason S. Bant may publish in the future.

Co-authorship network of co-authors of Jason S. Bant

This figure shows the co-authorship network connecting the top 25 collaborators of Jason S. Bant. A scholar is included among the top collaborators of Jason S. Bant based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jason S. Bant. Jason S. Bant is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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