Jason A. Corsa

21 total papers · 566 total citations
12 papers, 350 citations indexed

About

Jason A. Corsa is a scholar working on Physiology, Pharmacology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jason A. Corsa has authored 12 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Physiology, 6 papers in Pharmacology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jason A. Corsa's work include Alzheimer's disease research and treatments (9 papers), Cholinesterase and Neurodegenerative Diseases (6 papers) and Computational Drug Discovery Methods (4 papers). Jason A. Corsa is often cited by papers focused on Alzheimer's disease research and treatments (9 papers), Cholinesterase and Neurodegenerative Diseases (6 papers) and Computational Drug Discovery Methods (4 papers). Jason A. Corsa collaborates with scholars based in United States. Jason A. Corsa's co-authors include Donna M. Barten, Craig Polson, Valerie Guss, Mark D. Lindner, John B. Hogan, Barbara Robertson, Kevin W. Gillman, Valentin K. Gribkoff, Donald B. Hodges and Susan B. Roberts and has published in prestigious journals such as Journal of Pharmacology and Experimental Therapeutics, Psychopharmacology and Behavioural Brain Research.

In The Last Decade

Jason A. Corsa

12 papers receiving 341 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 A. Corsa 159 130 127 126 75 12 350
Gareth Maher‐Edwards 95 0.6× 74 0.6× 147 1.2× 116 0.9× 65 0.9× 16 386
Ryouta Maeda 145 0.9× 130 1.0× 76 0.6× 139 1.1× 46 0.6× 9 351
Shigeru Akasofu 117 0.7× 90 0.7× 174 1.4× 143 1.1× 60 0.8× 10 391
Natalia Malikowska‐Racia 52 0.3× 119 0.9× 102 0.8× 97 0.8× 48 0.6× 29 368
T. P. Serkova 117 0.7× 84 0.6× 113 0.9× 141 1.1× 29 0.4× 21 383
Christopher J. Ladner 144 0.9× 139 1.1× 109 0.9× 232 1.8× 36 0.5× 7 365
Richard Loeloff 209 1.3× 123 0.9× 104 0.8× 140 1.1× 71 0.9× 5 368
Q.-X. Li 207 1.3× 110 0.8× 109 0.9× 138 1.1× 41 0.5× 10 385
June Sonnenberg‐Reines 259 1.6× 85 0.7× 125 1.0× 131 1.0× 74 1.0× 8 362
Manuela Prokesch 234 1.5× 75 0.6× 69 0.5× 165 1.3× 63 0.8× 11 363

Countries citing papers authored by Jason A. Corsa

Since Specialization
Citations

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

Fields of papers citing papers by Jason A. Corsa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason A. Corsa

This figure shows the co-authorship network connecting the top 25 collaborators of Jason A. Corsa. A scholar is included among the top collaborators of Jason A. Corsa 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 A. Corsa. Jason A. Corsa 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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