Jason Cooper

30 total papers · 1.4k total citations
13 papers, 737 citations indexed

About

Jason Cooper is a scholar working on Molecular Biology, Aging and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jason Cooper has authored 13 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Aging and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jason Cooper's work include Genetics, Aging, and Longevity in Model Organisms (9 papers), Mitochondrial Function and Pathology (6 papers) and Genetic Neurodegenerative Diseases (3 papers). Jason Cooper is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (9 papers), Mitochondrial Function and Pathology (6 papers) and Genetic Neurodegenerative Diseases (3 papers). Jason Cooper collaborates with scholars based in United States, Canada and Germany. Jason Cooper's co-authors include Jeremy M. Van Raamsdonk, Megan M. Senchuk, Emily Machiela, Dylan J. Dues, Katie Spielbauer, Claire Schaar, Siegfried Hekimi, Monica Driscoll, Meghan Lee Arnold and Barth D. Grant and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Scientific Reports.

In The Last Decade

Jason Cooper

13 papers receiving 732 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 Cooper 372 344 166 140 124 13 737
Emily Machiela 429 1.2× 255 0.7× 175 1.1× 112 0.8× 147 1.2× 11 714
Adam J. Harrington 344 0.9× 192 0.6× 134 0.8× 144 1.0× 138 1.1× 14 744
Arnaud Tauffenberger 371 1.0× 195 0.6× 156 0.9× 166 1.2× 111 0.9× 17 762
Suvi Vartiainen 338 0.9× 240 0.7× 118 0.7× 173 1.2× 174 1.4× 13 690
Waijiao Cai 316 0.8× 171 0.5× 120 0.7× 74 0.5× 45 0.4× 23 656
Daniel Edgar 550 1.5× 217 0.6× 254 1.5× 52 0.4× 65 0.5× 15 876
Patricija van Oosten‐Hawle 415 1.1× 221 0.6× 277 1.7× 128 0.9× 62 0.5× 23 728
Jonathan J. Halloran 301 0.8× 190 0.6× 323 1.9× 43 0.3× 112 0.9× 10 842
Arpita Ray 229 0.6× 145 0.4× 126 0.8× 136 1.0× 93 0.8× 19 748
Danielle Crippen 393 1.1× 109 0.3× 187 1.1× 45 0.3× 185 1.5× 12 665

Countries citing papers authored by Jason Cooper

Since Specialization
Citations

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

Fields of papers citing papers by Jason Cooper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Cooper

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