Jason Beiko

32 total papers · 1.0k total citations
19 papers, 779 citations indexed

About

Jason Beiko is a scholar working on Genetics, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Jason Beiko has authored 19 papers receiving a total of 779 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 6 papers in Cognitive Neuroscience and 5 papers in Molecular Biology. Recurrent topics in Jason Beiko's work include Glioma Diagnosis and Treatment (8 papers), Memory and Neural Mechanisms (6 papers) and Neuroscience and Neuropharmacology Research (5 papers). Jason Beiko is often cited by papers focused on Glioma Diagnosis and Treatment (8 papers), Memory and Neural Mechanisms (6 papers) and Neuroscience and Neuropharmacology Research (5 papers). Jason Beiko collaborates with scholars based in Canada, United States and United Kingdom. Jason Beiko's co-authors include Donald P. Cain, Francis Boon, Elizabeth Hampson, Ian E. McCutcheon, Daniel P. Cahill, Mark R. Gilbert, Raymond Sawaya, Kenneth Aldape, Sujit S. Prabhu and Kenneth R. Hess and has published in prestigious journals such as Journal of Clinical Oncology, Journal of Neuroscience and Cancer Research.

In The Last Decade

Jason Beiko

19 papers receiving 768 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 Beiko 355 198 173 168 125 19 779
Gerald Weber‐Luxenburger 242 0.7× 411 2.1× 320 1.8× 98 0.6× 46 0.4× 14 873
Fernando Fernandes Paiva 70 0.2× 150 0.8× 213 1.2× 101 0.6× 76 0.6× 35 708
Iska Moxon‐Emre 209 0.6× 114 0.6× 84 0.5× 74 0.4× 185 1.5× 30 785
Pamela Snodgrass 160 0.5× 147 0.7× 47 0.3× 179 1.1× 191 1.5× 14 903
Tresa McGranahan 173 0.5× 161 0.8× 18 0.1× 116 0.7× 214 1.7× 28 647
Alfia Khaibullina 174 0.5× 49 0.2× 50 0.3× 285 1.7× 387 3.1× 21 884
Shannon Kelly 83 0.2× 119 0.6× 37 0.2× 188 1.1× 421 3.4× 18 888
Filippo Biamonte 88 0.2× 83 0.4× 24 0.1× 192 1.1× 265 2.1× 28 688
Johannes Peters 92 0.3× 41 0.2× 121 0.7× 69 0.4× 389 3.1× 22 810
Eiji Tada 281 0.8× 42 0.2× 97 0.6× 232 1.4× 145 1.2× 14 785

Countries citing papers authored by Jason Beiko

Since Specialization
Citations

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

Fields of papers citing papers by Jason Beiko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Beiko

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