Jason Beiko

21 papers receiving 835 citations

Peers

Jason Beiko
Comparison fields: 5 of 63
  • Genetics 376
  • Behavioral Neuroscience 33
  • Cognitive Neuroscience 188
  • Developmental Neuroscience 23
  • Cellular and Molecular Neuroscience 62
Replace Alice Buonfiglioli with:
Alice Buonfiglioli Germany
Francine M. Jodelka United States
Ryan M. Shepard United States
Marta Gritti Italy
Klaus Wanisch United Kingdom
Luciano Marpegán Argentina
Cassidy Hinman United States
Áttila Rácz Germany
Delia Gagliardi Italy
Xiaowei Chen China
Jason Beiko relative to Alice Buonfiglioli Germany Alice Buonfiglioli's profile →
Citations per field
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Alice Buonfiglioli · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Jason Beiko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jason Beiko Line = papers co-authored together Jason Beiko links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013393
2 2003182
3 199959
4 199758
5 201427
6 201725
7 202121
8 201819
9 199715
10 200213
11 19988
12 20057
13 20216
14 20256
15 20184
16 20203
17 20222
18 20262
19 20121
20 20131

About Jason Beiko

Jason Beiko is a scholar working on Genetics, Cognitive Neuroscience, Neurology, Automotive Engineering and Behavioral Neuroscience, having authored 22 papers that have together received 853 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (11 papers), Memory and Neural Mechanisms (6 papers), Neurosurgical Procedures and Complications (4 papers), Spatial Cognition and Navigation (2 papers), Intraoperative Neuromonitoring and Anesthetic Effects (2 papers), Neuroscience and Neuropharmacology Research (1 paper), Protein Kinase Regulation and GTPase Signaling (1 paper) and HER2/EGFR in Cancer Research (1 paper). The work is most often cited by research in Genetics (376 citations), Behavioral Neuroscience (33 citations), Cognitive Neuroscience (188 citations), Developmental Neuroscience (23 citations) and Cellular and Molecular Neuroscience (62 citations). Jason Beiko has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Donald Peter Cain, Francis H. Boon, Elizabeth Hampson, Kenneth Aldape, Mark R. Gilbert, Raymond A. Sawaya, Daniel P. Cahill, Ian E. McCutcheon, Sujit S. Prabhu and Frederick F. Lang. Their work appears in journals such as Neuro-Oncology, Molecular Oncology, Behavioural Brain Research, Journal of Neurosurgical Anesthesiology and The Journal of Pathology.

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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