Glen Cook

38 total papers · 484 total citations
8 papers, 100 citations indexed

About

Glen Cook is a scholar working on Surgery, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Glen Cook has authored 8 papers receiving a total of 100 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Molecular Biology. Recurrent topics in Glen Cook's work include Genetic Neurodegenerative Diseases (2 papers), Cardiovascular Syncope and Autonomic Disorders (2 papers) and Traumatic Brain Injury and Neurovascular Disturbances (1 paper). Glen Cook is often cited by papers focused on Genetic Neurodegenerative Diseases (2 papers), Cardiovascular Syncope and Autonomic Disorders (2 papers) and Traumatic Brain Injury and Neurovascular Disturbances (1 paper). Glen Cook collaborates with scholars based in United States and Israel. Glen Cook's co-authors include Paola Sandroni, Jason S. Hawley, Annette E. Fleckenstein, Patti Sullivan, Diana G. Wilkins, Courtney Holmes, Anthony J. Baucum, James W. Gibb, Jill L. King and Glen R. Hanson and has published in prestigious journals such as Neurology, Journal of Pharmacology and Experimental Therapeutics and Environmental Health.

In The Last Decade

Glen Cook

8 papers receiving 99 citations

Author Peers

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

Author Last Decade Papers Cites
Glen Cook 42 30 30 20 14 8 100
Pia von Korn 19 0.5× 37 1.2× 18 0.6× 19 0.9× 16 1.1× 11 123
Toshiaki Ieda 76 1.8× 23 0.8× 22 0.7× 33 1.6× 14 1.0× 8 117
Giuseppe Linsalata 50 1.2× 35 1.2× 11 0.4× 12 0.6× 5 0.4× 8 157
David Antezana 19 0.5× 18 0.6× 51 1.7× 20 1.0× 8 0.6× 6 141
L Lisý 69 1.6× 11 0.4× 9 0.3× 21 1.1× 26 1.9× 10 131
Amber Y. Bo 24 0.6× 13 0.4× 9 0.3× 18 0.9× 23 1.6× 13 228
Sarah Bauer 54 1.3× 11 0.4× 14 0.5× 34 1.7× 54 3.9× 11 174
Suzanne Schol‐Gelok 21 0.5× 7 0.2× 36 1.2× 14 0.7× 32 2.3× 8 114
Julie Niezgoda 38 0.9× 33 1.1× 40 1.3× 60 3.0× 15 1.1× 11 256
Andrzej Urbanik 19 0.5× 11 0.4× 37 1.2× 14 0.7× 36 2.6× 13 123

Countries citing papers authored by Glen Cook

Since Specialization
Citations

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

Fields of papers citing papers by Glen Cook

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Glen Cook

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