David M. Yurek

52 total papers · 2.0k total citations
47 papers, 1.7k citations indexed

About

David M. Yurek is a scholar working on Cellular and Molecular Neuroscience, Neurology and Developmental Neuroscience. According to data from OpenAlex, David M. Yurek has authored 47 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Cellular and Molecular Neuroscience, 19 papers in Neurology and 17 papers in Developmental Neuroscience. Recurrent topics in David M. Yurek's work include Nerve injury and regeneration (24 papers), Neurogenesis and neuroplasticity mechanisms (17 papers) and Parkinson's Disease Mechanisms and Treatments (14 papers). David M. Yurek is often cited by papers focused on Nerve injury and regeneration (24 papers), Neurogenesis and neuroplasticity mechanisms (17 papers) and Parkinson's Disease Mechanisms and Treatments (14 papers). David M. Yurek collaborates with scholars based in United States, Sweden and Canada. David M. Yurek's co-authors include Anita Fletcher‐Turner, Susan B. Hipkens, John R. Sladek, John R. Sladek, Wayne A. Cass, Stanley J. Wiegand, Timothy J. Collier, Anita Fletcher, Linas Padegimas and Mark J. Cooper and has published in prestigious journals such as Journal of Neuroscience, The Journal of Comparative Neurology and Annual Review of Neuroscience.

In The Last Decade

David M. Yurek

47 papers receiving 1.6k citations

Author Peers

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

Author Last Decade Papers Cites
David M. Yurek 1.1k 582 530 402 168 47 1.7k
Yasuyuki Miyoshi 1.0k 1.0× 594 1.0× 616 1.2× 498 1.2× 120 0.7× 86 2.3k
Laurent Lescaudron 799 0.8× 405 0.7× 951 1.8× 274 0.7× 183 1.1× 48 2.0k
Hans Rudolf Widmer 839 0.8× 414 0.7× 718 1.4× 444 1.1× 114 0.7× 82 2.1k
J Wong 1.1k 1.1× 470 0.8× 731 1.4× 330 0.8× 142 0.8× 31 1.8k
Hoi Sang U 666 0.6× 318 0.5× 487 0.9× 348 0.9× 136 0.8× 44 1.8k
Morten Blaabjerg 542 0.5× 592 1.0× 441 0.8× 210 0.5× 108 0.6× 65 1.6k
Sharon Vinsant 965 0.9× 480 0.8× 618 1.2× 465 1.2× 236 1.4× 22 1.8k
John W. Commissiong 1.3k 1.2× 353 0.6× 600 1.1× 318 0.8× 165 1.0× 49 2.1k
Alana C. Conti 649 0.6× 468 0.8× 617 1.2× 315 0.8× 210 1.3× 43 1.9k
Alexander Parsadanian 1.1k 1.1× 566 1.0× 702 1.3× 558 1.4× 58 0.3× 22 2.1k

Countries citing papers authored by David M. Yurek

Since Specialization
Citations

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

Fields of papers citing papers by David M. Yurek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M. Yurek. 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 David M. Yurek. The network helps show where David M. Yurek may publish in the future.

Co-authorship network of co-authors of David M. Yurek

This figure shows the co-authorship network connecting the top 25 collaborators of David M. Yurek. A scholar is included among the top collaborators of David M. Yurek 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 David M. Yurek. David M. Yurek 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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