J. Michael Williams

43 total papers · 876 total citations
26 papers, 527 citations indexed

About

J. Michael Williams is a scholar working on Cognitive Neuroscience, Epidemiology and Genetics. According to data from OpenAlex, J. Michael Williams has authored 26 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 6 papers in Epidemiology and 4 papers in Genetics. Recurrent topics in J. Michael Williams's work include Traumatic Brain Injury Research (6 papers), Cancer-related cognitive impairment studies (4 papers) and Glioma Diagnosis and Treatment (4 papers). J. Michael Williams is often cited by papers focused on Traumatic Brain Injury Research (6 papers), Cancer-related cognitive impairment studies (4 papers) and Glioma Diagnosis and Treatment (4 papers). J. Michael Williams collaborates with scholars based in United States. J. Michael Williams's co-authors include Feroze B. Mohamed, John C. Haselgrove, Bassam A. Assaf, Scott H. Faro, Karine Abou Khaled, David A. Kareken, Michael Selby, Amanda Dawson, Eric G. Mohler and Bennet Givens and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neurology and Journal of neurosurgery.

In The Last Decade

J. Michael Williams

25 papers receiving 487 citations

Author Peers

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

Author Last Decade Papers Cites
J. Michael Williams 142 124 106 102 98 26 527
Nevena Simić 235 1.7× 50 0.4× 121 1.1× 38 0.4× 109 1.1× 18 517
Peter L. Stavinoha 85 0.6× 122 1.0× 63 0.6× 29 0.3× 73 0.7× 29 548
Madeleine L. Werhane 269 1.9× 139 1.1× 90 0.8× 96 0.9× 198 2.0× 23 559
Gian Paolo Ramelli 83 0.6× 192 1.5× 91 0.9× 25 0.2× 54 0.6× 38 616
Cady Block 146 1.0× 174 1.4× 144 1.4× 19 0.2× 108 1.1× 36 510
Rachel K. Peterson 52 0.4× 70 0.6× 63 0.6× 48 0.5× 58 0.6× 48 522
Ashley L. Ware 172 1.2× 39 0.3× 89 0.8× 121 1.2× 116 1.2× 36 529
Douglas Johnson‐Greene 170 1.2× 135 1.1× 106 1.0× 20 0.2× 194 2.0× 28 577
M.C. Henry-Feugeas 100 0.7× 80 0.6× 54 0.5× 125 1.2× 134 1.4× 24 593
James B. Pinkston 83 0.6× 104 0.8× 166 1.6× 60 0.6× 61 0.6× 25 517

Countries citing papers authored by J. Michael Williams

Since Specialization
Citations

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

Fields of papers citing papers by J. Michael Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Michael Williams. 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 J. Michael Williams. The network helps show where J. Michael Williams may publish in the future.

Co-authorship network of co-authors of J. Michael Williams

This figure shows the co-authorship network connecting the top 25 collaborators of J. Michael Williams. A scholar is included among the top collaborators of J. Michael Williams 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 J. Michael Williams. J. Michael Williams 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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