Thomas J. DeGraba

84 total papers · 4.2k total citations
58 papers, 3.1k citations indexed

About

Thomas J. DeGraba is a scholar working on Epidemiology, Molecular Biology and Neurology. According to data from OpenAlex, Thomas J. DeGraba has authored 58 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Epidemiology, 10 papers in Molecular Biology and 10 papers in Neurology. Recurrent topics in Thomas J. DeGraba's work include Traumatic Brain Injury Research (14 papers), Acute Ischemic Stroke Management (10 papers) and Posttraumatic Stress Disorder Research (10 papers). Thomas J. DeGraba is often cited by papers focused on Traumatic Brain Injury Research (14 papers), Acute Ischemic Stroke Management (10 papers) and Posttraumatic Stress Disorder Research (10 papers). Thomas J. DeGraba collaborates with scholars based in United States, Netherlands and Hong Kong. Thomas J. DeGraba's co-authors include Mark J. Alberts, Robert J. Adams, Antonio Culebras, Cheryl Bushnell, Lawrence J. Appel, John M. Hallenbeck, George Howard, Lawrence Brass, Larry B. Goldstein and J.V. Nixon and has published in prestigious journals such as Neurology, Stroke and Annals of Neurology.

In The Last Decade

Thomas J. DeGraba

57 papers receiving 3.0k citations

Hit Papers

Primary Prevention of Isc... 2006 2026 2012 2019 2006 250 500 750 1000

Author Peers

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

Author Last Decade Papers Cites
Thomas J. DeGraba 1.4k 705 654 590 418 58 3.1k
Christof Kessler 1.4k 0.9× 934 1.3× 727 1.1× 756 1.3× 452 1.1× 100 4.7k
Karl Bjørnar Alstadhaug 2.0k 1.4× 957 1.4× 1.1k 1.6× 704 1.2× 320 0.8× 57 4.4k
Tomás Segura 1.0k 0.7× 888 1.3× 822 1.3× 444 0.8× 372 0.9× 112 2.9k
Christina Jern 1.1k 0.7× 335 0.5× 553 0.8× 710 1.2× 544 1.3× 141 3.3k
Mónica Millán 1.7k 1.2× 749 1.1× 947 1.4× 677 1.1× 619 1.5× 93 3.9k
Anna Basile 1.0k 0.7× 449 0.6× 660 1.0× 638 1.1× 722 1.7× 70 3.3k
Stephen Read 1.1k 0.8× 632 0.9× 523 0.8× 233 0.4× 362 0.9× 85 3.9k
Thomas Gattringer 1.2k 0.8× 1.2k 1.8× 617 0.9× 322 0.5× 528 1.3× 110 3.4k
Katarina Jood 932 0.6× 504 0.7× 400 0.6× 444 0.8× 392 0.9× 123 2.7k
Ana Rodríguez-Campello 1.6k 1.1× 806 1.1× 907 1.4× 706 1.2× 494 1.2× 106 3.0k

Countries citing papers authored by Thomas J. DeGraba

Since Specialization
Citations

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

Fields of papers citing papers by Thomas J. DeGraba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas J. DeGraba

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