Thomas S. Dina

19 total papers · 2.7k total citations
18 papers, 2.0k citations indexed

About

Thomas S. Dina is a scholar working on Surgery, Pathology and Forensic Medicine and Neurology. According to data from OpenAlex, Thomas S. Dina has authored 18 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Surgery, 9 papers in Pathology and Forensic Medicine and 4 papers in Neurology. Recurrent topics in Thomas S. Dina's work include Spine and Intervertebral Disc Pathology (7 papers), Cervical and Thoracic Myelopathy (4 papers) and Anesthesia and Pain Management (3 papers). Thomas S. Dina is often cited by papers focused on Spine and Intervertebral Disc Pathology (7 papers), Cervical and Thoracic Myelopathy (4 papers) and Anesthesia and Pain Management (3 papers). Thomas S. Dina collaborates with scholars based in United States. Thomas S. Dina's co-authors include Scott D. Boden, David O. Davis, Sam W. Wiesel, Nicholas J. Patronas, Edward R. Laws, James C. Vailas, Panos A. Labropoulos, Alan S. Hilibrand, David W. Stoller and Steven Brown and has published in prestigious journals such as Radiology, Journal of Hepatology and Clinical Orthopaedics and Related Research.

In The Last Decade

Thomas S. Dina

18 papers receiving 1.9k citations

Hit Papers

Abnormal Magnetic-Resonan... 1990 2026 2002 2014 1990 1990 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Thomas S. Dina 1.3k 1.1k 831 330 173 18 2.0k
James M. Morris 1.3k 1.0× 1.3k 1.2× 1.1k 1.3× 660 2.0× 194 1.1× 59 2.8k
George Sapkas 1.0k 0.8× 1.4k 1.3× 351 0.4× 108 0.3× 92 0.5× 72 1.8k
Sanjay Yadla 1.2k 0.9× 1.6k 1.4× 277 0.3× 138 0.4× 293 1.7× 40 2.5k
Anthony J. Bianco 305 0.2× 1.1k 1.0× 212 0.3× 125 0.4× 154 0.9× 39 1.6k
Rae R. Jacobs 1.1k 0.9× 1.4k 1.3× 376 0.5× 228 0.7× 175 1.0× 55 1.9k
Gen Niwayama 592 0.5× 1.3k 1.2× 141 0.2× 148 0.4× 248 1.4× 56 2.8k
John C. Y. Leong 908 0.7× 1.2k 1.1× 444 0.5× 245 0.7× 74 0.4× 48 1.8k
Peter D. Pizzutillo 630 0.5× 2.0k 1.9× 276 0.3× 129 0.4× 422 2.4× 56 2.4k
Robert C. Mulholland 1.3k 1.0× 1.3k 1.2× 823 1.0× 266 0.8× 51 0.3× 59 1.8k
Kalevi Österman 901 0.7× 1.6k 1.5× 619 0.7× 557 1.7× 227 1.3× 74 2.5k

Countries citing papers authored by Thomas S. Dina

Since Specialization
Citations

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

Fields of papers citing papers by Thomas S. Dina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas S. Dina

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