George J. Wan

120 total papers · 3.2k total citations
91 papers, 2.4k citations indexed

About

George J. Wan is a scholar working on Surgery, Rheumatology and Neurology. According to data from OpenAlex, George J. Wan has authored 91 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Surgery, 17 papers in Rheumatology and 15 papers in Neurology. Recurrent topics in George J. Wan's work include Peripheral Neuropathies and Disorders (12 papers), Anesthesia and Pain Management (11 papers) and Pain Management and Opioid Use (10 papers). George J. Wan is often cited by papers focused on Peripheral Neuropathies and Disorders (12 papers), Anesthesia and Pain Management (11 papers) and Pain Management and Opioid Use (10 papers). George J. Wan collaborates with scholars based in United States, Belgium and Canada. George J. Wan's co-authors include Mark Olfson, Steven C. Marcus, Michael Tedeschi, Alan G. White, J. Bradford Rice, Winnie W. Nelson, Lauren M. Scarpati, An T. Pham, Michael L. Reed and Jason E. Kemner and has published in prestigious journals such as PLoS ONE, American Journal of Psychiatry and American Journal of Obstetrics and Gynecology.

In The Last Decade

George J. Wan

83 papers receiving 2.2k citations

Hit Papers

Long-term Systemic Cortic... 2017 2026 2020 2023 2017 100 200 300

Author Peers

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

Author Last Decade Papers Cites
George J. Wan 720 465 324 307 253 91 2.4k
Christian Ruckes 332 0.5× 421 0.9× 250 0.8× 296 1.0× 435 1.7× 100 2.3k
Scott Segal 631 0.9× 1.3k 2.8× 434 1.3× 422 1.4× 186 0.7× 130 3.2k
Alan Brnabic 782 1.1× 399 0.9× 260 0.8× 272 0.9× 142 0.6× 92 3.1k
Ryan N. Hansen 679 0.9× 331 0.7× 236 0.7× 115 0.4× 185 0.7× 101 1.8k
Maida Sewitch 375 0.5× 401 0.9× 442 1.4× 246 0.8× 735 2.9× 103 3.0k
Barbara Napolitano 565 0.8× 319 0.7× 469 1.4× 226 0.7× 112 0.4× 65 2.7k
James G. Linakis 236 0.3× 299 0.6× 473 1.5× 342 1.1× 500 2.0× 96 2.3k
John T. Sullivan 229 0.3× 716 1.5× 432 1.3× 256 0.8× 517 2.0× 50 2.8k
Amy J. Hoffman 425 0.6× 215 0.5× 176 0.5× 471 1.5× 94 0.4× 43 2.1k
Elvira V. Lang 330 0.5× 816 1.8× 165 0.5× 470 1.5× 94 0.4× 113 2.8k

Countries citing papers authored by George J. Wan

Since Specialization
Citations

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

Fields of papers citing papers by George J. Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George J. Wan

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