Brian M. Radvansky

12 total papers · 514 total citations
10 papers, 377 citations indexed

About

Brian M. Radvansky is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Anesthesiology and Pain Medicine. According to data from OpenAlex, Brian M. Radvansky has authored 10 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 3 papers in Cardiology and Cardiovascular Medicine and 3 papers in Anesthesiology and Pain Medicine. Recurrent topics in Brian M. Radvansky's work include Anesthesia and Neurotoxicity Research (2 papers), Anesthesia and Sedative Agents (2 papers) and Pregnancy and preeclampsia studies (1 paper). Brian M. Radvansky is often cited by papers focused on Anesthesia and Neurotoxicity Research (2 papers), Anesthesia and Sedative Agents (2 papers) and Pregnancy and preeclampsia studies (1 paper). Brian M. Radvansky collaborates with scholars based in United States. Brian M. Radvansky's co-authors include Jean Daniel Eloy, Rong Xiao, Rei-Lin Kuo, Li Zhao, Eddy Arnold, Kalyan Das, G.T. Montelione, Karen Y. Twu, James M. Aramini and Li-Chung Ma and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Anesthesia & Analgesia and BioMed Research International.

In The Last Decade

Brian M. Radvansky

10 papers receiving 363 citations

Author Peers

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

Author Last Decade Papers Cites
Brian M. Radvansky 150 122 109 79 67 10 377
S Belfrage 75 0.5× 40 0.3× 88 0.8× 22 0.3× 31 0.5× 11 381
William Tucker 164 1.1× 93 0.8× 112 1.0× 54 0.7× 34 0.5× 11 383
Rob Spanjersberg 56 0.4× 46 0.4× 39 0.4× 93 1.2× 27 0.4× 10 382
Hans‐Joachim Gramm 108 0.7× 124 1.0× 124 1.1× 44 0.6× 7 0.1× 7 410
Silvia E. Schliamser 109 0.7× 113 0.9× 16 0.1× 38 0.5× 12 0.2× 18 424
Angelo Salerno 97 0.6× 280 2.3× 16 0.1× 27 0.3× 56 0.8× 12 423
R. Harvard Davis 97 0.6× 78 0.6× 10 0.1× 39 0.5× 11 0.2× 15 382
Marvin S. Platt 86 0.6× 46 0.4× 34 0.3× 105 1.3× 9 0.1× 18 418
Apurva Trivedi 119 0.8× 157 1.3× 38 0.3× 53 0.7× 8 0.1× 11 410
Daniel Gennevois 81 0.5× 118 1.0× 77 0.7× 43 0.5× 29 0.4× 11 421

Countries citing papers authored by Brian M. Radvansky

Since Specialization
Citations

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

Fields of papers citing papers by Brian M. Radvansky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian M. Radvansky

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