Brian T. Donovan

19 total papers · 774 total citations
10 papers, 252 citations indexed

About

Brian T. Donovan is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Brian T. Donovan has authored 10 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cardiology and Cardiovascular Medicine, 5 papers in Molecular Biology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Brian T. Donovan's work include Ion channel regulation and function (3 papers), Cardiac electrophysiology and arrhythmias (3 papers) and Neuroscience and Neural Engineering (3 papers). Brian T. Donovan is often cited by papers focused on Ion channel regulation and function (3 papers), Cardiac electrophysiology and arrhythmias (3 papers) and Neuroscience and Neural Engineering (3 papers). Brian T. Donovan collaborates with scholars based in United States and United Kingdom. Brian T. Donovan's co-authors include Sheryl Coombs, Christopher B. Braun, Claire Townsend, Steven Novick, Michael Szelke, Butrus Atrash, Allan Hallett, James J. Morton, M. Tree and Anthony F. Lever and has published in prestigious journals such as Journal of Experimental Biology, European Journal of Pharmacology and Journal of Hypertension.

In The Last Decade

Brian T. Donovan

10 papers receiving 246 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 T. Donovan 110 74 52 48 29 10 252
Maxim A. Terpilowski 106 1.0× 12 0.2× 4 0.1× 22 0.5× 24 0.8× 10 330
Kaveh Rayani 158 1.4× 143 1.9× 14 0.3× 33 0.7× 42 1.4× 17 286
Kuenhi Tsai 81 0.7× 11 0.1× 21 0.4× 65 1.4× 8 0.3× 18 270
Christopher W. Coates 48 0.4× 8 0.1× 57 1.1× 16 0.3× 101 3.5× 14 206
Chau H. Wu 204 1.9× 28 0.4× 8 0.2× 8 0.2× 104 3.6× 10 319
Björn Platzack 31 0.3× 26 0.4× 13 0.3× 71 1.5× 40 1.4× 12 181
Mario Altamirano 104 0.9× 13 0.2× 30 0.6× 13 0.3× 161 5.6× 9 319
Julia R. MacDonald 61 0.6× 14 0.2× 23 0.4× 110 2.3× 20 0.7× 10 283
Juan Carlos Fasciolo 56 0.5× 67 0.9× 3 0.1× 38 0.8× 31 1.1× 17 234
Shallee T. Page 121 1.1× 28 0.4× 20 0.4× 17 0.4× 3 0.1× 10 196

Countries citing papers authored by Brian T. Donovan

Since Specialization
Citations

This map shows the geographic impact of Brian T. Donovan'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 T. Donovan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian T. Donovan more than expected).

Fields of papers citing papers by Brian T. Donovan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian T. Donovan

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