Brian C. McNamara

19 total papers · 699 total citations
15 papers, 575 citations indexed

About

Brian C. McNamara is a scholar working on Pharmacology, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Brian C. McNamara has authored 15 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pharmacology, 9 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Molecular Biology. Recurrent topics in Brian C. McNamara's work include Pharmacogenetics and Drug Metabolism (9 papers), Hormonal and reproductive studies (8 papers) and Hormonal Regulation and Hypertension (6 papers). Brian C. McNamara is often cited by papers focused on Pharmacogenetics and Drug Metabolism (9 papers), Hormonal and reproductive studies (8 papers) and Hormonal Regulation and Hypertension (6 papers). Brian C. McNamara collaborates with scholars based in United States, United Kingdom and Japan. Brian C. McNamara's co-authors include Colin R. Jefcoate, Takeshi Yamazaki, Michael J. Dibartolomeis, Irina Artemenko, David A. Stansfield, Keith E. Suckling, Douglas R. Tocher, G.S. Boyd, Christopher T. Privalle and Renu A. Kowluru and has published in prestigious journals such as FEBS Letters, Archives of Biochemistry and Biophysics and Molecular and Cellular Endocrinology.

In The Last Decade

Brian C. McNamara

15 papers receiving 554 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 C. McNamara 276 254 143 81 76 15 575
Irina Artemenko 264 1.0× 170 0.7× 128 0.9× 28 0.3× 46 0.6× 11 497
D. Mahaffee 262 0.9× 238 0.9× 97 0.7× 61 0.8× 196 2.6× 18 631
I. D. K. Halkerston 206 0.7× 176 0.7× 75 0.5× 49 0.6× 41 0.5× 28 498
F. W. Kahnt 233 0.8× 245 1.0× 85 0.6× 83 1.0× 33 0.4× 19 505
Gaby Hofer 249 0.9× 209 0.8× 132 0.9× 91 1.1× 47 0.6× 15 595
Lise Barnard 199 0.7× 253 1.0× 109 0.8× 40 0.5× 31 0.4× 10 526
Ana F. Castillo 389 1.4× 93 0.4× 91 0.6× 28 0.3× 41 0.5× 27 633
Elizabeth S. Baranowski 177 0.6× 228 0.9× 89 0.6× 37 0.5× 47 0.6× 14 543
Jennivine Tsao 342 1.2× 149 0.6× 184 1.3× 17 0.2× 37 0.5× 27 565
Alain Fleury 313 1.1× 165 0.6× 99 0.7× 47 0.6× 20 0.3× 16 540

Countries citing papers authored by Brian C. McNamara

Since Specialization
Citations

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

Fields of papers citing papers by Brian C. McNamara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian C. McNamara

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