Brian D. McKenna

13 total papers · 901 total citations
10 papers, 610 citations indexed

About

Brian D. McKenna is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Brian D. McKenna has authored 10 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Infectious Diseases and 3 papers in Epidemiology. Recurrent topics in Brian D. McKenna's work include Antimicrobial Resistance in Staphylococcus (3 papers), Streptococcal Infections and Treatments (3 papers) and Pancreatic function and diabetes (2 papers). Brian D. McKenna is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (3 papers), Streptococcal Infections and Treatments (3 papers) and Pancreatic function and diabetes (2 papers). Brian D. McKenna collaborates with scholars based in United States, Sweden and Taiwan. Brian D. McKenna's co-authors include Roland Stein, Tao Gao, Chenghua Yang, James Nguyen, Tingting Zhang, Maximilian Reichert, Tarjinder Singh, Nicolai M. Doliba, Helena Edlund and Changhong Li and has published in prestigious journals such as Genes & Development, Cell Metabolism and PEDIATRICS.

In The Last Decade

Brian D. McKenna

9 papers receiving 603 citations

Hit Papers

Pdx1 Maintains β Cell Ide... 2014 2026 2018 2022 2014 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
Brian D. McKenna 309 283 220 134 107 10 610
Catherine L. Parrott 159 0.5× 234 0.8× 97 0.4× 142 1.1× 21 0.2× 14 566
Maren Pflueger 204 0.7× 203 0.7× 338 1.5× 228 1.7× 59 0.6× 14 620
Aimon K. Alkanani 165 0.5× 318 1.1× 317 1.4× 177 1.3× 77 0.7× 14 656
Marjaana Mäkinen 104 0.3× 108 0.4× 197 0.9× 146 1.1× 99 0.9× 17 629
Victoria J. Bartlett 182 0.6× 283 1.0× 132 0.6× 171 1.3× 72 0.7× 8 696
Meghan L. Marré 231 0.7× 126 0.4× 319 1.4× 153 1.1× 29 0.3× 14 613
Marie-Anne Maubert 103 0.3× 320 1.1× 77 0.3× 45 0.3× 62 0.6× 17 534
Guy Bottu 410 1.3× 266 0.9× 296 1.3× 178 1.3× 10 0.1× 12 661
Junko Nishitani 156 0.5× 288 1.0× 159 0.7× 58 0.4× 37 0.3× 18 620
Ryan Dickerson 32 0.1× 317 1.1× 145 0.7× 115 0.9× 58 0.5× 15 661

Countries citing papers authored by Brian D. McKenna

Since Specialization
Citations

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

Fields of papers citing papers by Brian D. McKenna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian D. McKenna

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