Brian T. Emmer

53 total papers · 1.0k total citations
26 papers, 632 citations indexed

About

Brian T. Emmer is a scholar working on Molecular Biology, Epidemiology and Cell Biology. According to data from OpenAlex, Brian T. Emmer has authored 26 papers receiving a total of 632 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Epidemiology and 7 papers in Cell Biology. Recurrent topics in Brian T. Emmer's work include CRISPR and Genetic Engineering (6 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and Trypanosoma species research and implications (4 papers). Brian T. Emmer is often cited by papers focused on CRISPR and Genetic Engineering (6 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and Trypanosoma species research and implications (4 papers). Brian T. Emmer collaborates with scholars based in United States, China and Canada. Brian T. Emmer's co-authors include David M. Engman, Danijela Maric, Conrad L. Epting, Leroy B. Townsend, John C. Drach, Roger G. Ptak, David Ginsburg, Cheryl L. Olson, Vi T. Tang and Joann M. Taylor and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Brian T. Emmer

25 papers receiving 625 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. Emmer 300 223 134 128 77 26 632
Ling Kong 379 1.3× 114 0.5× 108 0.8× 58 0.5× 62 0.8× 28 744
Rolando Cuevas 340 1.1× 131 0.6× 96 0.7× 98 0.8× 70 0.9× 27 720
Nils Reinton 274 0.9× 196 0.9× 72 0.5× 46 0.4× 25 0.3× 25 750
F Haguenau 283 0.9× 144 0.6× 91 0.7× 118 0.9× 66 0.9× 39 772
Halyna Marusyk 269 0.9× 141 0.6× 124 0.9× 68 0.5× 104 1.4× 26 679
Stacia Phillips 310 1.0× 262 1.2× 65 0.5× 47 0.4× 62 0.8× 27 707
H Y Naim 258 0.9× 162 0.7× 284 2.1× 108 0.8× 61 0.8× 21 679
Jeng‐Woei Lee 337 1.1× 130 0.6× 145 1.1× 60 0.5× 126 1.6× 31 757
Yaron Vagima 280 0.9× 100 0.4× 159 1.2× 58 0.5× 68 0.9× 35 726
Carolina E. Caffaro 447 1.5× 119 0.5× 81 0.6× 54 0.4× 44 0.6× 20 715

Countries citing papers authored by Brian T. Emmer

Since Specialization
Citations

This map shows the geographic impact of Brian T. Emmer'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. Emmer 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. Emmer more than expected).

Fields of papers citing papers by Brian T. Emmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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