Tyler G. Kimbrough

31 total papers · 1.1k total citations
12 papers, 923 citations indexed

About

Tyler G. Kimbrough is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Tyler G. Kimbrough has authored 12 papers receiving a total of 923 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Genetics and 3 papers in Ecology. Recurrent topics in Tyler G. Kimbrough's work include Bacterial Genetics and Biotechnology (4 papers), Bacteriophages and microbial interactions (3 papers) and Salmonella and Campylobacter epidemiology (3 papers). Tyler G. Kimbrough is often cited by papers focused on Bacterial Genetics and Biotechnology (4 papers), Bacteriophages and microbial interactions (3 papers) and Salmonella and Campylobacter epidemiology (3 papers). Tyler G. Kimbrough collaborates with scholars based in United States, Canada and Germany. Tyler G. Kimbrough's co-authors include Samuel I. Miller, G. Stamatoyannopoulos, Calvin K. Yip, M. Vuckovic, Christopher H. Clegg, N.C.J. Strynadka, Patrick A. Navas, Kenneth R. Peterson, Richard A. Pfuetzner and B. Brett Finlay and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Genetics.

In The Last Decade

Tyler G. Kimbrough

12 papers receiving 916 citations

Author Peers

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

Author						Papers	Cites
Tyler G. Kimbrough	467	414	356	177	146	12	923
C. Hal Jones	315 0.7×	562 1.4×	361 1.0×	173 1.0×	79 0.5×	15	1.0k
Simon Daefler	293 0.6×	540 1.3×	184 0.5×	113 0.6×	119 0.8×	28	913
K L Strauch	470 1.0×	712 1.7×	166 0.5×	136 0.8×	93 0.6×	13	1.1k
Julie L. Badger	366 0.8×	345 0.8×	573 1.6×	103 0.6×	232 1.6×	18	1.2k
Stacie Jefferson	296 0.6×	561 1.4×	101 0.3×	126 0.7×	49 0.3×	19	1.1k
Antoine Giraud	522 1.1×	586 1.4×	135 0.4×	79 0.4×	136 0.9×	17	1.2k
Anthony Scott-Tucker	321 0.7×	504 1.2×	404 1.1×	152 0.9×	154 1.1×	24	1.1k
Isabel Rodríguez‐Escudero	142 0.3×	564 1.4×	217 0.6×	60 0.3×	96 0.7×	28	884
Peter Stanley	286 0.6×	470 1.1×	230 0.6×	122 0.7×	27 0.2×	17	1.1k
Jon R. Armstrong	248 0.5×	464 1.1×	264 0.7×	106 0.6×	76 0.5×	18	1.0k

Countries citing papers authored by Tyler G. Kimbrough

Since Specialization

Citations

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

Fields of papers citing papers by Tyler G. Kimbrough

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tyler G. Kimbrough. 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 Tyler G. Kimbrough. The network helps show where Tyler G. Kimbrough may publish in the future.

Co-authorship network of co-authors of Tyler G. Kimbrough

This figure shows the co-authorship network connecting the top 25 collaborators of Tyler G. Kimbrough. A scholar is included among the top collaborators of Tyler G. Kimbrough 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 Tyler G. Kimbrough. Tyler G. Kimbrough 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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