Megan G. Behringer

53 total papers · 853 total citations
22 papers, 398 citations indexed

About

Megan G. Behringer is a scholar working on Genetics, Molecular Biology and Ecology. According to data from OpenAlex, Megan G. Behringer has authored 22 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Genetics, 16 papers in Molecular Biology and 5 papers in Ecology. Recurrent topics in Megan G. Behringer's work include Evolution and Genetic Dynamics (16 papers), Microbial Community Ecology and Physiology (5 papers) and Genomics and Phylogenetic Studies (4 papers). Megan G. Behringer is often cited by papers focused on Evolution and Genetic Dynamics (16 papers), Microbial Community Ecology and Physiology (5 papers) and Genomics and Phylogenetic Studies (4 papers). Megan G. Behringer collaborates with scholars based in United States, Türkiye and Grenada. Megan G. Behringer's co-authors include David W. Hall, Michael Lynch, William G. Miller, Omar A. Oyarzábal, Samuel F. Miller, Hongan Long, Brent K. Lehmkuhl, Thomas G. Doak, Mario E. Muscarella and William R. Shoemaker and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Applied and Environmental Microbiology.

In The Last Decade

Megan G. Behringer

22 papers receiving 389 citations

Author Peers

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

Author						Papers	Cites
Megan G. Behringer	202	167	88	72	65	22	398
Letal I. Salzberg	238 1.2×	253 1.5×	36 0.4×	170 2.4×	33 0.5×	18	413
Heiko T. Kiesewalter	238 1.2×	92 0.6×	42 0.5×	136 1.9×	14 0.2×	10	427
João Alves Gama	169 0.8×	149 0.9×	41 0.5×	150 2.1×	23 0.4×	18	441
Eric G. Matson	161 0.8×	120 0.7×	20 0.2×	115 1.6×	36 0.6×	14	364
Eric L. Bruger	260 1.3×	94 0.6×	15 0.2×	72 1.0×	34 0.5×	22	437
Anupama Khare	226 1.1×	189 1.1×	31 0.4×	52 0.7×	21 0.3×	13	390
J. Royden Saah	138 0.7×	85 0.5×	129 1.5×	62 0.9×	19 0.3×	11	399
Gili Rosenberg	225 1.1×	71 0.4×	32 0.4×	88 1.2×	38 0.6×	11	389
Christelle Lemy	277 1.4×	125 0.7×	24 0.3×	55 0.8×	26 0.4×	14	355
Barbara Pees	203 1.0×	78 0.5×	18 0.2×	47 0.7×	19 0.3×	17	438

Countries citing papers authored by Megan G. Behringer

Since Specialization

Citations

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

Fields of papers citing papers by Megan G. Behringer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Megan G. Behringer

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