Charles C. Traverse

16 total papers · 956 total citations
11 papers, 577 citations indexed

About

Charles C. Traverse is a scholar working on Genetics, Molecular Biology and Plant Science. According to data from OpenAlex, Charles C. Traverse has authored 11 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 8 papers in Molecular Biology and 3 papers in Plant Science. Recurrent topics in Charles C. Traverse's work include Evolution and Genetic Dynamics (9 papers), RNA and protein synthesis mechanisms (4 papers) and Bacterial Genetics and Biotechnology (4 papers). Charles C. Traverse is often cited by papers focused on Evolution and Genetic Dynamics (9 papers), RNA and protein synthesis mechanisms (4 papers) and Bacterial Genetics and Biotechnology (4 papers). Charles C. Traverse collaborates with scholars based in United States. Charles C. Traverse's co-authors include Vaughn S. Cooper, Howard Ochman, Leslie M. Mayo-Smith, Jeffrey E. Barrick, Daniel E. Deatherage, David B. Knoester, Austin G. Meyer, Crystal N. Ellis, Louis‐Marie Bobay and Sean W. Buskirk and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Evolution and BMC Genomics.

In The Last Decade

Charles C. Traverse

11 papers receiving 574 citations

Author Peers

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

Author						Papers	Cites
Charles C. Traverse	366	307	125	75	68	11	577
Adela M. Luján	371 1.0×	228 0.7×	153 1.2×	179 2.4×	48 0.7×	17	593
Nuno M. Oliveira	350 1.0×	207 0.7×	166 1.3×	48 0.6×	129 1.9×	10	658
Camilo Barbosa	184 0.5×	256 0.8×	86 0.7×	243 3.2×	39 0.6×	16	537
Elisa T. Granato	270 0.7×	197 0.6×	130 1.0×	73 1.0×	109 1.6×	12	546
J. Arjan G. M. de Visser	327 0.9×	449 1.5×	84 0.7×	54 0.7×	192 2.8×	12	677
Francisco Javier Marcos‐Torres	399 1.1×	156 0.5×	232 1.9×	59 0.8×	31 0.5×	15	667
Danna R. Gifford	256 0.7×	373 1.2×	103 0.8×	197 2.6×	105 1.5×	29	649
Camilla U. Rang	330 0.9×	262 0.9×	154 1.2×	40 0.5×	18 0.3×	20	645
Nancy L. Carty	417 1.1×	171 0.6×	46 0.4×	195 2.6×	13 0.2×	13	515
Mila Kojadinovic	313 0.9×	158 0.5×	73 0.6×	92 1.2×	25 0.4×	14	649

Countries citing papers authored by Charles C. Traverse

Since Specialization

Citations

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

Fields of papers citing papers by Charles C. Traverse

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charles C. Traverse

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