Charley C. Gruber

18 total papers · 601 total citations
13 papers, 468 citations indexed

About

Charley C. Gruber is a scholar working on Genetics, Molecular Biology and Endocrinology. According to data from OpenAlex, Charley C. Gruber has authored 13 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 6 papers in Molecular Biology and 6 papers in Endocrinology. Recurrent topics in Charley C. Gruber's work include Bacterial Genetics and Biotechnology (8 papers), Escherichia coli research studies (6 papers) and Antibiotic Resistance in Bacteria (4 papers). Charley C. Gruber is often cited by papers focused on Bacterial Genetics and Biotechnology (8 papers), Escherichia coli research studies (6 papers) and Antibiotic Resistance in Bacteria (4 papers). Charley C. Gruber collaborates with scholars based in United States, United Kingdom and Thailand. Charley C. Gruber's co-authors include Vanessa Sperandio, Melissa M. Kendall, Christopher T. Parker, Graham C. Walker, David T. Hughes, David A. Rasko, Jacqueline W. Njoroge, Dana Braff, Yoshikazu Furuta and James J. Collins and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biochemical and Biophysical Research Communications and Journal of Bacteriology.

In The Last Decade

Charley C. Gruber

12 papers receiving 468 citations

Author Peers

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

Author Last Decade Papers Cites
Charley C. Gruber 244 241 179 150 95 13 468
N. A. Mullan 253 1.0× 130 0.5× 115 0.6× 92 0.6× 170 1.8× 16 546
Alison S. Low 163 0.7× 100 0.4× 114 0.6× 169 1.1× 59 0.6× 10 405
Keith S. Robinson 346 1.4× 182 0.8× 130 0.7× 193 1.3× 92 1.0× 8 539
Aysen L Erdem 288 1.2× 187 0.8× 139 0.8× 131 0.9× 132 1.4× 6 505
Caressa N. Tsai 136 0.6× 249 1.0× 103 0.6× 79 0.5× 132 1.4× 17 542
Gal Yerushalmi 315 1.3× 216 0.9× 152 0.8× 109 0.7× 51 0.5× 12 531
Leonor García-Bayona 143 0.6× 327 1.4× 96 0.5× 94 0.6× 103 1.1× 15 544
Timothy Tapscott 120 0.5× 217 0.9× 119 0.7× 58 0.4× 79 0.8× 9 455
Markus Furter 125 0.5× 282 1.2× 71 0.4× 105 0.7× 140 1.5× 8 505
Troy P. Hubbard 266 1.1× 243 1.0× 97 0.5× 57 0.4× 66 0.7× 12 483

Countries citing papers authored by Charley C. Gruber

Since Specialization
Citations

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

Fields of papers citing papers by Charley C. Gruber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charley C. Gruber

This figure shows the co-authorship network connecting the top 25 collaborators of Charley C. Gruber. A scholar is included among the top collaborators of Charley C. Gruber 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 Charley C. Gruber. Charley C. Gruber 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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2026