Casey M. Gries

24 total papers · 801 total citations
17 papers, 597 citations indexed

About

Casey M. Gries is a scholar working on Molecular Biology, Infectious Diseases and Immunology. According to data from OpenAlex, Casey M. Gries has authored 17 papers receiving a total of 597 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Infectious Diseases and 5 papers in Immunology. Recurrent topics in Casey M. Gries's work include Antimicrobial Resistance in Staphylococcus (8 papers), Bacterial biofilms and quorum sensing (6 papers) and Bacterial Genetics and Biotechnology (3 papers). Casey M. Gries is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (8 papers), Bacterial biofilms and quorum sensing (6 papers) and Bacterial Genetics and Biotechnology (3 papers). Casey M. Gries collaborates with scholars based in United States and Canada. Casey M. Gries's co-authors include Tammy Kielian, Jeffrey L. Bose, Kenneth W. Bayles, Kelsey J. Yamada, Amy L. Aldrich, Cortney E. Heim, Tyler D. Scherr, Vinai C. Thomas, Sujata S. Chaudhari and David Lo and has published in prestigious journals such as Genes & Development, The Journal of Immunology and Molecular Microbiology.

In The Last Decade

Casey M. Gries

16 papers receiving 592 citations

Author Peers

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

Author Last Decade Papers Cites
Casey M. Gries 357 191 137 89 83 17 597
John Tam 333 0.9× 254 1.3× 86 0.6× 54 0.6× 68 0.8× 18 595
Stetson H. Williams 395 1.1× 155 0.8× 134 1.0× 132 1.5× 96 1.2× 7 681
Mingsong Kang 342 1.0× 173 0.9× 98 0.7× 141 1.6× 28 0.3× 25 583
Brian M. Gray 348 1.0× 212 1.1× 90 0.7× 90 1.0× 182 2.2× 15 604
Ranjani Prabhakara 250 0.7× 211 1.1× 137 1.0× 111 1.2× 134 1.6× 9 559
Birgit Prior 372 1.0× 77 0.4× 167 1.2× 99 1.1× 119 1.4× 20 669
Deepa Raju 313 0.9× 139 0.7× 102 0.7× 42 0.5× 121 1.5× 22 580
Alessandra Frioni 136 0.4× 135 0.7× 60 0.4× 90 1.0× 106 1.3× 14 692
Vivek Murthy 275 0.8× 227 1.2× 56 0.4× 64 0.7× 33 0.4× 17 519
Udo Lorenz 252 0.7× 198 1.0× 85 0.6× 73 0.8× 117 1.4× 26 568

Countries citing papers authored by Casey M. Gries

Since Specialization
Citations

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

Fields of papers citing papers by Casey M. Gries

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Casey M. Gries. 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 Casey M. Gries. The network helps show where Casey M. Gries may publish in the future.

Co-authorship network of co-authors of Casey M. Gries

This figure shows the co-authorship network connecting the top 25 collaborators of Casey M. Gries. A scholar is included among the top collaborators of Casey M. Gries 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 Casey M. Gries. Casey M. Gries 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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