John M. Farrow

18 total papers · 1.6k total citations
17 papers, 1.2k citations indexed

About

John M. Farrow is a scholar working on Molecular Biology, Molecular Medicine and Genetics. According to data from OpenAlex, John M. Farrow has authored 17 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Molecular Medicine and 6 papers in Genetics. Recurrent topics in John M. Farrow's work include Bacterial biofilms and quorum sensing (11 papers), Antibiotic Resistance in Bacteria (7 papers) and Bacterial Genetics and Biotechnology (6 papers). John M. Farrow is often cited by papers focused on Bacterial biofilms and quorum sensing (11 papers), Antibiotic Resistance in Bacteria (7 papers) and Bacterial Genetics and Biotechnology (6 papers). John M. Farrow collaborates with scholars based in United States, Austria and South Korea. John M. Farrow's co-authors include Everett C. Pesci, M. Worth Calfee, James P. Coleman, Carla Cugini, Diana K. Morales, Deborah A. Hogan, L. Lynn Hudson, Michael L. Vasil, Amanda G. Oglesby and Andrew P. Tomaras and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and PLoS ONE.

In The Last Decade

John M. Farrow

17 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
John M. Farrow 880 360 331 209 152 17 1.2k
Gaoping Xiao 1.0k 1.1× 390 1.1× 462 1.4× 171 0.8× 139 0.9× 18 1.2k
Iyarit Thaipisuttikul 863 1.0× 308 0.9× 442 1.3× 167 0.8× 183 1.2× 23 1.2k
Pol Nadal‐Jimenez 936 1.1× 265 0.7× 312 0.9× 181 0.9× 106 0.7× 24 1.2k
Zaiga Johnson 862 1.0× 313 0.9× 525 1.6× 202 1.0× 134 0.9× 15 1.2k
Biliana Lesic 954 1.1× 448 1.2× 529 1.6× 371 1.8× 205 1.3× 15 1.3k
Qing Wei 931 1.1× 316 0.9× 271 0.8× 199 1.0× 198 1.3× 27 1.4k
Valérie Dekimpe 701 0.8× 295 0.8× 262 0.8× 134 0.6× 82 0.5× 12 930
Bhavjinder K. Dhillon 924 1.1× 310 0.9× 371 1.1× 179 0.9× 263 1.7× 13 1.3k
Christophe Bordi 839 1.0× 263 0.7× 406 1.2× 295 1.4× 158 1.0× 28 1.3k
Florian Bredenbruch 768 0.9× 338 0.9× 309 0.9× 172 0.8× 108 0.7× 9 940

Countries citing papers authored by John M. Farrow

Since Specialization
Citations

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

Fields of papers citing papers by John M. Farrow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John M. Farrow

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