Connor J. Beebout

21 total papers · 640 total citations
12 papers, 409 citations indexed

About

Connor J. Beebout is a scholar working on Molecular Biology, Epidemiology and Endocrinology. According to data from OpenAlex, Connor J. Beebout has authored 12 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Epidemiology and 5 papers in Endocrinology. Recurrent topics in Connor J. Beebout's work include Urinary Tract Infections Management (7 papers), Escherichia coli research studies (5 papers) and Gut microbiota and health (4 papers). Connor J. Beebout is often cited by papers focused on Urinary Tract Infections Management (7 papers), Escherichia coli research studies (5 papers) and Gut microbiota and health (4 papers). Connor J. Beebout collaborates with scholars based in United States and Germany. Connor J. Beebout's co-authors include Maria Hadjifrangiskou, Allison R. Eberly, John R. Brannon, H. B. D. Prasada Rao, Neil Hunter, Huanyu Qiao, Ajay Sharma, Hung Tran, Roberto J. Pezza and William M. Reynolds and has published in prestigious journals such as Science, Nucleic Acids Research and Nature Communications.

In The Last Decade

Connor J. Beebout

12 papers receiving 401 citations

Author Peers

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

Author Last Decade Papers Cites
Connor J. Beebout 259 123 92 55 46 12 409
Tiffani A. Jones 162 0.6× 149 1.2× 154 1.7× 30 0.5× 35 0.8× 8 399
Arnaud Métais 205 0.8× 65 0.5× 79 0.9× 45 0.8× 56 1.2× 12 438
Erin S. Honsa 202 0.8× 58 0.5× 38 0.4× 77 1.4× 121 2.6× 13 417
Kyle A. Floyd 255 1.0× 110 0.9× 146 1.6× 52 0.9× 60 1.3× 14 430
Gerd Eva Hoff 133 0.5× 102 0.8× 74 0.8× 26 0.5× 42 0.9× 10 381
Ravi Maruvada 98 0.4× 120 1.0× 108 1.2× 54 1.0× 45 1.0× 14 444
Cherisse L. Hall 198 0.8× 52 0.4× 56 0.6× 52 0.9× 66 1.4× 13 387
Shivani Agarwal 192 0.7× 68 0.6× 140 1.5× 26 0.5× 114 2.5× 23 482
Shankar Iyer 167 0.6× 108 0.9× 52 0.6× 25 0.5× 24 0.5× 15 408
Marea J. Blake 218 0.8× 46 0.4× 72 0.8× 28 0.5× 93 2.0× 14 435

Countries citing papers authored by Connor J. Beebout

Since Specialization
Citations

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

Fields of papers citing papers by Connor J. Beebout

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Connor J. Beebout. 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 Connor J. Beebout. The network helps show where Connor J. Beebout may publish in the future.

Co-authorship network of co-authors of Connor J. Beebout

This figure shows the co-authorship network connecting the top 25 collaborators of Connor J. Beebout. A scholar is included among the top collaborators of Connor J. Beebout 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 Connor J. Beebout. Connor J. Beebout 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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