T. M. Hooton

16 total papers · 1.9k total citations
14 papers, 1.4k citations indexed

About

T. M. Hooton is a scholar working on Epidemiology, Urology and Microbiology. According to data from OpenAlex, T. M. Hooton has authored 14 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 6 papers in Urology and 6 papers in Microbiology. Recurrent topics in T. M. Hooton's work include Urinary Tract Infections Management (10 papers), Reproductive tract infections research (6 papers) and Urinary Bladder and Prostate Research (6 papers). T. M. Hooton is often cited by papers focused on Urinary Tract Infections Management (10 papers), Reproductive tract infections research (6 papers) and Urinary Bladder and Prostate Research (6 papers). T. M. Hooton collaborates with scholars based in United States. T. M. Hooton's co-authors include Walter E. Stamm, Ann E. Stapleton, Christopher A. Czaja, C. L. Fennell, Karen Dodson, Kalpana Gupta, Pacita L. Roberts, Garland Anderson, C. Winter and Soe Soe Thwin and has published in prestigious journals such as Clinical Infectious Diseases, The Journal of Infectious Diseases and Antimicrobial Agents and Chemotherapy.

In The Last Decade

T. M. Hooton

13 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
T. M. Hooton 946 454 280 273 258 14 1.4k
Spencer R. Hedges 824 0.9× 554 1.2× 140 0.5× 336 1.2× 230 0.9× 30 1.8k
Petra Lüthje 434 0.5× 201 0.4× 138 0.5× 488 1.8× 141 0.5× 34 1.4k
Travis K. Price 985 1.0× 105 0.2× 492 1.8× 430 1.6× 385 1.5× 36 1.3k
C. L. Fennell 496 0.5× 194 0.4× 133 0.5× 247 0.9× 102 0.4× 22 1.2k
Walter E. Stamm 1.0k 1.1× 209 0.5× 388 1.4× 61 0.2× 444 1.7× 8 1.2k
C S Edén 606 0.6× 196 0.4× 56 0.2× 565 2.1× 112 0.4× 16 1.7k
L Å Hanson 653 0.7× 90 0.2× 74 0.3× 243 0.9× 149 0.6× 40 1.6k
E. H. Kass 629 0.7× 107 0.2× 143 0.5× 70 0.3× 143 0.6× 24 1.2k
Tor Monsen 639 0.7× 60 0.1× 171 0.6× 456 1.7× 193 0.7× 47 1.5k
Drew J. Schwartz 565 0.6× 50 0.1× 130 0.5× 497 1.8× 182 0.7× 30 1.1k

Countries citing papers authored by T. M. Hooton

Since Specialization
Citations

This map shows the geographic impact of T. M. Hooton'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 T. M. Hooton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. M. Hooton more than expected).

Fields of papers citing papers by T. M. Hooton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. M. Hooton

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