Michael G. Caparon

5.3k total citations · 1 hit paper
12 papers, 3.5k citations indexed

About

Michael G. Caparon is a scholar working on Epidemiology, Urology and Infectious Diseases. According to data from OpenAlex, Michael G. Caparon has authored 12 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 6 papers in Urology and 3 papers in Infectious Diseases. Recurrent topics in Michael G. Caparon's work include Urinary Tract Infections Management (10 papers), Urinary Bladder and Prostate Research (6 papers) and Pelvic floor disorders treatments (3 papers). Michael G. Caparon is often cited by papers focused on Urinary Tract Infections Management (10 papers), Urinary Bladder and Prostate Research (6 papers) and Pelvic floor disorders treatments (3 papers). Michael G. Caparon collaborates with scholars based in United States, Sweden and Germany. Michael G. Caparon's co-authors include Scott J. Hultgren, Ana L. Flores‐Mireles, Jennifer N. Walker, Pascale S. Guiton, Jerome S. Pinkner, Chia‐Suei Hung, Lynn E. Hancock, Tony Purchio, Kevin P. Francis and Jun Yu and has published in prestigious journals such as Nature Reviews Microbiology, Antimicrobial Agents and Chemotherapy and The Journal of Urology.

In The Last Decade

Michael G. Caparon

12 papers receiving 3.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Urinary tract infections: epidemiology, mechanisms of infection and treatment options

2015 2.6k citations Ana L. Flores‐Mireles, Jennifer N. Walker et al. Nature Reviews Microbiology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Michael G. Caparon United States	11	2.2k	897	863	671	515	12	3.5k
Ana L. Flores‐Mireles United States	22	2.3k 1.1×	1.0k 1.2×	918 1.1×	813 1.2×	582 1.1×	48	4.1k
Jennifer N. Walker United States	18	2.3k 1.0×	1.2k 1.3×	1.1k 1.3×	835 1.2×	575 1.1×	28	4.2k
Björn Wullt Sweden	36	4.3k 2.0×	898 1.0×	1.1k 1.3×	847 1.3×	1.3k 2.5×	69	5.9k
Niels Frimodt‐Møller Denmark	38	1.4k 0.6×	1.6k 1.8×	743 0.9×	1.4k 2.1×	198 0.4×	142	4.8k
James R. Johnson United States	16	1.4k 0.6×	291 0.3×	1.0k 1.2×	678 1.0×	450 0.9×	19	2.4k
John D. Williams United Kingdom	35	1.1k 0.5×	722 0.8×	201 0.2×	723 1.1×	210 0.4×	153	3.9k
Vincent T. Andriole United States	40	2.7k 1.3×	567 0.6×	226 0.3×	502 0.7×	550 1.1×	144	5.1k
Gian Carlo Schito Italy	33	1.8k 0.8×	623 0.7×	231 0.3×	746 1.1×	121 0.2×	130	3.3k
Payam Behzadi Iran	31	889 0.4×	788 0.9×	646 0.7×	1.1k 1.6×	79 0.2×	80	2.7k
Ayman Noreddin United States	25	984 0.5×	473 0.5×	209 0.2×	1.1k 1.7×	121 0.2×	73	2.9k

Countries citing papers authored by Michael G. Caparon

Since Specialization

Citations

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

Fields of papers citing papers by Michael G. Caparon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael G. Caparon. 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 Michael G. Caparon. The network helps show where Michael G. Caparon may publish in the future.

Co-authorship network of co-authors of Michael G. Caparon

This figure shows the co-authorship network connecting the top 25 collaborators of Michael G. Caparon. A scholar is included among the top collaborators of Michael G. Caparon 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 Michael G. Caparon. Michael G. Caparon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

Urusova, Darya V., Joseph A. Merriman, Ananya Gupta, et al.. (2022). Rifampin resistance mutations in the rpoB gene of Enterococcus faecalis impact host macrophage cytokine production. Cytokine. 151. 155788–155788. 7 indexed citations

Walker, Jennifer N., Ana L. Flores‐Mireles, Jerome S. Pinkner, et al.. (2019). High-resolution imaging reveals microbial biofilms on patient urinary catheters despite antibiotic administration. World Journal of Urology. 38(9). 2237–2245. 30 indexed citations

Xu, Wei, et al.. (2017). Host and bacterial proteases influence biofilm formation and virulence in a murine model of enterococcal catheter-associated urinary tract infection. npj Biofilms and Microbiomes. 3(1). 28–28. 56 indexed citations

Flores‐Mireles, Ana L., Jennifer N. Walker, Aaron M. Potretzke, et al.. (2016). Antibody-Based Therapy for Enterococcal Catheter-Associated Urinary Tract Infections. mBio. 7(5). 56 indexed citations

Flores‐Mireles, Ana L., Jennifer N. Walker, Tyler M. Bauman, et al.. (2016). Fibrinogen Release and Deposition on Urinary Catheters Placed during Urological Procedures. The Journal of Urology. 196(2). 416–421. 69 indexed citations

Flores‐Mireles, Ana L., Jennifer N. Walker, Michael G. Caparon, & Scott J. Hultgren. (2015). Urinary tract infections: epidemiology, mechanisms of infection and treatment options. Nature Reviews Microbiology. 13(5). 269–284. 2625 indexed citations breakdown →

Flores‐Mireles, Ana L., Jerome S. Pinkner, Michael G. Caparon, & Scott J. Hultgren. (2014). EbpA vaccine antibodies block binding of Enterococcus faecalis to fibrinogen to prevent catheter-associated bladder infection in mice. Science Translational Medicine. 6(254). 254ra127–254ra127. 134 indexed citations

Guiton, Pascale S., Thomas J. Hannan, Bradley Ford, Michael G. Caparon, & Scott J. Hultgren. (2012). Enterococcus faecalis Overcomes Foreign Body-Mediated Inflammation To Establish Urinary Tract Infections. Infection and Immunity. 81(1). 329–339. 84 indexed citations

Guiton, Pascale S., Corinne K. Cusumano, Kimberly A. Kline, et al.. (2012). Combinatorial Small-Molecule Therapy Prevents Uropathogenic Escherichia coli Catheter-Associated Urinary Tract Infections in Mice. Antimicrobial Agents and Chemotherapy. 56(9). 4738–4745. 77 indexed citations

10.

Guiton, Pascale S., Chia‐Suei Hung, Lynn E. Hancock, Michael G. Caparon, & Scott J. Hultgren. (2010). Enterococcal Biofilm Formation and Virulence in an Optimized Murine Model of Foreign Body-Associated Urinary Tract Infections. Infection and Immunity. 78(10). 4166–4175. 141 indexed citations

11.

Kline, Kimberly A., Molly A. Ingersoll, Hailyn V. Nielsen, et al.. (2010). Characterization of a Novel Murine Model of Staphylococcus saprophyticus Urinary Tract Infection Reveals Roles for Ssp and SdrI in Virulence. Infection and Immunity. 78(5). 1943–1951. 41 indexed citations

12.

Francis, Kevin P., Jun Yu, Danny Joh, et al.. (2001). Visualizing Pneumococcal Infections in the Lungs of Live Mice Using Bioluminescent Streptococcus pneumoniae Transformed with a Novel Gram-Positive lux Transposon. Infection and Immunity. 69(5). 3350–3358. 215 indexed citations

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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