Michael G. Caparon

11.0k citations
122 papers · 8.8k indexed · 1 hit paper · h-index 55

Impact in

Papers in

Michael G. Caparon

120 papers receiving 8.6k citations

Hit Papers

Lactobacillus reuteri induces gut intraepithelial CD4 + CD8αα + T cells 2017 · 669 citations
6692017202620202023200400600

Peers

Michael G. Caparon
Comparison fields: 5 of 131
  • Infectious Diseases 4.1k
  • Public Health, Environmental and Occupational Health 4.7k
  • Endocrinology 634
  • Microbiology 612
  • Clinical Biochemistry 507
Replace Michael R. Wessels with:
Michael R. Wessels United States
Adeline R. Whitney United States
Eva Medina Germany
Dominique Missiakas United States
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Michael G. Caparon relative to Michael R. Wessels United States Michael R. Wessels's profile →
Citations per field
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Michael R. Wessels · 1×
Citations per year

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

The 25 scholars most cited alongside Michael G. Caparon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael G. Caparon Line = papers co-authored together Michael G. Caparon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20244
3 202434
4 20249
5 202211
6 201929
7 201794
8 2010153
9 200673
10 2005134
11 2004122
12 2004113
13 2002286
14 1998234
15 199588
16 199597
17 1994104
18 1993104
19 1993341
20 199364

About Michael G. Caparon

Michael G. Caparon is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Clinical Biochemistry, Epidemiology and Microbiology, having authored 122 papers that have together received 8.8k indexed citations. Recurring topics across this work include Streptococcal Infections and Treatments (99 papers), Antimicrobial Resistance in Staphylococcus (84 papers), Neonatal and Maternal Infections (50 papers), Infective Endocarditis Diagnosis and Management (24 papers), Bacterial Identification and Susceptibility Testing (9 papers), Plant Pathogenic Bacteria Studies (8 papers), Urinary Tract Infections Management (7 papers) and Biochemical and Structural Characterization (7 papers). The work is most often cited by research in Infectious Diseases (4.1k citations), Public Health, Environmental and Occupational Health (4.7k citations), Endocrinology (634 citations), Microbiology (612 citations) and Clinical Biochemistry (507 citations). Michael G. Caparon has collaborated with scholars based in United States, Israel and Sweden. Frequent co-authors include June R. Scott, Emanuel Hanski, Scott J. Hultgren, Nobuhiko Okada, José Perez‐Casal, Jason W. Rosch, Kyu Hong Cho, Melody N. Neely, Jennifer A. Loughman and Natividad Ruiz. Their work appears in journals such as Infection and Immunity, Journal of Bacteriology, Molecular Microbiology, Proceedings of the National Academy of Sciences and mBio.

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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