J.S. Kavanaugh
Impact in
- Infectious Diseases top 5%
- Antimicrobial Resistance in Staphylococcus
- Cell Biology top 5%
- Hemoglobin structure and function
Papers in
- Cell Biology 12
- Hemoglobin structure and function 12
-
- Antimicrobial Resistance in Staphylococcus 10
- Co-authors
- Alexander R. Horswill (27 shared papers)Matthew Thoendel (3 shared papers)Caralyn E. Flack (3 shared papers)Arthur Arnone (12 shared papers)Paul H. Rogers (9 shared papers)Cheryl L. Malone (2 shared papers)Nadja B. Cech (6 shared papers)Kenneth W. Bayles (2 shared papers)
- Journals
- Biochemistry (8 papers)Journal of Biological Chemistry (3 papers)Molecular Microbiology (2 papers)Cell Reports (2 papers)Infection and Immunity (2 papers)
- Partner nations
- United StatesItalyNetherlands
In The Last Decade
J.S. Kavanaugh
40 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 96
- Infectious Diseases 541
- Cell Biology 296
- Molecular Biology 1.2k
- Dermatology 141
- Pharmacology 112
Countries citing papers authored by J.S. Kavanaugh
This map shows the geographic impact of J.S. Kavanaugh'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 J.S. Kavanaugh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.S. Kavanaugh more than expected).
Fields of papers citing papers by J.S. Kavanaugh
This network shows the impact of papers produced by J.S. Kavanaugh. 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 J.S. Kavanaugh. The network helps show where J.S. Kavanaugh may publish in the future.
Co-authors
The 25 scholars most cited alongside J.S. Kavanaugh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 375 | |
| 2 | 2011 | 225 | |
| 3 | 2009 | 162 | |
| 4 | 2020 | 146 | |
| 5 | 2019 | 140 | |
| 6 | 2014 | 131 | |
| 7 | 2015 | 123 | |
| 8 | 2007 | 120 | |
| 9 | 2013 | 111 | |
| 10 | 2016 | 83 | |
| 11 | 2003 | 74 | |
| 12 | 2015 | 71 | |
| 13 | 2019 | 65 | |
| 14 | 2005 | 61 | |
| 15 | 1992 | 60 | |
| 16 | 2012 | 50 | |
| 17 | 1995 | 45 | |
| 18 | 1993 | 43 | |
| 19 | 2013 | 34 | |
| 20 | 2022 | 34 |
About J.S. Kavanaugh
J.S. Kavanaugh is a scholar working on Cell Biology, Infectious Diseases, Molecular Biology, Dermatology and Immunology, having authored 40 papers that have together received 2.5k indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (19 papers), Hemoglobin structure and function (12 papers), Antimicrobial Resistance in Staphylococcus (10 papers), Dermatology and Skin Diseases (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Bacterial Genetics and Biotechnology (2 papers), Streptococcal Infections and Treatments (1 paper) and Microbial Natural Products and Biosynthesis (1 paper). The work is most often cited by research in Infectious Diseases (541 citations), Cell Biology (296 citations), Molecular Biology (1.2k citations), Dermatology (141 citations) and Pharmacology (112 citations). J.S. Kavanaugh has collaborated with scholars based in United States, Italy and Netherlands. Frequent co-authors include Alexander R. Horswill, Matthew Thoendel, Caralyn E. Flack, Arthur Arnone, Paul H. Rogers, Cheryl L. Malone, Nadja B. Cech, Kenneth W. Bayles, Megan R. Kiedrowski and Jovanka M. Voyich. Their work appears in journals such as Biochemistry, Journal of Biological Chemistry, Molecular Microbiology, Cell Reports and Infection and Immunity.
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.