Peter J. McNamara
- Molecular Biology top 5%
- Infectious Diseases top 1%
- Genetics top 5%
- Microbiology top 2%
- Epidemiology top 10%
- Co-authors
- Richard A. ProctorChristof von EiffGeorg PetersKarsten BeckerBarbara C. KahlMathias HerrmannJ. Glenn SongerShirin Khalili
- Topics
- Antimicrobial Resistance in Staphylococcus (12 papers)Bacterial Genetics and Biotechnology (7 papers)Bacterial biofilms and quorum sensing (5 papers)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Peter J. McNamara
20 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Molecular Biology 1.4k
- Infectious Diseases 1.3k
- Genetics 437
- Microbiology 268
- Epidemiology 264
Countries citing papers authored by Peter J. McNamara
This map shows the geographic impact of Peter J. McNamara'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 Peter J. McNamara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter J. McNamara more than expected).
Fields of papers citing papers by Peter J. McNamara
This network shows the impact of papers produced by Peter J. McNamara. 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 Peter J. McNamara. The network helps show where Peter J. McNamara may publish in the future.
Co-authorship network of co-authors of Peter J. McNamara
This figure shows the co-authorship network connecting the top 25 collaborators of Peter J. McNamara. A scholar is included among the top collaborators of Peter J. McNamara 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 Peter J. McNamara. Peter J. McNamara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 54 | |
| 3 | 81 | |
| 4 | Small colony variants: a pathogenic form of bacteria that facilitates persistent and recurrent infectionsbreakdown → | 891 |
| 5 | 74 | |
| 6 | 43 | |
| 7 | 24 | |
| 8 | 109 | |
| 9 | 85 | |
| 10 | 223 | |
| 11 | 151 | |
| 12 | 8 | |
| 13 | 102 | |
| 14 | 147 | |
| 15 | 19 | |
| 16 | 35 | |
| 17 | 7 | |
| 18 | 82 | |
| 19 | 81 | |
| 20 | 20 |
About Peter J. McNamara
Peter J. McNamara is a scholar working on Endocrinology, Infectious Diseases and Microbiology, having authored 20 papers that have together received 2.3k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (12 papers), Bacterial Genetics and Biotechnology (7 papers) and Bacterial biofilms and quorum sensing (5 papers). The work is most often cited by research in Infectious Diseases (1.3k citations), Molecular Medicine (230 citations) and Microbiology (268 citations). Peter J. McNamara has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Richard A. Proctor, Christof von Eiff, Georg Peters, Karsten Becker, Barbara C. Kahl, Mathias Herrmann, J. Glenn Songer, Shirin Khalili, Arnold S. Bayer and William A. Cuevas. Their work appears in journals such as Nature Reviews Microbiology, Journal of Bacteriology and The Journal of Infectious Diseases.
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.