Peter Moss
Impact in
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- Antibiotic Use and Resistance
Papers in
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- Viral gastroenteritis research and epidemiology 2
- COVID-19 Clinical Research Studies 2
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- Antibiotic Use and Resistance 3
- Co-authors
- Gavin D Barlow (12 shared papers)Patrick J. Lillie (10 shared papers)Anda Samson (2 shared papers)Nicholas J. W. Easom (2 shared papers)Michael W. McKendrick (5 shared papers)Kate Adams (4 shared papers)Robert Charles Read (3 shared papers)Andrew W. Sosnowski (1 shared paper)
- Journals
- Journal of Infection (6 papers)Journal of Antimicrobial Chemotherapy (3 papers)The Lancet (2 papers)BMJ (1 paper)Scandinavian Journal of Infectious Diseases (1 paper)
- Partner nations
- United Kingdom
In The Last Decade
Peter Moss
25 papers receiving 305 citations
Peers
Comparison fields: 5 of 67
- Applied Microbiology and Biotechnology 16
- General Dentistry 3
- Infectious Diseases 82
- Modeling and Simulation 18
- Parasitology 22
Countries citing papers authored by Peter Moss
This map shows the geographic impact of Peter Moss'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 Moss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Moss more than expected).
Fields of papers citing papers by Peter Moss
This network shows the impact of papers produced by Peter Moss. 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 Moss. The network helps show where Peter Moss may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Moss, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 61 | |
| 2 | 2020 | 45 | |
| 3 | 1996 | 36 | |
| 4 | 2012 | 34 | |
| 5 | 1995 | 28 | |
| 6 | 2004 | 28 | |
| 7 | 2004 | 17 | |
| 8 | 2013 | 13 | |
| 9 | 2019 | 13 | |
| 10 | 2008 | 10 | |
| 11 | 2008 | 8 | |
| 12 | 1995 | 7 | |
| 13 | 1994 | 6 | |
| 14 | 1996 | 5 | |
| 15 | 2009 | 5 | |
| 16 | 2009 | 4 | |
| 17 | 2009 | 4 | |
| 18 | 2010 | 4 | |
| 19 | 1997 | 3 | |
| 20 | 2009 | 3 |
About Peter Moss
Peter Moss is a scholar working on Infectious Diseases, Applied Microbiology and Biotechnology, Epidemiology, Microbiology and Public Health, Environmental and Occupational Health, having authored 27 papers that have together received 341 indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (3 papers), Antibiotic Use and Resistance (3 papers), Viral gastroenteritis research and epidemiology (2 papers), Infective Endocarditis Diagnosis and Management (2 papers), Neonatal and Maternal Infections (2 papers), Streptococcal Infections and Treatments (2 papers), COVID-19 Clinical Research Studies (2 papers) and Bacterial Infections and Vaccines (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (16 citations), General Dentistry (3 citations), Infectious Diseases (82 citations), Modeling and Simulation (18 citations) and Parasitology (22 citations). Peter Moss has collaborated with scholars based in United Kingdom. Frequent co-authors include Gavin D Barlow, Patrick J. Lillie, Anda Samson, Nicholas J. W. Easom, Michael W. McKendrick, Kate Adams, Robert Charles Read, Andrew W. Sosnowski, Suneel Kumar Pooboni and Monica Ivan. Their work appears in journals such as Journal of Infection, Journal of Antimicrobial Chemotherapy, The Lancet, BMJ and Scandinavian 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.