Martin J. Everett
Impact in
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria
Papers in
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- Antibiotic Resistance in Bacteria 19
-
- Tuberculosis Research and Epidemiology 13
- Co-authors
- Yossef Av‐Gay (1 shared paper)Laura J. V. Piddock (5 shared papers)Vito Ricci (1 shared paper)Yongfeng Jin (1 shared paper)David T. Davies (7 shared papers)Nicholas Day (1 shared paper)Ha Vinh (1 shared paper)Nguyen Tran Chinh (1 shared paper)
- Journals
- Antimicrobial Agents and Chemotherapy (7 papers)ACS Infectious Diseases (3 papers)Microbiology (3 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)The Lancet Infectious Diseases (1 paper)
- Partner nations
- United KingdomItalyUnited States
In The Last Decade
Martin J. Everett
32 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 89
- Molecular Medicine 875
- Applied Microbiology and Biotechnology 93
- Endocrinology 253
- Infectious Diseases 786
- Pharmacology 369
Countries citing papers authored by Martin J. Everett
This map shows the geographic impact of Martin J. Everett'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 Martin J. Everett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin J. Everett more than expected).
Fields of papers citing papers by Martin J. Everett
This network shows the impact of papers produced by Martin J. Everett. 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 Martin J. Everett. The network helps show where Martin J. Everett may publish in the future.
Co-authors
The 25 scholars most cited alongside Martin J. Everett, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 327 | |
| 2 | 1996 | 322 | |
| 3 | 1997 | 285 | |
| 4 | 2008 | 201 | |
| 5 | 2001 | 138 | |
| 6 | 1999 | 116 | |
| 7 | 2002 | 110 | |
| 8 | 2001 | 91 | |
| 9 | 2018 | 91 | |
| 10 | 2021 | 71 | |
| 11 | 2018 | 47 | |
| 12 | 2013 | 44 | |
| 13 | 1998 | 44 | |
| 14 | 2005 | 43 | |
| 15 | 2020 | 41 | |
| 16 | 2021 | 36 | |
| 17 | 2021 | 36 | |
| 18 | 2021 | 32 | |
| 19 | 2020 | 31 | |
| 20 | 2001 | 24 |
About Martin J. Everett
Martin J. Everett is a scholar working on Molecular Medicine, Infectious Diseases, Pharmacology, Epidemiology and Microbiology, having authored 33 papers that have together received 2.3k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (19 papers), Tuberculosis Research and Epidemiology (13 papers), Bacterial biofilms and quorum sensing (8 papers), Antibiotics Pharmacokinetics and Efficacy (7 papers), Bacterial Genetics and Biotechnology (4 papers), Mycobacterium research and diagnosis (4 papers), Pneumocystis jirovecii pneumonia detection and treatment (4 papers) and Antimicrobial Peptides and Activities (4 papers). The work is most often cited by research in Molecular Medicine (875 citations), Applied Microbiology and Biotechnology (93 citations), Endocrinology (253 citations), Infectious Diseases (786 citations) and Pharmacology (369 citations). Martin J. Everett has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Yossef Av‐Gay, Laura J. V. Piddock, Vito Ricci, Yongfeng Jin, David T. Davies, Nicholas Day, Ha Vinh, Nguyen Tran Chinh, Christopher Mark Parry and John Richard Wain. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, ACS Infectious Diseases, Microbiology, Bioorganic & Medicinal Chemistry Letters and The Lancet 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.