Martin Everett
Impact in
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 2%
Papers in ⓘ
-
- Antibiotic Resistance in Bacteria 16
- Co-authors
- Yossef Av‐Gay (1 shared paper)Laura J. V. Piddock (4 shared papers)Yongfeng Jin (1 shared paper)Vito Ricci (1 shared paper)David T. Davies (7 shared papers)Tom Solomon (1 shared paper)Ha Vinh (1 shared paper)Christopher M. Parry (1 shared paper)
- Journals
- Antimicrobial Agents and Chemotherapy (7 papers)Microbiology (3 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)Clinical Infectious Diseases (1 paper)Scientific Reports (1 paper)
- Partner nations
- United KingdomUnited StatesSingapore
In The Last Decade
Martin Everett
28 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 94
- Molecular Medicine 741
- Endocrinology 242
- Applied Microbiology and Biotechnology 79
- Infectious Diseases 720
- Pharmacology 329
Countries citing papers authored by Martin Everett
This map shows the geographic impact of Martin 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 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 Everett more than expected).
Fields of papers citing papers by Martin Everett
This network shows the impact of papers produced by Martin 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 Everett. The network helps show where Martin Everett may publish in the future.
Co-authors
The 25 scholars most cited alongside Martin 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 311 | |
| 2 | 1996 | 302 | |
| 3 | 1997 | 240 | |
| 4 | 2008 | 197 | |
| 5 | 2001 | 125 | |
| 6 | 1999 | 107 | |
| 7 | 2002 | 106 | |
| 8 | 2018 | 84 | |
| 9 | 2001 | 83 | |
| 10 | 2021 | 60 | |
| 11 | 2005 | 39 | |
| 12 | 2013 | 39 | |
| 13 | 2021 | 29 | |
| 14 | 2021 | 27 | |
| 15 | 2021 | 25 | |
| 16 | 2008 | 21 | |
| 17 | 2001 | 20 | |
| 18 | 2007 | 19 | |
| 19 | 1996 | 18 | |
| 20 | 2002 | 18 |
About Martin Everett
Martin Everett is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology, Infectious Diseases, Microbiology and Pharmacology, having authored 28 papers that have together received 2.0k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (16 papers), Tuberculosis Research and Epidemiology (11 papers), Bacterial biofilms and quorum sensing (8 papers), Mycobacterium research and diagnosis (6 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers), Bacterial Genetics and Biotechnology (4 papers), Antimicrobial Peptides and Activities (4 papers) and Cancer therapeutics and mechanisms (3 papers). The work is most often cited by research in Molecular Medicine (741 citations), Endocrinology (242 citations), Applied Microbiology and Biotechnology (79 citations), Infectious Diseases (720 citations) and Pharmacology (329 citations). Martin Everett has collaborated with scholars based in United Kingdom, United States and Singapore. Frequent co-authors include Yossef Av‐Gay, Laura J. V. Piddock, Yongfeng Jin, Vito Ricci, David T. Davies, Tom Solomon, Ha Vinh, Christopher M. Parry, Nguyen Tran Chinh and Nicholas J. White. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Microbiology, Bioorganic & Medicinal Chemistry Letters, Clinical Infectious Diseases and Scientific Reports.
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.