Martin Everett
Impact in
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 2%
Papers in
-
- Antibiotic Resistance in Bacteria 16
-
- Bacterial biofilms and quorum sensing 8
- Cancer therapeutics and mechanisms 3
- Co-authors
- Yossef Av‐Gay (1 shared paper)Laura J. V. Piddock (4 shared papers)Vito Ricci (1 shared paper)Yongfeng Jin (1 shared paper)David T. Davies (7 shared papers)To S. Diep (1 shared paper)Mark A. Payton (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)Tuberculosis (1 paper)Accounts of Chemical Research (1 paper)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Martin Everett
28 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 88
- Molecular Medicine 674
- Endocrinology 207
- Infectious Diseases 678
- Applied Microbiology and Biotechnology 66
- Pharmacology 297
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 | 313 | |
| 2 | 1996 | 302 | |
| 3 | 1997 | 239 | |
| 4 | 2008 | 197 | |
| 5 | 2001 | 127 | |
| 6 | 1999 | 108 | |
| 7 | 2002 | 106 | |
| 8 | 2001 | 84 | |
| 9 | 2018 | 84 | |
| 10 | 2021 | 65 | |
| 11 | 2013 | 39 | |
| 12 | 2005 | 39 | |
| 13 | 2021 | 31 | |
| 14 | 2021 | 29 | |
| 15 | 2021 | 27 | |
| 16 | 2008 | 21 | |
| 17 | 2007 | 20 | |
| 18 | 2001 | 20 | |
| 19 | 2023 | 19 | |
| 20 | 2002 | 18 |
About Martin Everett
Martin Everett is a scholar working on Molecular Medicine, Molecular Biology, Infectious Diseases, Epidemiology 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), Antibiotics Pharmacokinetics and Efficacy (5 papers), Antimicrobial Peptides and Activities (4 papers), Mycobacterium research and diagnosis (4 papers), Bacterial Genetics and Biotechnology (4 papers) and Cancer therapeutics and mechanisms (3 papers). The work is most often cited by research in Molecular Medicine (674 citations), Endocrinology (207 citations), Infectious Diseases (678 citations), Applied Microbiology and Biotechnology (66 citations) and Pharmacology (297 citations). Martin Everett has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Yossef Av‐Gay, Laura J. V. Piddock, Vito Ricci, Yongfeng Jin, David T. Davies, To S. Diep, Mark A. Payton, Christopher M. Parry, Nicholas J. White and Pauline T. Lukey. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Microbiology, Bioorganic & Medicinal Chemistry Letters, Tuberculosis and Accounts of Chemical Research.
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.