Martin Everett

28 papers receiving 1.9k citations

Peers

Martin Everett
Comparison fields: 5 of 94
  • Molecular Medicine 741
  • Endocrinology 242
  • Applied Microbiology and Biotechnology 79
  • Infectious Diseases 720
  • Pharmacology 329
Replace F.-J. Schmitz with:
F.-J. Schmitz Germany
E. Sauvage Belgium
Julien Delmas France
Darren Abbanat United States
Alexey Ruzin United States
Sophie Magnet United States
Gerald Larrouy‐Maumus United Kingdom
Suzanne Chamberland Canada
Dijun Du United Kingdom
Linda A. Bester South Africa
Martin Everett relative to F.-J. Schmitz Germany F.-J. Schmitz's profile →
Citations per field
00.5×2.9×
F.-J. Schmitz · 1×
Citations per year

Countries citing papers authored by Martin Everett

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Martin Everett Line = papers co-authored together Martin Everett links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000311
2 1996302
3 1997240
4 2008197
5 2001125
6 1999107
7 2002106
8 201884
9 200183
10 202160
11 200539
12 201339
13 202129
14 202127
15 202125
16 200821
17 200120
18 200719
19 199618
20 200218

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.

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