Martin Everett

29 papers receiving 2.1k citations

Peers

Martin Everett
Comparison fields: 5 of 88
  • Molecular Medicine 733
  • Endocrinology 232
  • Infectious Diseases 735
  • Applied Microbiology and Biotechnology 72
  • Pharmacology 327
Replace F.-J. Schmitz with:
F.-J. Schmitz Germany
E. Sauvage Belgium
Julien Delmas France
Alexey Ruzin United States
Darren Abbanat United States
Sophie Magnet United States
Suzanne Chamberland Canada
Shaoji Cheng United States
Gerald Larrouy‐Maumus United Kingdom
Dijun Du United Kingdom
Martin Everett relative to F.-J. Schmitz Germany F.-J. Schmitz's profile →
Citations per field
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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 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000325
2 1996315
3 1997266
4 2008200
5 2001139
6 1999116
7 2002110
8 200190
9 201887
10 202167
11 199844
12 200542
13 201341
14 202132
15 202132
16 202130
17 200124
18 200821
19 200720
20 202320

About Martin Everett

Martin Everett is a scholar working on Molecular Medicine, Molecular Biology, Infectious Diseases, Pharmacology and Epidemiology, having authored 29 papers that have together received 2.1k 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 (6 papers), Antimicrobial Peptides and Activities (4 papers), Mycobacterium research and diagnosis (4 papers), Cancer therapeutics and mechanisms (4 papers) and Bacterial Genetics and Biotechnology (4 papers). The work is most often cited by research in Molecular Medicine (733 citations), Endocrinology (232 citations), Infectious Diseases (735 citations), Applied Microbiology and Biotechnology (72 citations) and Pharmacology (327 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, Christopher M. Parry, Nguyen Thi Tuyet Hoa, Tom Solomon, Nguyen Tran Chinh and John Wain. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Microbiology, Bioorganic & Medicinal Chemistry Letters, Journal of Bacteriology 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.

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