Tim Peto
Impact in
- Infectious Diseases top 0.02%
- SARS-CoV-2 and COVID-19 Research
- Clostridium difficile and Clostridium perfringens research
- Tuberculosis Research and Epidemiology
- COVID-19 Clinical Research Studies
- Molecular Medicine top 0.05%
- Antibiotic Resistance in Bacteria
Papers in
-
- Tuberculosis Research and Epidemiology 35
- Clostridium difficile and Clostridium perfringens research 35
- Antimicrobial Resistance in Staphylococcus 27
- SARS-CoV-2 and COVID-19 Research 27
- SARS-CoV-2 detection and testing 21
-
- Antibiotic Resistance in Bacteria 43
- Co-authors
- Derrick W. Crook (176 shared papers)Ann Sarah Walker (98 shared papers)David W. Eyre (55 shared papers)Daniel J. Wilson (21 shared papers)David H. Wyllie (35 shared papers)Nicole E Stoesser (54 shared papers)Xavier Didelot (16 shared papers)David Griffiths (22 shared papers)
- Journals
- Clinical Infectious Diseases (21 papers)Journal of Clinical Microbiology (21 papers)Journal of Antimicrobial Chemotherapy (13 papers)Nature Communications (13 papers)Journal of Infection (11 papers)
- Partner nations
- United KingdomUnited StatesVietnam
In The Last Decade
Tim Peto
347 papers receiving 30.5k citations
Tim Peto's Hit Papers
Peers
Comparison fields: 5 of 193
- Infectious Diseases 13.9k
- Molecular Medicine 3.4k
- Applied Microbiology and Biotechnology 742
- Clinical Biochemistry 2.2k
- Microbiology 1.8k
Countries citing papers authored by Tim Peto
This map shows the geographic impact of Tim Peto'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 Tim Peto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Peto more than expected).
Fields of papers citing papers by Tim Peto
This network shows the impact of papers produced by Tim Peto. 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 Tim Peto. The network helps show where Tim Peto may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Peto, 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 351 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Artesunate versus quinine in the treatment of severe falciparum malaria in African children (AQUAMAT): an open-label, randomised trial Hit paper breakdown → | 2010 | 778 |
| 2 | Whole-genome sequencing to delineate Mycobacterium tuberculosis outbreaks: a retrospective observational study Hit paper breakdown → | 2012 | 738 |
| 3 | Evaluating the Effects of SARS-CoV-2 Spike Mutation D614G on Transmissibility and Pathogenicity Hit paper breakdown → | 2020 | 734 |
| 4 | SARS-CoV-2 evolution during treatment of chronic infection Hit paper breakdown → | 2021 | 698 |
| 5 | 2020 | 649 | |
| 6 | U.K. Controlled Trial of Intrapleural Streptokinase for Pleural Infection Hit paper breakdown → | 2005 | 625 |
| 7 | Transforming clinical microbiology with bacterial genome sequencing Hit paper breakdown → | 2012 | 618 |
| 8 | Prospective Evaluation of Criteria for Microbiological Diagnosis of Prosthetic-Joint Infection at Revision Arthroplasty Hit paper breakdown → | 1998 | 615 |
| 9 | Diverse Sources of C. difficile Infection Identified on Whole-Genome Sequencing Hit paper breakdown → | 2013 | 536 |
| 10 | Sensitivity of SARS-CoV-2 B.1.1.7 to mRNA vaccine-elicited antibodies Hit paper breakdown → | 2021 | 524 |
| 11 | 2003 | 522 | |
| 12 | 2003 | 499 | |
| 13 | Whole-genome sequencing for prediction of Mycobacterium tuberculosis drug susceptibility and resistance: a retrospective cohort study Hit paper breakdown → | 2015 | 480 |
| 14 | The role of whole genome sequencing in antimicrobial susceptibility testing of bacteria: report from the EUCAST Subcommittee Hit paper breakdown → | 2016 | 457 |
| 15 | Rapid antibiotic-resistance predictions from genome sequence data for Staphylococcus aureus and Mycobacterium tuberculosis Hit paper breakdown → | 2015 | 436 |
| 16 | 2009 | 405 | |
| 17 | A Candida auris Outbreak and Its Control in an Intensive Care Setting Hit paper breakdown → | 2018 | 396 |
| 18 | Effect of Delta variant on viral burden and vaccine effectiveness against new SARS-CoV-2 infections in the UK Hit paper breakdown → | 2021 | 377 |
| 19 | 2016 | 339 | |
| 20 | 1996 | 335 |
About Tim Peto
Tim Peto is a scholar working on Infectious Diseases, Molecular Medicine, Epidemiology, Clinical Biochemistry and Applied Microbiology and Biotechnology, having authored 351 papers that have together received 31.5k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (43 papers), Tuberculosis Research and Epidemiology (35 papers), Clostridium difficile and Clostridium perfringens research (35 papers), Antimicrobial Resistance in Staphylococcus (27 papers), SARS-CoV-2 and COVID-19 Research (27 papers), Mycobacterium research and diagnosis (27 papers), Bacterial Identification and Susceptibility Testing (26 papers) and SARS-CoV-2 detection and testing (21 papers). The work is most often cited by research in Infectious Diseases (13.9k citations), Molecular Medicine (3.4k citations), Applied Microbiology and Biotechnology (742 citations), Clinical Biochemistry (2.2k citations) and Microbiology (1.8k citations). Tim Peto has collaborated with scholars based in United Kingdom, United States and Vietnam. Frequent co-authors include Derrick W. Crook, Ann Sarah Walker, David W. Eyre, Daniel J. Wilson, David H. Wyllie, Nicole E Stoesser, Xavier Didelot, David Griffiths, Rory J. Bowden and A Sarah Walker. Their work appears in journals such as Clinical Infectious Diseases, Journal of Clinical Microbiology, Journal of Antimicrobial Chemotherapy, Nature Communications and Journal of Infection.
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.