Timothy M. Rawson
Impact in
- Applied Microbiology and Biotechnology top 0.05%
- Antibiotic Use and Resistance
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
Papers in
-
- Antibiotic Use and Resistance 39
-
- Antibiotic Resistance in Bacteria 15
- Co-authors
- Alison HolmesLuke MooreMark GilchristGiovanni SattaNina ZhuPantelis GeorgiouRaheelah AhmadKeira Skolimowska
- Journals
- Journal of Antimicrobial Chemotherapy (8 papers)International Journal of Infectious Diseases (6 papers)BMC Infectious Diseases (5 papers)Clinical Microbiology and Infection (5 papers)Clinical Infectious Diseases (4 papers)
- Partner nations
- United KingdomThailandUnited States
In The Last Decade
Timothy M. Rawson
87 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Applied Microbiology and Biotechnology 1.6k
- Molecular Medicine 455
- Health Informatics 122
- Critical Care and Intensive Care Medicine 328
- Infectious Diseases 1.1k
Countries citing papers authored by Timothy M. Rawson
This map shows the geographic impact of Timothy M. Rawson'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 Timothy M. Rawson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timothy M. Rawson more than expected).
Fields of papers citing papers by Timothy M. Rawson
This network shows the impact of papers produced by Timothy M. Rawson. 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 Timothy M. Rawson. The network helps show where Timothy M. Rawson may publish in the future.
Co-authors
The 25 scholars most cited alongside Timothy M. Rawson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 4 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 11 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 10 | |
| 10 | 2022 | 17 | |
| 11 | A Surveillance Framework for Healthcare Associated Infections and Antimicrobial Resistance in Acute Care in the Context of COVID-19: A Rapid Literature Review and Expert Consensus | 2021 | 3 |
| 12 | 2021 | 14 | |
| 13 | 2021 | 84 | |
| 14 | 2020 | 10 | |
| 15 | 2019 | 11 | |
| 16 | 2017 | 39 | |
| 17 | 2016 | 19 | |
| 18 | 2016 | 43 | |
| 19 | 2016 | 13 | |
| 20 | 2015 | 13 |
About Timothy M. Rawson
Timothy M. Rawson is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine, Health Informatics, Clinical Biochemistry and Pharmacology, having authored 92 papers that have together received 3.7k indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (39 papers), Antibiotics Pharmacokinetics and Efficacy (23 papers), Bacterial Identification and Susceptibility Testing (17 papers), Antibiotic Resistance in Bacteria (15 papers), Patient Satisfaction in Healthcare (9 papers), Pneumonia and Respiratory Infections (7 papers), Sepsis Diagnosis and Treatment (7 papers) and COVID-19 diagnosis using AI (6 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (1.6k citations), Molecular Medicine (455 citations), Health Informatics (122 citations), Critical Care and Intensive Care Medicine (328 citations) and Infectious Diseases (1.1k citations). Timothy M. Rawson has collaborated with scholars based in United Kingdom, Thailand and United States. Frequent co-authors include Alison Holmes, Luke Moore, Mark Gilchrist, Giovanni Satta, Nina Zhu, Pantelis Georgiou, Raheelah Ahmad, Keira Skolimowska, Graham Cooke and Esmita Charani. Their work appears in journals such as Journal of Antimicrobial Chemotherapy, International Journal of Infectious Diseases, BMC Infectious Diseases, Clinical Microbiology and Infection and Clinical 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.