Paul Cleary
Impact in
- Infectious Diseases top 2%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
Papers in
-
- Escherichia coli research studies 5
-
- COVID-19 epidemiological studies 6
- Co-authors
- María Saavedra-CamposJohn Mair-JenkinsJonathan S. Nguyen‐Van‐TamJ. Kenneth BaillieFu-Meng KhawKevin RooneyCharles BeckWei Shen Lim
- Journals
- Eurosurveillance (6 papers)Epidemiology and Infection (5 papers)Journal of Hospital Infection (3 papers)Public Health (3 papers)Influenza and Other Respiratory Viruses (2 papers)
- Partner nations
- United KingdomSwedenFrance
In The Last Decade
Paul Cleary
51 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Infectious Diseases 929
- Molecular Medicine 221
- Endocrinology 219
- Modeling and Simulation 103
- Applied Microbiology and Biotechnology 40
Countries citing papers authored by Paul Cleary
This map shows the geographic impact of Paul Cleary'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 Paul Cleary with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Cleary more than expected).
Fields of papers citing papers by Paul Cleary
This network shows the impact of papers produced by Paul Cleary. 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 Paul Cleary. The network helps show where Paul Cleary may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Paul Cleary, 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 | 3 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2020 | 3 | |
| 5 | 2020 | 1 | |
| 6 | 2019 | 4 | |
| 7 | 2019 | 0 | |
| 8 | 2019 | 2 | |
| 9 | 2019 | 6 | |
| 10 | 2017 | 3 | |
| 11 | 2016 | 20 | |
| 12 | 2016 | 5 | |
| 13 | 2016 | 2 | |
| 14 | 2015 | 8 | |
| 15 | 2015 | 9 | |
| 16 | 2015 | 9 | |
| 17 | How 'Balibo' Distorts History | 2009 | 1 |
| 18 | Long Road Back for Ramos Horta | 2006 | 1 |
| 19 | 2005 | 24 | |
| 20 | 2005 | 116 |
About Paul Cleary
Paul Cleary is a scholar working on Endocrinology, Modeling and Simulation, Infectious Diseases, Molecular Medicine and Epidemiology, having authored 53 papers that have together received 2.0k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (8 papers), Salmonella and Campylobacter epidemiology (8 papers), COVID-19 epidemiological studies (6 papers), Respiratory viral infections research (6 papers), Escherichia coli research studies (5 papers), Viral gastroenteritis research and epidemiology (5 papers), Tuberculosis Research and Epidemiology (5 papers) and Pneumonia and Respiratory Infections (4 papers). The work is most often cited by research in Infectious Diseases (929 citations), Molecular Medicine (221 citations), Endocrinology (219 citations), Modeling and Simulation (103 citations) and Applied Microbiology and Biotechnology (40 citations). Paul Cleary has collaborated with scholars based in United Kingdom, Sweden and France. Frequent co-authors include María Saavedra-Campos, John Mair-Jenkins, Jonathan S. Nguyen‐Van‐Tam, J. Kenneth Baillie, Fu-Meng Khaw, Kevin Rooney, Charles Beck, Wei Shen Lim, Simon Shorvon and Raymond Tallis. Their work appears in journals such as Eurosurveillance, Epidemiology and Infection, Journal of Hospital Infection, Public Health and Influenza and Other Respiratory Viruses.
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.