Simon Packer
Impact in
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- COVID-19 epidemiological studies
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- Antimicrobial Resistance in Staphylococcus
- Tuberculosis Research and Epidemiology
- SARS-CoV-2 and COVID-19 Research
Papers in
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- COVID-19 epidemiological studies 3
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- Tuberculosis Research and Epidemiology 2
- Viral gastroenteritis research and epidemiology 1
- Co-authors
- K. Dakshinamurti (1 shared paper)NEWMAN L. STEPHENS (1 shared paper)C.S. Paulose (1 shared paper)Simon Paterson‐Brown (1 shared paper)Ka Ting Ng (1 shared paper)J. Reilly (2 shared papers)Maya Gobin (3 shared papers)Harriet J. Forbes (1 shared paper)
- Journals
- BMC Infectious Diseases (3 papers)BMJ (2 papers)Journal of Hospital Infection (2 papers)Journal of Infection (1 paper)The Journal of Infectious Diseases (1 paper)
- Partner nations
- United KingdomUnited StatesSaudi Arabia
In The Last Decade
Simon Packer
18 papers receiving 265 citations
Peers
Comparison fields: 5 of 81
- Modeling and Simulation 17
- Infectious Diseases 55
- Clinical Biochemistry 20
- Virology 11
- Epidemiology 63
Countries citing papers authored by Simon Packer
This map shows the geographic impact of Simon Packer'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 Simon Packer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Packer more than expected).
Fields of papers citing papers by Simon Packer
This network shows the impact of papers produced by Simon Packer. 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 Simon Packer. The network helps show where Simon Packer may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon Packer, 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 | 1988 | 83 | |
| 2 | 2020 | 30 | |
| 3 | 2022 | 29 | |
| 4 | 2019 | 27 | |
| 5 | 2017 | 22 | |
| 6 | 2019 | 13 | |
| 7 | 2021 | 12 | |
| 8 | 2015 | 12 | |
| 9 | 2016 | 10 | |
| 10 | 2024 | 8 | |
| 11 | 1998 | 7 | |
| 12 | 2020 | 6 | |
| 13 | 2014 | 6 | |
| 14 | 2024 | 6 | |
| 15 | 2022 | 4 | |
| 16 | 2021 | 3 | |
| 17 | 2025 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2025 | 0 |
About Simon Packer
Simon Packer is a scholar working on Modeling and Simulation, Infectious Diseases, Hepatology, Epidemiology and Health Information Management, having authored 19 papers that have together received 280 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (3 papers), Tuberculosis Research and Epidemiology (2 papers), Hepatitis C virus research (2 papers), Viral gastroenteritis research and epidemiology (1 paper), Statistical Methods in Clinical Trials (1 paper), Pneumocystis jirovecii pneumonia detection and treatment (1 paper), Poxvirus research and outbreaks (1 paper) and Rabies epidemiology and control (1 paper). The work is most often cited by research in Modeling and Simulation (17 citations), Infectious Diseases (55 citations), Clinical Biochemistry (20 citations), Virology (11 citations) and Epidemiology (63 citations). Simon Packer has collaborated with scholars based in United Kingdom, United States and Saudi Arabia. Frequent co-authors include K. Dakshinamurti, NEWMAN L. STEPHENS, C.S. Paulose, Simon Paterson‐Brown, Ka Ting Ng, J. Reilly, Maya Gobin, Harriet J. Forbes, Judith Breuer and Krishnan Bhaskaran. Their work appears in journals such as BMC Infectious Diseases, BMJ, Journal of Hospital Infection, Journal of Infection and The Journal of 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.