Kiesha Prem
Impact in
- Modeling and Simulation top 0.2%
- COVID-19 epidemiological studies
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- Tuberculosis Research and Epidemiology
Papers in
- Epidemiology 22
- Cervical Cancer and HPV Research 11
- HIV, Drug Use, Sexual Risk 5
- Hepatitis B Virus Studies 4
- Influenza Virus Research Studies 3
- Data-Driven Disease Surveillance 3
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- Tuberculosis Research and Epidemiology 7
- HIV/AIDS Research and Interventions 3
- Co-authors
- Mark Jit (15 shared papers)Alex R. Cook (12 shared papers)Petra Klepac (5 shared papers)Kevin van Zandvoort (3 shared papers)W. John Edmunds (2 shared papers)Amy Gimma (2 shared papers)Christopher I Jarvis (2 shared papers)G. James Rubin (2 shared papers)
- Journals
- BMJ Global Health (3 papers)BMC Medicine (2 papers)PLoS ONE (2 papers)BMC Infectious Diseases (2 papers)The Lancet Regional Health - Western Pacific (2 papers)
- Partner nations
- United KingdomSingaporeUnited States
In The Last Decade
Kiesha Prem
46 papers receiving 1.6k citations
Kiesha Prem's Hit Papers
Peers
Comparison fields: 5 of 115
- Modeling and Simulation 809
- Infectious Diseases 482
- Health 175
- Epidemiology 430
- Economics and Econometrics 235
Countries citing papers authored by Kiesha Prem
This map shows the geographic impact of Kiesha Prem'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 Kiesha Prem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kiesha Prem more than expected).
Fields of papers citing papers by Kiesha Prem
This network shows the impact of papers produced by Kiesha Prem. 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 Kiesha Prem. The network helps show where Kiesha Prem may publish in the future.
Co-authors
The 25 scholars most cited alongside Kiesha Prem, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Projecting social contact matrices in 152 countries using contact surveys and demographic data Hit paper breakdown → | 2017 | 519 |
| 2 | 2020 | 418 | |
| 3 | 2021 | 134 | |
| 4 | 2022 | 80 | |
| 5 | 2021 | 56 | |
| 6 | 2023 | 33 | |
| 7 | 2016 | 33 | |
| 8 | 2021 | 27 | |
| 9 | 2019 | 27 | |
| 10 | 2023 | 24 | |
| 11 | 2017 | 18 | |
| 12 | 2021 | 18 | |
| 13 | 2024 | 17 | |
| 14 | 2021 | 16 | |
| 15 | 2020 | 15 | |
| 16 | 2020 | 15 | |
| 17 | 2019 | 13 | |
| 18 | 2019 | 11 | |
| 19 | 2021 | 11 | |
| 20 | 2022 | 10 |
About Kiesha Prem
Kiesha Prem is a scholar working on Epidemiology, Infectious Diseases, Modeling and Simulation, Public Health, Environmental and Occupational Health and Economics and Econometrics, having authored 49 papers that have together received 1.6k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (12 papers), Cervical Cancer and HPV Research (11 papers), Tuberculosis Research and Epidemiology (7 papers), HIV, Drug Use, Sexual Risk (5 papers), Hepatitis B Virus Studies (4 papers), HIV/AIDS Research and Interventions (3 papers), Influenza Virus Research Studies (3 papers) and Data-Driven Disease Surveillance (3 papers). The work is most often cited by research in Modeling and Simulation (809 citations), Infectious Diseases (482 citations), Health (175 citations), Epidemiology (430 citations) and Economics and Econometrics (235 citations). Kiesha Prem has collaborated with scholars based in United Kingdom, Singapore and United States. Frequent co-authors include Mark Jit, Alex R. Cook, Petra Klepac, Kevin van Zandvoort, W. John Edmunds, Amy Gimma, Christopher I Jarvis, G. James Rubin, Alvin Kuo Jing Teo and Siyan Yi. Their work appears in journals such as BMJ Global Health, BMC Medicine, PLoS ONE, BMC Infectious Diseases and The Lancet Regional Health - Western Pacific.
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.