JACQUELINE A CLARKSON
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies 3
- Microbiology top 2%
- Bacterial Infections and Vaccines 4
- Health top 5%
- Vaccine Coverage and Hesitancy 7
- Epidemiology top 5%
- Influenza Virus Research Studies 8
- Pneumonia and Respiratory Infections 3
- Virology and Viral Diseases 3
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology 2
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- Immune responses and vaccinations 2
JACQUELINE A CLARKSON
16 papers receiving 965 citations
Peers
Comparison fields: 5 of 91
- Modeling and Simulation 410
- Microbiology 204
- Health 215
- Epidemiology 563
- Infectious Diseases 247
Countries citing papers authored by JACQUELINE A CLARKSON
This map shows the geographic impact of JACQUELINE A CLARKSON'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 JACQUELINE A CLARKSON with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites JACQUELINE A CLARKSON more than expected).
Fields of papers citing papers by JACQUELINE A CLARKSON
This network shows the impact of papers produced by JACQUELINE A CLARKSON. 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 JACQUELINE A CLARKSON. The network helps show where JACQUELINE A CLARKSON may publish in the future.
Co-authorship network
The 18 scholars most cited alongside JACQUELINE A CLARKSON, 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 | 1999 | 24 | |
| 2 | 1988 | 36 | |
| 3 | 1988 | 2 | |
| 4 | Seroepidemiological studies of leprosy in northern Malawi based on an enzyme-linked immunosorbent assay using synthetic glycoconjugate antigen. | 1988 | 41 |
| 5 | 1987 | 165 | |
| 6 | 1987 | 10 | |
| 7 | Delays in notification of infectious disease. | 1987 | 10 |
| 8 | 1986 | 39 | |
| 9 | 1986 | 129 | |
| 10 | 1986 | 50 | |
| 11 | 1985 | 25 | |
| 12 | 1985 | 73 | |
| 13 | 1984 | 25 | |
| 14 | 1983 | 27 | |
| 15 | 1982 | 300 | |
| 16 | 1982 | 67 |
About JACQUELINE A CLARKSON
JACQUELINE A CLARKSON is a scholar working on Health, Modeling and Simulation, Microbiology, Epidemiology and Infectious Diseases, having authored 16 papers that have together received 1.0k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (8 papers), Vaccine Coverage and Hesitancy (7 papers), Bacterial Infections and Vaccines (4 papers), COVID-19 epidemiological studies (3 papers), Pneumonia and Respiratory Infections (3 papers), Virology and Viral Diseases (3 papers), Tuberculosis Research and Epidemiology (2 papers) and Immune responses and vaccinations (2 papers). The work is most often cited by research in Modeling and Simulation (410 citations), Microbiology (204 citations), Health (215 citations), Epidemiology (563 citations) and Infectious Diseases (247 citations). JACQUELINE A CLARKSON has collaborated with scholars based in United Kingdom, Australia and Malawi. Frequent co-authors include Paul Fine, Elizabeth Miller, J. M. Pönnighaus, N. Maine, Lyn Bliss, C. C. Draper, J. M. Pönnighaus, P. E. M. Fine, Sue Evans and A M Adelstein. Their work appears in journals such as International Journal of Epidemiology, Clinical Infectious Diseases, Epidemiology and Infection, American Journal of Epidemiology and AIDS Research and Human Retroviruses.
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.