Jane Whelan
Impact in
- Microbiology top 1%
- Bacterial Infections and Vaccines
- Reproductive tract infections research
- Health top 5%
- Vaccine Coverage and Hesitancy
Papers in
- Microbiology 13
- Bacterial Infections and Vaccines 11
-
- COVID-19 epidemiological studies 7
- Co-authors
- Gerard J.B. Sonder (7 shared papers)Anneke van den Hoek (7 shared papers)M Du Ry van Beest Holle (3 shared papers)Véronique Abitbol (2 shared papers)Michael D. Nissen (1 shared paper)Robert Booy (1 shared paper)Ángela Gentile (1 shared paper)Ewout B. Fanoy (8 shared papers)
- Journals
- Eurosurveillance (9 papers)Vaccine (5 papers)Emerging infectious diseases (3 papers)BMC Infectious Diseases (3 papers)Human Vaccines & Immunotherapeutics (2 papers)
- Partner nations
- NetherlandsUnited KingdomAustralia
In The Last Decade
Jane Whelan
47 papers receiving 893 citations
Peers
Comparison fields: 5 of 87
- Microbiology 397
- Health 106
- Epidemiology 401
- Parasitology 51
- Infectious Diseases 132
Countries citing papers authored by Jane Whelan
This map shows the geographic impact of Jane Whelan'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 Jane Whelan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane Whelan more than expected).
Fields of papers citing papers by Jane Whelan
This network shows the impact of papers produced by Jane Whelan. 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 Jane Whelan. The network helps show where Jane Whelan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jane Whelan, 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 | 2020 | 136 | |
| 2 | 2018 | 80 | |
| 3 | 2010 | 64 | |
| 4 | 2016 | 59 | |
| 5 | 2015 | 57 | |
| 6 | 2012 | 57 | |
| 7 | 2021 | 43 | |
| 8 | 2011 | 30 | |
| 9 | 2013 | 27 | |
| 10 | Malaria and the red cell. Ciba Foundation symposium 94. | 1983 | 27 |
| 11 | 2018 | 26 | |
| 12 | 2011 | 24 | |
| 13 | 2012 | 21 | |
| 14 | 2012 | 21 | |
| 15 | 2015 | 19 | |
| 16 | 2020 | 19 | |
| 17 | 2010 | 17 | |
| 18 | 2013 | 17 | |
| 19 | 2023 | 16 | |
| 20 | 2002 | 15 |
About Jane Whelan
Jane Whelan is a scholar working on Microbiology, Modeling and Simulation, Epidemiology, Health and Infectious Diseases, having authored 49 papers that have together received 936 indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (11 papers), COVID-19 epidemiological studies (7 papers), Vaccine Coverage and Hesitancy (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Pneumonia and Respiratory Infections (4 papers), Hepatitis B Virus Studies (4 papers), Data-Driven Disease Surveillance (3 papers) and Influenza Virus Research Studies (3 papers). The work is most often cited by research in Microbiology (397 citations), Health (106 citations), Epidemiology (401 citations), Parasitology (51 citations) and Infectious Diseases (132 citations). Jane Whelan has collaborated with scholars based in Netherlands, United Kingdom and Australia. Frequent co-authors include Gerard J.B. Sonder, Anneke van den Hoek, M Du Ry van Beest Holle, Véronique Abitbol, Michael D. Nissen, Robert Booy, Ángela Gentile, Ewout B. Fanoy, DEREK F. EVERED and Hester E. de Melker. Their work appears in journals such as Eurosurveillance, Vaccine, Emerging infectious diseases, BMC Infectious Diseases and Human Vaccines & Immunotherapeutics.
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.