Lilith K. Whittles
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies 7
- Microbiology top 5%
- Reproductive tract infections research 8
- Health top 10%
- Vaccine Coverage and Hesitancy 6
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research 6
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- Virology and Viral Diseases 4
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- Syphilis Diagnosis and Treatment 4
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- Adolescent Sexual and Reproductive Health 4
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- Streptococcal Infections and Treatments 3
- Co-authors
- Xavier DidelotPeter J WhiteNeil M. FergusonKaty A. M. GaythorpeNatsuko ImaiEdward KnockH. Juliette T. UnwinJohn R. Paul
- Journals
- Nature Communications (2 papers)Clinical Infectious Diseases (4 papers)Scientific Reports (3 papers)
- Partner nations
- United KingdomUnited StatesSouth Africa
In The Last Decade
Lilith K. Whittles
23 papers receiving 481 citations
Peers
Comparison fields: 5 of 78
- Modeling and Simulation 153
- Microbiology 134
- Health 87
- Infectious Diseases 190
- Applied Microbiology and Biotechnology 8
Countries citing papers authored by Lilith K. Whittles
This map shows the geographic impact of Lilith K. Whittles'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 Lilith K. Whittles with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lilith K. Whittles more than expected).
Fields of papers citing papers by Lilith K. Whittles
This network shows the impact of papers produced by Lilith K. Whittles. 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 Lilith K. Whittles. The network helps show where Lilith K. Whittles may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lilith K. Whittles, 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 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 6 | |
| 4 | 2024 | 9 | |
| 5 | 2023 | 18 | |
| 6 | 2023 | 14 | |
| 7 | 2021 | 7 | |
| 8 | 2021 | 1 | |
| 9 | 2021 | 58 | |
| 10 | 2021 | 72 | |
| 11 | 2021 | 36 | |
| 12 | 2021 | 10 | |
| 13 | 2020 | 8 | |
| 14 | 2020 | 31 | |
| 15 | 2019 | 22 | |
| 16 | 2018 | 28 | |
| 17 | 2017 | 45 | |
| 18 | 2017 | 10 | |
| 19 | 2016 | 36 | |
| 20 | 2016 | 44 |
About Lilith K. Whittles
Lilith K. Whittles is a scholar working on Modeling and Simulation, Microbiology and Health, having authored 26 papers that have together received 496 indexed citations. Recurring topics across this work include Reproductive tract infections research (8 papers), COVID-19 epidemiological studies (7 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Vaccine Coverage and Hesitancy (6 papers), Virology and Viral Diseases (4 papers), Syphilis Diagnosis and Treatment (4 papers), Adolescent Sexual and Reproductive Health (4 papers) and Streptococcal Infections and Treatments (3 papers). The work is most often cited by research in Modeling and Simulation (153 citations), Microbiology (134 citations) and Health (87 citations). Lilith K. Whittles has collaborated with scholars based in United Kingdom, United States and South Africa. Frequent co-authors include Xavier Didelot, Peter J White, Neil M. Ferguson, Katy A. M. Gaythorpe, Natsuko Imai, Edward Knock, H. Juliette T. Unwin, John R. Paul, Charles Whittaker and Marc Baguelin. Their work appears in journals such as Nature Communications, Clinical Infectious Diseases and Scientific Reports.
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.