Ben Lambert
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
-
- Mosquito-borne diseases and control
- Malaria Research and Control
Papers in
-
- Malaria Research and Control 13
- Mosquito-borne diseases and control 13
-
- COVID-19 epidemiological studies 16
- Co-authors
- Anthony Magit (5 shared papers)Thomas S. Churcher (10 shared papers)Masahiro Hashizume (3 shared papers)David J. Gavaghan (13 shared papers)Martin Robinson (6 shared papers)Lucy A. Taylor (3 shared papers)Chon Lok Lei (6 shared papers)Jahit Sacarlal (2 shared papers)
- Journals
- PLoS Computational Biology (4 papers)Journal of The Royal Society Interface (3 papers)PLoS Pathogens (3 papers)Journal of Theoretical Biology (2 papers)BMJ Open (2 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Ben Lambert
52 papers receiving 761 citations
Peers
Comparison fields: 5 of 140
- Modeling and Simulation 110
- Public Health, Environmental and Occupational Health 271
- Infectious Diseases 145
- Developmental Biology 7
- Small Animals 21
Countries citing papers authored by Ben Lambert
This map shows the geographic impact of Ben Lambert'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 Ben Lambert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben Lambert more than expected).
Fields of papers citing papers by Ben Lambert
This network shows the impact of papers produced by Ben Lambert. 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 Ben Lambert. The network helps show where Ben Lambert may publish in the future.
Co-authors
The 25 scholars most cited alongside Ben Lambert, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 95 | |
| 2 | 2017 | 61 | |
| 3 | 2020 | 50 | |
| 4 | 2018 | 47 | |
| 5 | 2019 | 43 | |
| 6 | 2018 | 35 | |
| 7 | 2019 | 32 | |
| 8 | 2019 | 29 | |
| 9 | 2021 | 28 | |
| 10 | 2021 | 28 | |
| 11 | 2021 | 23 | |
| 12 | 2020 | 22 | |
| 13 | 2022 | 21 | |
| 14 | 2021 | 21 | |
| 15 | 2020 | 19 | |
| 16 | 2021 | 15 | |
| 17 | 2024 | 14 | |
| 18 | 2022 | 12 | |
| 19 | 2023 | 12 | |
| 20 | 2018 | 12 |
About Ben Lambert
Ben Lambert is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation, Infectious Diseases, Epidemiology and Genetics, having authored 63 papers that have together received 774 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (16 papers), Malaria Research and Control (13 papers), Mosquito-borne diseases and control (13 papers), Influenza Virus Research Studies (6 papers), Evolution and Genetic Dynamics (5 papers), Viral Infections and Vectors (5 papers), Insect Pest Control Strategies (4 papers) and Wildlife Ecology and Conservation (3 papers). The work is most often cited by research in Modeling and Simulation (110 citations), Public Health, Environmental and Occupational Health (271 citations), Infectious Diseases (145 citations), Developmental Biology (7 citations) and Small Animals (21 citations). Ben Lambert has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Anthony Magit, Thomas S. Churcher, Masahiro Hashizume, David J. Gavaghan, Martin Robinson, Lucy A. Taylor, Chon Lok Lei, Jahit Sacarlal, Helen M. Byrne and Gregor J. Devine. Their work appears in journals such as PLoS Computational Biology, Journal of The Royal Society Interface, PLoS Pathogens, Journal of Theoretical Biology and BMJ Open.
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.