Ben Killingley
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
- Viral Infections and Outbreaks Research
Papers in
-
- Influenza Virus Research Studies 5
-
- Viral Infections and Outbreaks Research 4
- HIV/AIDS drug development and treatment 2
- Co-authors
- Jonathan S. Nguyen‐Van‐Tam (8 shared papers)Andrew Hayward (3 shared papers)Neil M. Ferguson (4 shared papers)Joanne Enstone (5 shared papers)Robert Booy (2 shared papers)John Oxford (2 shared papers)Rob Lambkin‐Williams (5 shared papers)Anton Pozniak (1 shared paper)
- Journals
- Journal of Infection (2 papers)Influenza and Other Respiratory Viruses (2 papers)Drugs of today (1 paper)The Lancet Microbe (1 paper)Haemophilia (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Ben Killingley
18 papers receiving 498 citations
Peers
Comparison fields: 5 of 74
- Modeling and Simulation 97
- Infectious Diseases 166
- Epidemiology 224
- Pulmonary and Respiratory Medicine 138
- General Dentistry 5
Countries citing papers authored by Ben Killingley
This map shows the geographic impact of Ben Killingley'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 Killingley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben Killingley more than expected).
Fields of papers citing papers by Ben Killingley
This network shows the impact of papers produced by Ben Killingley. 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 Killingley. The network helps show where Ben Killingley may publish in the future.
Co-authors
The 25 scholars most cited alongside Ben Killingley, 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 | 2013 | 175 | |
| 2 | 2011 | 51 | |
| 3 | 2011 | 51 | |
| 4 | 2023 | 38 | |
| 5 | 2010 | 35 | |
| 6 | 2018 | 34 | |
| 7 | 2024 | 27 | |
| 8 | 2020 | 23 | |
| 9 | 2007 | 17 | |
| 10 | 2004 | 14 | |
| 11 | 2009 | 12 | |
| 12 | 2024 | 11 | |
| 13 | 2020 | 7 | |
| 14 | 2006 | 5 | |
| 15 | 2007 | 5 | |
| 16 | 2017 | 3 | |
| 17 | 2022 | 3 | |
| 18 | 2019 | 1 | |
| 19 | 2006 | 0 |
About Ben Killingley
Ben Killingley is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Neurology and Virology, having authored 19 papers that have together received 512 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (5 papers), Viral Infections and Outbreaks Research (4 papers), Infection Control and Ventilation (2 papers), COVID-19 epidemiological studies (2 papers), HIV/AIDS drug development and treatment (2 papers), Long-Term Effects of COVID-19 (2 papers), Bacillus and Francisella bacterial research (2 papers) and Bartonella species infections research (1 paper). The work is most often cited by research in Modeling and Simulation (97 citations), Infectious Diseases (166 citations), Epidemiology (224 citations), Pulmonary and Respiratory Medicine (138 citations) and General Dentistry (5 citations). Ben Killingley has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Jonathan S. Nguyen‐Van‐Tam, Andrew Hayward, Neil M. Ferguson, Joanne Enstone, Robert Booy, John Oxford, Rob Lambkin‐Williams, Anton Pozniak, Simon Cauchemez and Alex Mann. Their work appears in journals such as Journal of Infection, Influenza and Other Respiratory Viruses, Drugs of today, The Lancet Microbe and Haemophilia.
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.