Ben Killingley

2.3k citations
19 papers · 493 · h-index 11

Impact in

    • COVID-19 epidemiological studies
    • SARS-CoV-2 and COVID-19 Research
    • Viral gastroenteritis research and epidemiology
    • Viral Infections and Outbreaks Research

Papers in

Ben Killingley

18 papers receiving 481 citations

Peers

Ben Killingley
Comparison fields: 5 of 72
  • Modeling and Simulation 93
  • Infectious Diseases 160
  • Epidemiology 215
  • Pulmonary and Respiratory Medicine 134
  • General Dentistry 5
Replace Bonnie C. K. Wong with:
Bonnie C. K. Wong Hong Kong
Walter Ihle United States
Amber Haynes United States
L. Finelli United States
Anika Singanayagam United Kingdom
Arnold S. Monto United States
Adriana Peci Canada
Orienka Hellferscee South Africa
Robert Dyrdak Sweden
Cara Minney‐Smith Australia
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Citations per field
00.5×1.5×1.8×
Bonnie C. K. Wong · 1×
Citations per year

Countries citing papers authored by Ben Killingley

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ben Killingley Line = papers co-authored together Ben Killingley links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2013169
2 201151
3 201150
4 202338
5 201034
6 201833
7 202427
8 202022
9 200715
10 200412
11 202411
12 200910
13 20206
14 20065
15 20173
16 20073
17 20223
18 20191
19 20060

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 493 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 (93 citations), Infectious Diseases (160 citations), Epidemiology (215 citations), Pulmonary and Respiratory Medicine (134 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, Simon Cauchemez, Anton Pozniak and Alex Mann. Their work appears in journals such as Influenza and Other Respiratory Viruses, Journal of Infection, Haemophilia, Health Technology Assessment and Science Immunology.

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.

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