Ben Killingley

2.3k citations
19 papers · 469 · h-index 10

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

    • Influenza Virus Research Studies 8
    • Respiratory viral infections research 3
    • Viral Infections and Outbreaks Research 4
    • SARS-CoV-2 and COVID-19 Research 2

Ben Killingley

18 papers receiving 457 citations

Peers

Ben Killingley
Comparison fields: 5 of 75
  • Modeling and Simulation 125
  • Infectious Diseases 187
  • Epidemiology 244
  • Pulmonary and Respiratory Medicine 143
  • General Dentistry 6
Replace Bonnie C. K. Wong with:
Bonnie C. K. Wong Hong Kong
Walter Ihle United States
Barbara Biere Germany
Malur Sudhanva United Kingdom
Adriana Peci Canada
Athanasios Kossyvakis Greece
Anika Singanayagam United Kingdom
Monique Chilver Australia
Hong Sang Oh South Korea
Tadatsugu Imamura Japan
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Citations per field
00.5×1.5×
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 2013166
2 201151
3 201148
4 202335
5 201033
6 201833
7 202421
8 202018
9 200714
10 200413
11 20099
12 20249
13 20205
14 20065
15 20073
16 20173
17 20222
18 20191
19 20060

About Ben Killingley

Ben Killingley is a scholar working on Epidemiology, Infectious Diseases, Modeling and Simulation, Molecular Biology and Neurology, having authored 19 papers that have together received 469 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (8 papers), COVID-19 epidemiological studies (5 papers), Viral Infections and Outbreaks Research (4 papers), Respiratory viral infections research (3 papers), Infection Control and Ventilation (2 papers), Long-Term Effects of COVID-19 (2 papers), Bacillus and Francisella bacterial research (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Modeling and Simulation (125 citations), Infectious Diseases (187 citations), Epidemiology (244 citations), Pulmonary and Respiratory Medicine (143 citations) and General Dentistry (6 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, John Oxford, Robert Booy, Anthony Gilbert, Rob Lambkin‐Williams, Simon Cauchemez and Anton Pozniak. Their work appears in journals such as Influenza and Other Respiratory Viruses, Journal of Infection, International Journal of STD & AIDS, Health Technology Assessment and Clinical Infectious Diseases.

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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