H Durnall
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Epidemiology top 5%
- Influenza Virus Research Studies
- Respiratory viral infections research
- Pneumonia and Respiratory Infections
- Data-Driven Disease Surveillance
Papers in
- Epidemiology 15
- Influenza Virus Research Studies 15
- Respiratory viral infections research 8
- Data-Driven Disease Surveillance 3
-
- COVID-19 epidemiological studies 4
- Co-authors
- Richard Pebody (11 shared papers)Maria Zambon (11 shared papers)Joanna Ellis (11 shared papers)Douglas Fleming (9 shared papers)Nick Andrews (8 shared papers)Bobby P. Smyth (5 shared papers)Jim McMenamin (5 shared papers)Simon Cottrell (5 shared papers)
- Journals
- Eurosurveillance (6 papers)Epidemiology and Infection (4 papers)Influenza and Other Respiratory Viruses (1 paper)Journal of Public Health (1 paper)Human Vaccines & Immunotherapeutics (1 paper)
- Partner nations
- United KingdomFranceUganda
In The Last Decade
H Durnall
16 papers receiving 445 citations
Peers
Comparison fields: 5 of 44
- Modeling and Simulation 58
- Epidemiology 372
- Health 46
- Infectious Diseases 58
- Agronomy and Crop Science 21
Countries citing papers authored by H Durnall
This map shows the geographic impact of H Durnall'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 H Durnall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H Durnall more than expected).
Fields of papers citing papers by H Durnall
This network shows the impact of papers produced by H Durnall. 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 H Durnall. The network helps show where H Durnall may publish in the future.
Co-authors
The 25 scholars most cited alongside H Durnall, 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 | 119 | |
| 2 | 2014 | 72 | |
| 3 | 2014 | 51 | |
| 4 | 2012 | 46 | |
| 5 | 2014 | 44 | |
| 6 | 2013 | 25 | |
| 7 | 2011 | 20 | |
| 8 | 2016 | 15 | |
| 9 | 2015 | 13 | |
| 10 | 2013 | 10 | |
| 11 | 2012 | 10 | |
| 12 | 2014 | 9 | |
| 13 | 2014 | 8 | |
| 14 | 2014 | 6 | |
| 15 | 2013 | 6 | |
| 16 | 2016 | 3 |
About H Durnall
H Durnall is a scholar working on Epidemiology, Modeling and Simulation, Health, General Health Professions and Agronomy and Crop Science, having authored 16 papers that have together received 457 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (15 papers), Respiratory viral infections research (8 papers), COVID-19 epidemiological studies (4 papers), Vaccine Coverage and Hesitancy (3 papers), Data-Driven Disease Surveillance (3 papers), Child and Adolescent Health (2 papers), Animal Disease Management and Epidemiology (2 papers) and Dermatological diseases and infestations (1 paper). The work is most often cited by research in Modeling and Simulation (58 citations), Epidemiology (372 citations), Health (46 citations), Infectious Diseases (58 citations) and Agronomy and Crop Science (21 citations). H Durnall has collaborated with scholars based in United Kingdom, France and Uganda. Frequent co-authors include Richard Pebody, Maria Zambon, Joanna Ellis, Douglas Fleming, Nick Andrews, Bobby P. Smyth, Jim McMenamin, Simon Cottrell, J. M. Watson and Catherine Moore. Their work appears in journals such as Eurosurveillance, Epidemiology and Infection, Influenza and Other Respiratory Viruses, Journal of Public Health and Human Vaccines & Immunotherapeutics.
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.