David Salisbury
Impact in
- Microbiology top 0.5%
- Bacterial Infections and Vaccines
- Health top 0.5%
- Vaccine Coverage and Hesitancy
Papers in
- Health 34
- Vaccine Coverage and Hesitancy 33
- Epidemiology 33
- Influenza Virus Research Studies 18
- Pneumonia and Respiratory Infections 12
- Virology and Viral Diseases 6
- Co-authors
- Mary Ramsay (5 shared papers)Elizabeth Miller (2 shared papers)Karen Noakes (7 shared papers)Joanne Yarwood (3 shared papers)Luis Jódar (1 shared paper)Dan M. Granoff (1 shared paper)Ian M. Feavers (1 shared paper)Helen Campbell (2 shared papers)
- Journals
- Vaccine (14 papers)The Lancet (4 papers)Vaccines (3 papers)The Journal of Infectious Diseases (2 papers)Value in Health (2 papers)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
David Salisbury
60 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 147
- Microbiology 790
- Health 615
- Epidemiology 1.2k
- Infectious Diseases 435
- Modeling and Simulation 105
Countries citing papers authored by David Salisbury
This map shows the geographic impact of David Salisbury'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 David Salisbury with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Salisbury more than expected).
Fields of papers citing papers by David Salisbury
This network shows the impact of papers produced by David Salisbury. 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 David Salisbury. The network helps show where David Salisbury may publish in the future.
Co-authors
The 25 scholars most cited alongside David Salisbury, 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 | 2001 | 400 | |
| 2 | Immunisation against infectious disease | 2006 | 366 |
| 3 | 2002 | 209 | |
| 4 | 2006 | 185 | |
| 5 | 2009 | 133 | |
| 6 | 2018 | 127 | |
| 7 | 2007 | 94 | |
| 8 | 2020 | 85 | |
| 9 | 2006 | 72 | |
| 10 | 2005 | 66 | |
| 11 | 2020 | 65 | |
| 12 | 2004 | 62 | |
| 13 | 1997 | 48 | |
| 14 | 2006 | 45 | |
| 15 | 2014 | 34 | |
| 16 | 2011 | 30 | |
| 17 | 2017 | 28 | |
| 18 | 2018 | 28 | |
| 19 | 2001 | 27 | |
| 20 | 2019 | 23 |
About David Salisbury
David Salisbury is a scholar working on Health, Epidemiology, Infectious Diseases, Microbiology and Cardiology and Cardiovascular Medicine, having authored 63 papers that have together received 2.5k indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (33 papers), Influenza Virus Research Studies (18 papers), Bacterial Infections and Vaccines (13 papers), Pneumonia and Respiratory Infections (12 papers), SARS-CoV-2 and COVID-19 Research (11 papers), Virology and Viral Diseases (6 papers), Viral gastroenteritis research and epidemiology (5 papers) and Viral Infections and Outbreaks Research (4 papers). The work is most often cited by research in Microbiology (790 citations), Health (615 citations), Epidemiology (1.2k citations), Infectious Diseases (435 citations) and Modeling and Simulation (105 citations). David Salisbury has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Mary Ramsay, Elizabeth Miller, Karen Noakes, Joanne Yarwood, Luis Jódar, Dan M. Granoff, Ian M. Feavers, Helen Campbell, Melinda Mills and David E. Bloom. Their work appears in journals such as Vaccine, The Lancet, Vaccines, The Journal of Infectious Diseases and Value in Health.
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.