Gavin Babbage
Impact in
- Infectious Diseases top 0.5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Health top 0.5%
- Vaccine Coverage and Hesitancy
Papers in
- Genetics 8
- Chronic Lymphocytic Leukemia Research 8
-
- Monoclonal and Polyclonal Antibodies Research 6
- Co-authors
- Surinder Singh Sahota (9 shared papers)Freda K. Stevenson (6 shared papers)Richard Garand (3 shared papers)Christian H. H. Ottensmeier (3 shared papers)Zadie A. Davis (1 shared paper)Peter Thomas (1 shared paper)Estella Matutes (1 shared paper)Jenny A. Orchard (1 shared paper)
- Journals
- Blood (5 papers)The Lancet (2 papers)The Lancet Infectious Diseases (1 paper)Cancer Research (1 paper)Leukemia (1 paper)
- Partner nations
- United KingdomNetherlandsItaly
In The Last Decade
Gavin Babbage
13 papers receiving 4.9k citations
Gavin Babbage's Hit Papers
Peers
Comparison fields: 5 of 116
- Infectious Diseases 3.4k
- Health 1.1k
- Modeling and Simulation 512
- Genetics 279
- Immunology 516
Countries citing papers authored by Gavin Babbage
This map shows the geographic impact of Gavin Babbage'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 Gavin Babbage with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gavin Babbage more than expected).
Fields of papers citing papers by Gavin Babbage
This network shows the impact of papers produced by Gavin Babbage. 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 Gavin Babbage. The network helps show where Gavin Babbage may publish in the future.
Co-authors
The 25 scholars most cited alongside Gavin Babbage, 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 | Safety and efficacy of the ChAdOx1 nCoV-19 vaccine (AZD1222) against SARS-CoV-2: an interim analysis of four randomised controlled trials in Brazil, South Africa, and the UK Hit paper breakdown → | 2020 | 3621 |
| 2 | Single-dose administration and the influence of the timing of the booster dose on immunogenicity and efficacy of ChAdOx1 nCoV-19 (AZD1222) vaccine: a pooled analysis of four randomised trials Hit paper breakdown → | 2021 | 867 |
| 3 | 2003 | 235 | |
| 4 | 2006 | 121 | |
| 5 | 2004 | 74 | |
| 6 | 2022 | 62 | |
| 7 | 2003 | 34 | |
| 8 | 2009 | 13 | |
| 9 | 2007 | 11 | |
| 10 | 2011 | 7 | |
| 11 | 2005 | 7 | |
| 12 | 2005 | 3 | |
| 13 | 2011 | 2 | |
| 14 | 2009 | 0 |
About Gavin Babbage
Gavin Babbage is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging, Immunology, Pathology and Forensic Medicine and Infectious Diseases, having authored 14 papers that have together received 5.1k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (8 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Lymphoma Diagnosis and Treatment (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Glycosylation and Glycoproteins Research (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Immunotherapy and Immune Responses (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Infectious Diseases (3.4k citations), Health (1.1k citations), Modeling and Simulation (512 citations), Genetics (279 citations) and Immunology (516 citations). Gavin Babbage has collaborated with scholars based in United Kingdom, Netherlands and Italy. Frequent co-authors include Surinder Singh Sahota, Freda K. Stevenson, Richard Garand, Christian H. H. Ottensmeier, Zadie A. Davis, Peter Thomas, Estella Matutes, Jenny A. Orchard, David Graham Oscier and Jeremy P. Blaydes. Their work appears in journals such as Blood, The Lancet, The Lancet Infectious Diseases, Cancer Research and Leukemia.
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.