Catherine de Lara
- Immunology top 5%
- T-cell and B-cell Immunology 7
- Immunotherapy and Immune Responses 6
- Immune Cell Function and Interaction 6
- Virology top 5%
- HIV Research and Treatment 2
- Infectious Diseases top 10%
- Viral gastroenteritis research and epidemiology 3
- Epidemiology top 10%
- Respiratory viral infections research 4
- Cytomegalovirus and herpesvirus research 3
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- Virus-based gene therapy research 2
- Co-authors
- Paul KlenermanPeter C. L. BeverleyAyako KuriokaChristian B. WillbergTed H. HansenJames E. UssherDerek C. MacallanHala Ghattas
- Journals
- The Journal of Experimental Medicine (1 paper)Blood (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Catherine de Lara
17 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 80
- Immunology 724
- Virology 80
- Infectious Diseases 198
- Epidemiology 326
- Hepatology 51
Countries citing papers authored by Catherine de Lara
This map shows the geographic impact of Catherine de Lara'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 Catherine de Lara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catherine de Lara more than expected).
Fields of papers citing papers by Catherine de Lara
This network shows the impact of papers produced by Catherine de Lara. 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 Catherine de Lara. The network helps show where Catherine de Lara may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Catherine de Lara, 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 | 2020 | 17 | |
| 2 | 2019 | 43 | |
| 3 | First-in-human randomized study to assess the safety and immunogenicity of an investigational respiratory syncytial virus (RSV) vaccine based on ChAd155 viral vector expressing RSV viral proteins F, N and M2-1 in healthy adults. | 2019 | 4 |
| 4 | 2019 | 70 | |
| 5 | 2018 | 26 | |
| 6 | 2017 | 10 | |
| 7 | 2015 | 49 | |
| 8 | 2015 | 37 | |
| 9 | 2013 | 8 | |
| 10 | 2013 | 401 | |
| 11 | 2013 | 36 | |
| 12 | 2011 | 27 | |
| 13 | 2011 | 47 | |
| 14 | 2009 | 37 | |
| 15 | 2005 | 126 | |
| 16 | 2004 | 144 | |
| 17 | 1998 | 21 |
About Catherine de Lara
Catherine de Lara is a scholar working on Immunology, Virology and Hepatology, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 papers), Immunotherapy and Immune Responses (6 papers), Immune Cell Function and Interaction (6 papers), Respiratory viral infections research (4 papers), Viral gastroenteritis research and epidemiology (3 papers), Cytomegalovirus and herpesvirus research (3 papers), Virus-based gene therapy research (2 papers) and HIV Research and Treatment (2 papers). The work is most often cited by research in Immunology (724 citations), Virology (80 citations) and Infectious Diseases (198 citations). Catherine de Lara has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Paul Klenerman, Peter C. L. Beverley, Ayako Kurioka, Christian B. Willberg, Ted H. Hansen, James E. Ussher, Derek C. Macallan, Hala Ghattas, Andrew Worth and David F. Tough. Their work appears in journals such as The Journal of Experimental Medicine, Blood and The Journal of 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.