Claire Powers

9.1k total citations · 1 hit paper
15 papers, 1.1k citations indexed

About

Claire Powers is a scholar working on Epidemiology, Animal Science and Zoology and Immunology. According to data from OpenAlex, Claire Powers has authored 15 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 5 papers in Animal Science and Zoology and 5 papers in Immunology. Recurrent topics in Claire Powers's work include Salmonella and Campylobacter epidemiology (5 papers), Herpesvirus Infections and Treatments (4 papers) and Virology and Viral Diseases (4 papers). Claire Powers is often cited by papers focused on Salmonella and Campylobacter epidemiology (5 papers), Herpesvirus Infections and Treatments (4 papers) and Virology and Viral Diseases (4 papers). Claire Powers collaborates with scholars based in United Kingdom, United States and Australia. Claire Powers's co-authors include Paul Barrow, Adrian L. Smith, Paul Wigley, Richard K. Beal, Pete Kaiser, Heather J. L. Brooks, G. S. K. Withanage, Ian McConnell, Duncan J. Maskell and Pietro Mastroeni and has published in prestigious journals such as The Journal of Experimental Medicine, Journal of Allergy and Clinical Immunology and PLoS Biology.

In The Last Decade

Claire Powers

14 papers receiving 1.1k citations

Hit Papers

Imperfect Vaccination Can Enhance the Transmission of Hig... 2015 2026 2018 2022 2015 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Claire Powers United Kingdom 11 433 422 347 302 216 15 1.1k
C Powers United States 13 330 0.8× 158 0.4× 188 0.5× 386 1.3× 107 0.5× 18 1.0k
Sukumar Saha Bangladesh 21 185 0.4× 98 0.2× 212 0.6× 291 1.0× 185 0.9× 101 1.6k
Rolf Bauerfeind Germany 20 336 0.8× 139 0.3× 605 1.7× 108 0.4× 236 1.1× 53 1.6k
Frank Verdonck Belgium 24 221 0.5× 181 0.4× 511 1.5× 393 1.3× 223 1.0× 54 1.6k
Laurence L.A. Guilloteau France 17 418 1.0× 129 0.3× 281 0.8× 235 0.8× 573 2.7× 42 1.3k
Patrik Ellström Sweden 21 391 0.9× 113 0.3× 485 1.4× 107 0.4× 266 1.2× 58 1.1k
Esperanza Gómez‐Lucía Spain 20 255 0.6× 138 0.3× 338 1.0× 266 0.9× 364 1.7× 87 1.3k
Ghislaine Guigon France 23 228 0.5× 51 0.1× 500 1.4× 102 0.3× 340 1.6× 29 1.7k
Frédéric Vangroenweghe Belgium 23 404 0.9× 310 0.7× 166 0.5× 190 0.6× 66 0.3× 52 1.4k
Richard K. Beal United Kingdom 14 624 1.4× 477 1.1× 386 1.1× 529 1.8× 134 0.6× 14 1.2k

Countries citing papers authored by Claire Powers

Since Specialization
Citations

This map shows the geographic impact of Claire Powers'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 Claire Powers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claire Powers more than expected).

Fields of papers citing papers by Claire Powers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Claire Powers. 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 Claire Powers. The network helps show where Claire Powers may publish in the future.

Co-authorship network of co-authors of Claire Powers

This figure shows the co-authorship network connecting the top 25 collaborators of Claire Powers. A scholar is included among the top collaborators of Claire Powers based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Claire Powers. Claire Powers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Bissett, Cameron, Alexandra J. Spencer, Freda Lam, et al.. (2025). Heterologous mucosal vaccine boosting enhances mucosal and systemic immunity by distinct mechanisms. The Journal of Experimental Medicine. 223(1).
2.
Bissett, Cameron, Sandra Belij‐Rammerstorfer, Marta Ulaszewska, et al.. (2024). Systemic prime mucosal boost significantly increases protective efficacy of bivalent RSV influenza viral vectored vaccine. npj Vaccines. 9(1). 118–118. 8 indexed citations
3.
Darpel, Karin E., Anna Stedman, John Flannery, et al.. (2024). Long-term trial of protection provided by adenovirus-vectored vaccine expressing the PPRV H protein. npj Vaccines. 9(1). 98–98. 1 indexed citations
4.
Al-Haj, Nagi Ahmed Abdullah, Nurulfiza Mat Isa, Aini Ideris, et al.. (2019). Differential expression of immune-related genes in the bursa of Fabricius of two inbred chicken lines following infection with very virulent infectious bursal disease virus. Comparative Immunology Microbiology and Infectious Diseases. 68. 101399–101399. 10 indexed citations
5.
Powers, Claire, et al.. (2018). Gallid herpesvirus 3 SB-1 strain as a recombinant viral vector for poultry vaccination. npj Vaccines. 3(1). 21–21. 11 indexed citations
6.
Yasmin, Abd Rahaman, Nurulfiza Mat Isa, Mohd Hair Bejo, et al.. (2017). Bursal transcriptome profiling of different inbred chicken lines reveals key differentially expressed genes at 3 days post-infection with very virulent infectious bursal disease virus. Journal of General Virology. 99(1). 21–35. 11 indexed citations
7.
Read, Andrew F., Susan J. Baigent, Claire Powers, et al.. (2015). Imperfect Vaccination Can Enhance the Transmission of Highly Virulent Pathogens. PLoS Biology. 13(7). e1002198–e1002198. 281 indexed citations breakdown →
8.
López-Guisa, Jesús M., et al.. (2012). Airway epithelial cells from asthmatic children differentially express proremodeling factors. Journal of Allergy and Clinical Immunology. 129(4). 990–997.e6. 139 indexed citations
9.
Mwangi, William, Richard K. Beal, Claire Powers, et al.. (2009). Regional and global changes in TCRαβ T cell repertoires in the gut are dependent upon the complexity of the enteric microflora. Developmental & Comparative Immunology. 34(4). 406–417. 37 indexed citations
10.
Beal, Richard K., Claire Powers, T.F. Davison, Paul Barrow, & Adrian L. Smith. (2006). Clearance of EntericSalmonella entericaSerovar Typhimurium in Chickens Is Independent of B-Cell Function. Infection and Immunity. 74(2). 1442–1444. 67 indexed citations
11.
Wigley, Paul, Scott Hulme, Claire Powers, et al.. (2005). Oral infection with the Salmonella entericaserovar Gallinarum 9R attenuated live vaccine as a model to characterise immunity to fowl typhoid in the chicken. BMC Veterinary Research. 1(1). 2–2. 61 indexed citations
12.
Beal, Richard K., Claire Powers, Paul Wigley, et al.. (2005). A Strong Antigen-Specific T-Cell Response Is Associated with Age and Genetically Dependent Resistance to Avian Enteric Salmonellosis. Infection and Immunity. 73(11). 7509–7516. 42 indexed citations
13.
Wigley, Paul, Scott Hulme, Claire Powers, et al.. (2005). Infection of the Reproductive Tract and Eggs with Salmonella enterica Serovar Pullorum in the Chicken Is Associated with Suppression of Cellular Immunity at Sexual Maturity. Infection and Immunity. 73(5). 2986–2990. 88 indexed citations
14.
Withanage, G. S. K., Paul Wigley, Pete Kaiser, et al.. (2005). Cytokine and Chemokine Responses Associated with Clearance of a Primary Salmonella enterica Serovar Typhimurium Infection in the Chicken and in Protective Immunity to Rechallenge. Infection and Immunity. 73(8). 5173–5182. 178 indexed citations
15.
Withanage, G. S. K., Pete Kaiser, Paul Wigley, et al.. (2004). Rapid Expression of Chemokines and Proinflammatory Cytokines in Newly Hatched Chickens Infected withSalmonella entericaSerovar Typhimurium. Infection and Immunity. 72(4). 2152–2159. 187 indexed citations

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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