Jim Eyles

1.6k total citations
52 papers, 1.2k citations indexed

About

Jim Eyles is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Jim Eyles has authored 52 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 16 papers in Immunology and 15 papers in Oncology. Recurrent topics in Jim Eyles's work include Bacillus and Francisella bacterial research (12 papers), Yersinia bacterium, plague, ectoparasites research (11 papers) and Cancer Immunotherapy and Biomarkers (10 papers). Jim Eyles is often cited by papers focused on Bacillus and Francisella bacterial research (12 papers), Yersinia bacterium, plague, ectoparasites research (11 papers) and Cancer Immunotherapy and Biomarkers (10 papers). Jim Eyles collaborates with scholars based in United Kingdom, United States and Canada. Jim Eyles's co-authors include H. Oya Alpar, E. Diane Williamson, E. Diane Williamson, Ian D. Spiers, Vincent W. Bramwell, Stephen J. Elvin, Gareth D. Healey, Richard W. Titball, G.J.E. Sharp and M. Gill Hartley and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and Advanced Drug Delivery Reviews.

In The Last Decade

Jim Eyles

50 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jim Eyles United Kingdom 22 588 349 261 238 232 52 1.2k
Nicolas Rochereau France 17 335 0.6× 566 1.6× 73 0.3× 109 0.5× 241 1.0× 30 1.1k
Nani Wibowo Australia 11 492 0.8× 451 1.3× 85 0.3× 107 0.4× 351 1.5× 20 1.3k
Regis P. Kowalski United States 31 489 0.8× 108 0.3× 215 0.8× 67 0.3× 349 1.5× 161 3.6k
Peter M. Moyle Australia 28 1.1k 1.8× 705 2.0× 117 0.4× 121 0.5× 360 1.6× 66 2.1k
Tazio Storni Switzerland 17 646 1.1× 1.2k 3.5× 166 0.6× 105 0.4× 273 1.2× 20 2.1k
Vincent W. Bramwell United Kingdom 22 905 1.5× 917 2.6× 48 0.2× 426 1.8× 264 1.1× 32 1.8k
M. Ann Clark United Kingdom 22 823 1.4× 782 2.2× 242 0.9× 446 1.9× 407 1.8× 30 2.2k
Graham H. Farrar United Kingdom 18 486 0.8× 486 1.4× 129 0.5× 132 0.6× 254 1.1× 41 1.2k
Jina Kazzaz United States 22 620 1.1× 891 2.6× 41 0.2× 239 1.0× 217 0.9× 29 1.4k
Li Shi China 17 490 0.8× 457 1.3× 121 0.5× 80 0.3× 374 1.6× 43 1.5k

Countries citing papers authored by Jim Eyles

Since Specialization
Citations

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

Fields of papers citing papers by Jim Eyles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jim Eyles

This figure shows the co-authorship network connecting the top 25 collaborators of Jim Eyles. A scholar is included among the top collaborators of Jim Eyles 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 Jim Eyles. Jim Eyles is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Magiera, Łukasz, Juliana Candido, Jane Coates Ulrichsen, et al.. (2024). Bayesian modeling for analyzing heterogeneous response in preclinical mouse tumor models. Science Translational Medicine. 16(771). eadi9004–eadi9004. 2 indexed citations
2.
Santha, Sreevidya, Man Li, Nadia Luheshi, et al.. (2023). 1069 IL-12 mRNA monotherapy is effective in murine tumors resistant to checkpoint inhibition. SHILAP Revista de lepidopterología. A1176–A1176. 1 indexed citations
3.
Graziano, Vincenzo, Andreas Dannhorn, Heather Hulme, et al.. (2023). Defining the spatial distribution of extracellular adenosine revealed a myeloid-dependent immunosuppressive microenvironment in pancreatic ductal adenocarcinoma. Journal for ImmunoTherapy of Cancer. 11(8). e006457–e006457. 10 indexed citations
4.
Harper, James A., Shannon Burke, Jon Travers, et al.. (2021). Recombinant Newcastle Disease Virus Immunotherapy Drives Oncolytic Effects and Durable Systemic Antitumor Immunity. Molecular Cancer Therapeutics. 20(9). 1723–1734. 10 indexed citations
5.
Anderson, Richard J., Siradanahalli C. Guru, Risini D. Weeratna, et al.. (2016). In vivo screen of genetically conserved Streptococcus pneumoniae proteins for protective immunogenicity. Vaccine. 34(50). 6292–6300. 10 indexed citations
6.
Albrecht, Mark T., Jim Eyles, Les Baillie, & Andrea Keane‐Myers. (2012). Immunogenicity and efficacy of an anthrax/plague DNA fusion vaccine in a mouse model. FEMS Immunology & Medical Microbiology. 65(3). 505–509. 11 indexed citations
7.
Eyles, Jim, M. Gill Hartley, Thomas R. Laws, et al.. (2007). Protection afforded against aerosol challenge by systemic immunisation with inactivated Francisella tularensis live vaccine strain (LVS). Microbial Pathogenesis. 44(2). 164–168. 31 indexed citations
8.
Eyles, Jim. (2007). Therapeutic Use of Molecules that Mimic Pathogen Danger Signals. Endocrine Metabolic & Immune Disorders - Drug Targets. 7(3). 177–186. 1 indexed citations
9.
10.
Healey, Gareth D., et al.. (2005). Activation of dendritic cells by microparticles containing Bacillus anthracis protective antigen. Vaccine. 23(29). 3857–3863. 10 indexed citations
11.
Eyles, Jim, et al.. (2004). Immunisation against plague by transcutaneous and intradermal application of subunit antigens. Vaccine. 22(31-32). 4365–4373. 23 indexed citations
12.
Eyles, Jim, et al.. (2003). Immunological Aspects of Polymer Microsphere Vaccine Delivery Systems. Journal of drug targeting. 11(8-10). 509–514. 30 indexed citations
13.
Eyles, Jim, Vincent W. Bramwell, J. B. Singh, E. Diane Williamson, & H. Oya Alpar. (2002). Stimulation of spleen cells in vitro by nanospheric particles containing antigen. Journal of Controlled Release. 86(1). 25–32. 21 indexed citations
14.
Griffin, Kate F., Jim Eyles, Ian D. Spiers, H. Oya Alpar, & E. Diane Williamson. (2002). Protection against plague following immunisation with microencapsulated V antigen is reduced by co-encapsulation with IFN-γ or IL-4, but not IL-6. Vaccine. 20(31-32). 3650–3657. 15 indexed citations
15.
Alpar, H. Oya, et al.. (2001). Intranasal vaccination against plague, tetanus and diphtheria. Advanced Drug Delivery Reviews. 51(1-3). 173–201. 79 indexed citations
16.
Eyles, Jim, Vincent W. Bramwell, E. Diane Williamson, & H. Oya Alpar. (2001). Microsphere translocation and immunopotentiation in systemic tissues following intranasal administration. Vaccine. 19(32). 4732–4742. 91 indexed citations
18.
Eyles, Jim, E. Diane Williamson, Ian D. Spiers, et al.. (2000). Generation of protective immune responses to plague by mucosal administration of microsphere coencapsulated recombinant subunits. Journal of Controlled Release. 63(1-2). 191–200. 30 indexed citations
19.
Eyles, Jim, E. Diane Williamson, & H. Oya Alpar. (1999). Immunological responses to nasal delivery of free and encapsulated tetanus toxoid: studies on the effect of vehicle volume. International Journal of Pharmaceutics. 189(1). 75–79. 47 indexed citations
20.
Eyles, Jim, Ian D. Spiers, E. Diane Williamson, & H. Oya Alpar. (1998). Analysis of local and systemic immunological responses after intra-tracheal, intra-nasal and intra-muscular administration of microsphere co-encapsulated Yersinia pestis sub-unit vaccines. Vaccine. 16(20). 2000–2009. 59 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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