Jim Eyles

1.6k citations
52 papers · 1.2k indexed · h-index 22
Topics
Bacillus and Francisella bacterial research (12 papers)Yersinia bacterium, plague, ectoparasites research (11 papers)Cancer Immunotherapy and Biomarkers (10 papers)
Journals
SHILAP Revista de lepidopterologíaCancer ResearchAdvanced Drug Delivery Reviews

In The Last Decade

Jim Eyles

50 papers receiving 1.2k citations

Peers

Jim Eyles
Comparison fields: 5 of 100
  • Molecular Biology 588
  • Immunology 349
  • Genetics 261
  • Pharmaceutical Science 238
  • Infectious Diseases 232
Replace Nicolas Rochereau with:
Nicolas Rochereau France
Nani Wibowo Australia
Graham H. Farrar United Kingdom
Anne M. Donachie United Kingdom
Regis P. Kowalski United States
Peter M. Moyle Australia
Vincent W. Bramwell United Kingdom
Erik B. Lindblad United States
Jina Kazzaz United States
Tazio Storni Switzerland
Jim Eyles relative to Nicolas Rochereau France Nicolas Rochereau's profile →
Citations per field
00.5×3.6×
Nicolas Rochereau · 1×
Citations per year

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
#WorkIndexed citations
1 2
2 1
3 10
4 10
5 10
6 11
7 31
8 1
9 35
10 10
11 23
12 30
13 21
14 15
15 79
16 91
17 28
18 30
19 47
20 59

About Jim Eyles

Jim Eyles is a scholar working on Endocrinology, Physiology and Pharmaceutical Science, having authored 52 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bacillus and Francisella bacterial research (12 papers), Yersinia bacterium, plague, ectoparasites research (11 papers) and Cancer Immunotherapy and Biomarkers (10 papers). The work is most often cited by research in Pharmaceutical Science (238 citations), Endocrinology (102 citations) and Virology (91 citations). Jim Eyles has collaborated with scholars based in United Kingdom, United States and Canada. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, Cancer Research and Advanced Drug Delivery Reviews.

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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