E. Diane Williamson

3.1k citations
75 papers · 2.5k indexed · h-index 30
Topics
Yersinia bacterium, plague, ectoparasites research (30 papers)Bacillus and Francisella bacterial research (22 papers)Pharmacological Effects of Natural Compounds (12 papers)
Journals
Journal of Biological ChemistryNature CommunicationsSHILAP Revista de lepidopterología

In The Last Decade

E. Diane Williamson

75 papers receiving 2.4k citations

Peers

E. Diane Williamson
Comparison fields: 5 of 106
  • Molecular Biology 1.2k
  • Genetics 975
  • Infectious Diseases 706
  • Immunology 529
  • Endocrinology 285
Replace E. Diane Williamson with:
E. Diane Williamson United Kingdom
Yuichi Yokomizo Japan
M. Louise M. Pitt United States
Mark Roberts United Kingdom
S Chatfield United Kingdom
Bradford S. Powell United States
Eric G. Romanowski United States
Michael J. McCluskie Canada
Nigel Bourne United States
Timothy J. Sellati United States
E. Diane Williamson relative to E. Diane Williamson United Kingdom E. Diane Williamson's profile →
Citations per field
00.5×1.7×
E. Diane Williamson · 1×
Citations per year

Countries citing papers authored by E. Diane Williamson

Since Specialization
Citations

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

Fields of papers citing papers by E. Diane Williamson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. Diane Williamson. 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 E. Diane Williamson. The network helps show where E. Diane Williamson may publish in the future.

Co-authorship network of co-authors of E. Diane Williamson

This figure shows the co-authorship network connecting the top 25 collaborators of E. Diane Williamson. A scholar is included among the top collaborators of E. Diane Williamson 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 E. Diane Williamson. E. Diane Williamson 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 9
3 7
4 31
5 23
6 17
7 24
8 8
9 10
10 25
11 35
12 62
13 23
14 15
15 79
16 73
17 28
18 48
19 48
20 3

About E. Diane Williamson

E. Diane Williamson is a scholar working on Pharmacology, Parasitology and Endocrinology, having authored 75 papers that have together received 2.5k indexed citations. Recurring topics across this work include Yersinia bacterium, plague, ectoparasites research (30 papers), Bacillus and Francisella bacterial research (22 papers) and Pharmacological Effects of Natural Compounds (12 papers). The work is most often cited by research in Endocrinology (285 citations), Parasitology (279 citations) and Infectious Diseases (706 citations). E. Diane Williamson has collaborated with scholars based in United Kingdom, United States and Slovakia. Frequent co-authors include Richard W. Titball, Jim Eyles, H. Oya Alpar, Stephen J. Elvin, Kate F. Griffin, Gareth D. Healey, Sophie E.C. Leary, Julie Ann Miller, Helen C. Flick-Smith and Jim Hill. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and SHILAP Revista de lepidopterología.

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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