June Davies

6.1k citations
18 papers · 2.1k indexed · 1 hit paper · h-index 14
Topics
Genetic Neurodegenerative Diseases (8 papers)Fungal and yeast genetics research (3 papers)Pancreatic function and diabetes (3 papers)

In The Last Decade

June Davies

18 papers receiving 2.0k citations

Hit Papers

A genome-wide search for human type 1 diabetes susceptibi...19942026200420151994250500750

Peers

June Davies
Comparison fields: 5 of 92
  • Genetics 1.3k
  • Molecular Biology 770
  • Surgery 609
  • Endocrinology, Diabetes and Metabolism 399
  • Immunology 343
Replace Jayne A.L. Minton with:
Jayne A.L. Minton United Kingdom
Julie Evans United Kingdom
Dusica Babovic‐Vuksanovic United States
M. A. Kelly United Kingdom
Sheila Palmer United Kingdom
Bruce E. Hayward United Kingdom
W. Roy Breg United States
Renaud Touraine France
Paul Q. Thomas Australia
Louise Tee United Kingdom
June Davies relative to Jayne A.L. Minton United Kingdom Jayne A.L. Minton's profile →
Citations per field
00.5×1.5×1.8×
Jayne A.L. Minton · 1×
Citations per year

Countries citing papers authored by June Davies

Since Specialization
Citations

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

Fields of papers citing papers by June Davies

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of June Davies

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 27
2 50
3
LINKAGE MAPPING OF TYPE-1 DIABETES
72
4 22
5 43
6 22
7
A genome-wide search for human type 1 diabetes susceptibility genesbreakdown →
964
8 245
9 1
10 58
11 7
12 89
13 79
14 301
15 1
16
A new polymorphic probe which defines the region of chromosome 19 containing the myotonic dystrophy locus.
45
17 17
18 12

About June Davies

June Davies is a scholar working on Cellular and Molecular Neuroscience, Genetics and Neurology, having authored 18 papers that have together received 2.1k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (8 papers), Fungal and yeast genetics research (3 papers) and Pancreatic function and diabetes (3 papers). The work is most often cited by research in Genetics (1.3k citations), Endocrinology, Diabetes and Metabolism (399 citations) and Cellular and Molecular Neuroscience (328 citations). June Davies has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include James Copeman, John A. Todd, Heather J. Cordell, Suzanne Jenkins, Peter Reed, Sheila Palmer, Lynn E. Pritchard, Yoshihiko Kawaguchi, Anthony Barnett and Stephen C. Bain. Their work appears in journals such as Nature, New England Journal of Medicine and Nucleic Acids Research.

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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