David Eccles

12.2k citations
34 papers · 649 · h-index 13

Impact in

    • Epigenetics and DNA Methylation
    • Planarian Biology and Electrostimulation
    • Genomics and Phylogenetic Studies
    • Genetic Associations and Epidemiology
    • Genetic diversity and population structure

Papers in

    • Genomics and Phylogenetic Studies 4
    • Metabolomics and Mass Spectrometry Studies 2
    • Molecular Biology Techniques and Applications 2
    • Genetic Associations and Epidemiology 3

David Eccles

32 papers receiving 644 citations

Peers

David Eccles
Comparison fields: 5 of 109
  • Molecular Biology 311
  • Genetics 120
  • Aging 7
  • Paleontology 29
  • Immunology 66
Replace Nallur B. Ramachandra with:
Nallur B. Ramachandra India
Andrew B. Bicknell United Kingdom
Yi-Hsuan Pan China
Naoyuki Sakai Japan
Katsuhiro FUKUTA Japan
Kazumi Yamada Japan
Stefano Castellana Italy
Maki Asami Japan
Vincenza Colonna Italy
Xuequn Chen China
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Citations per field
00.5×3.5×
Nallur B. Ramachandra · 1×
Citations per year

Countries citing papers authored by David Eccles

Since Specialization
Citations

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

Fields of papers citing papers by David Eccles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Eccles, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Eccles Line = papers co-authored together David Eccles links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015189
2 201657
3 201456
4 201852
5 201146
6 202134
7 201230
8 201826
9 201323
10 201821
11 202213
12 201912
13 201212
14 201511
15 20218
16 20158
17 20207
18 20176
19 20226
20 20104

About David Eccles

David Eccles is a scholar working on Molecular Biology, Genetics, Clinical Biochemistry, Cancer Research and Cellular and Molecular Neuroscience, having authored 34 papers that have together received 649 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), Metabolism and Genetic Disorders (3 papers), Genetic Associations and Epidemiology (3 papers), Folate and B Vitamins Research (2 papers), Seismic Imaging and Inversion Techniques (2 papers), Glaucoma and retinal disorders (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Molecular Biology Techniques and Applications (2 papers). The work is most often cited by research in Molecular Biology (311 citations), Genetics (120 citations), Aging (7 citations), Paleontology (29 citations) and Immunology (66 citations). David Eccles has collaborated with scholars based in New Zealand, Australia and United States. Frequent co-authors include Rod A. Lea, Miles C. Benton, Lyn R. Griffiths, Donia Macartney‐Coxson, Eric P. Hoffman, Mark Hayes, Richard S. Stubbs, A.C. Johnstone, Brennan Harmon and Geoffrey K. Chambers. Their work appears in journals such as PLoS ONE, Frontiers in Oncology, The American Journal of Human Genetics, Cell Reports and BMC Genetics.

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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