David J. Easty

1.4k citations
34 papers · 1.1k · h-index 16

Impact in

Papers in

    • Melanoma and MAPK Pathways 8
    • Protein Tyrosine Phosphatases 5
    • Molecular Biology Techniques and Applications 3
    • RNA regulation and disease 3
    • melanin and skin pigmentation 7
    • Skin and Cellular Biology Research 3

David J. Easty

33 papers receiving 1.0k citations

Peers

David J. Easty
Comparison fields: 5 of 86
  • Cell Biology 321
  • Immunology and Allergy 95
  • Cellular and Molecular Neuroscience 223
  • Molecular Biology 767
  • Oncology 241
Replace Fabrizio Dolfi with:
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Citations per field
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Citations per year

Countries citing papers authored by David J. Easty

Since Specialization
Citations

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

Fields of papers citing papers by David J. Easty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David J. Easty, 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 J. Easty Line = papers co-authored together David J. Easty 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 1998147
2 1997114
3 1999113
4 200095
5
Protein B61 as a new growth factor: expression of B61 and up-regulation of its receptor epithelial cell kinase during melanoma progression.
199595
6 201161
7 200653
8 199350
9
A study of ras gene mutations in colonic adenomas from familial polyposis coli patients.
198848
10 199947
11 199839
12 199337
13 200925
14
Tumor cell progression and differentiation in metastasis.
199123
15 199919
16 200518
17 199813
18 20039
19 20039
20 19998

About David J. Easty

David J. Easty is a scholar working on Molecular Biology, Cell Biology, Immunology and Allergy, Genetics and Pulmonary and Respiratory Medicine, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (8 papers), melanin and skin pigmentation (7 papers), Cell Adhesion Molecules Research (6 papers), Protein Tyrosine Phosphatases (5 papers), Biochemical Analysis and Sensing Techniques (3 papers), Skin and Cellular Biology Research (3 papers), Molecular Biology Techniques and Applications (3 papers) and RNA regulation and disease (3 papers). The work is most often cited by research in Cell Biology (321 citations), Immunology and Allergy (95 citations), Cellular and Molecular Neuroscience (223 citations), Molecular Biology (767 citations) and Oncology (241 citations). David J. Easty has collaborated with scholars based in United Kingdom, Ireland and United States. Frequent co-authors include Dorothy C. Bennett, Dorothy C. Bennett, Christine J. Farr, Viví Ann Flørenes, Simon P. Hill, Colin R. Goding, Suzanne Carreira, Ugur Yavuzer, Meenhard Herlyn and Richard A. Spritz. Their work appears in journals such as Electrophoresis, International Journal of Cancer, British Journal of Dermatology, Lung Cancer and Developmental Dynamics.

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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