Y. Hey

959 citations
27 papers · 774 indexed · h-index 16

Impact in

    • Cancer Genomics and Diagnostics
    • Cancer-related molecular mechanisms research
    • Molecular Biology Techniques and Applications
    • Gene expression and cancer classification
    • RNA Research and Splicing
    • Genomics and Chromatin Dynamics
    • RNA modifications and cancer
    • Bioinformatics and Genomic Networks

Papers in

    • Gene expression and cancer classification 8
    • Molecular Biology Techniques and Applications 7
    • Single-cell and spatial transcriptomics 5
    • Genomics and Chromatin Dynamics 3
    • RNA Research and Splicing 3
    • Advanced biosensing and bioanalysis techniques 2

Y. Hey

27 papers receiving 757 citations

Peers

Y. Hey
Comparison fields: 5 of 94
  • Cancer Research 155
  • Molecular Biology 587
  • Genetics 103
  • Pathology and Forensic Medicine 66
  • Physiology 16
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Y. Hey relative to Nicholas T. Woods United States Nicholas T. Woods's profile →
Citations per field
00.5×1.5×1.8×
Nicholas T. Woods · 1×
Citations per year

Countries citing papers authored by Y. Hey

Since Specialization
Citations

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

Fields of papers citing papers by Y. Hey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Y. Hey, 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 Y. Hey Line = papers co-authored together Y. Hey links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008118
2 2010111
3 199568
4 199566
5 200466
6 200865
7 200741
8 200939
9 201137
10 198324
11 200320
12 199518
13 198818
14 201416
15 199215
16 199715
17 198910
18 19948
19 19954
20 19894

About Y. Hey

Y. Hey is a scholar working on Physiology, Molecular Biology, Cancer Research, Genetics and Immunology and Allergy, having authored 27 papers that have together received 774 indexed citations. Recurring topics across this work include Gene expression and cancer classification (8 papers), Molecular Biology Techniques and Applications (7 papers), Single-cell and spatial transcriptomics (5 papers), Genomics and Chromatin Dynamics (3 papers), RNA Research and Splicing (3 papers), Cancer Genomics and Diagnostics (3 papers), Genomic variations and chromosomal abnormalities (3 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Cancer Research (155 citations), Molecular Biology (587 citations), Genetics (103 citations), Pathology and Forensic Medicine (66 citations) and Physiology (16 citations). Y. Hey has collaborated with scholars based in United Kingdom, Germany and France. Frequent co-authors include Stuart D Pepper, Crispin Miller, Michał Okoniewski, Yaoyong Li, Tim Yates, James Bradford, Gail McGown, Mauro Santibanez‐Koref, Claire Wilson and Andrew H. Sims. Their work appears in journals such as BioTechniques, British Journal of Cancer, Genomics, Human Genetics and Biochemical 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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