Y. Hey

964 citations
27 papers · 762 · h-index 15

Impact in

    • Cancer Genomics and Diagnostics
    • Gene expression and cancer classification
    • Molecular Biology Techniques and Applications
    • 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 5
    • Single-cell and spatial transcriptomics 3
    • RNA Research and Splicing 3
    • Genomics and Chromatin Dynamics 3
    • Genomic variations and chromosomal abnormalities 3

Y. Hey

27 papers receiving 747 citations

Peers

Y. Hey
Comparison fields: 5 of 87
  • Cancer Research 122
  • Molecular Biology 497
  • Pathology and Forensic Medicine 61
  • Physiology 16
  • Oncology 79
Replace Taiping Shi with:
Taiping Shi China
Ning Zhu China
Elda Perlino Italy
Nicole Dalla Venezia France
Fleur Hammet Australia
Viera Kasparcova United States
Nadine Pelletier Canada
Waldemar Kolanus Germany
Andrew J.K. Williamson United Kingdom
Jill Ray United States
Y. Hey relative to Taiping Shi China Taiping Shi's profile →
Citations per field
00.5×1.5×1.8×
Taiping Shi · 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 199569
4 199566
5 200466
6 200865
7 200741
8 200938
9 201137
10 198324
11 200320
12 198818
13 199518
14 201417
15 199215
16 198910
17 19948
18 19954
19 19894
20 20093

About Y. Hey

Y. Hey is a scholar working on Molecular Biology, Genetics, Surgery, Plant Science and Pathology and Forensic Medicine, having authored 27 papers that have together received 762 indexed citations. Recurring topics across this work include Gene expression and cancer classification (8 papers), Molecular Biology Techniques and Applications (5 papers), Single-cell and spatial transcriptomics (3 papers), Genomic variations and chromosomal abnormalities (3 papers), RNA Research and Splicing (3 papers), Genomics and Chromatin Dynamics (3 papers), Cancer Genomics and Diagnostics (2 papers) and Adenosine and Purinergic Signaling (2 papers). The work is most often cited by research in Cancer Research (122 citations), Molecular Biology (497 citations), Pathology and Forensic Medicine (61 citations), Physiology (16 citations) and Oncology (79 citations). Y. Hey has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Stuart D Pepper, Crispin Miller, Michał Okoniewski, Yaoyong Li, James Bradford, Tim Yates, Gail McGown, Mauro Santibanez‐Koref, Claire Wilson and Robert B. Clarke. Their work appears in journals such as BioTechniques, Genomics, British Journal of Cancer, Human Genetics and BMC Genomics.

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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