Simon S. McDade

3.0k citations
56 papers · 1.7k · h-index 24

Impact in

    • Cancer Genomics and Diagnostics
    • Cancer-related molecular mechanisms research
  • Oncology top 5%
    • Cancer-related Molecular Pathways

Papers in

    • RNA modifications and cancer 6
    • Ubiquitin and proteasome pathways 5
    • Epigenetics and DNA Methylation 5
    • Cell death mechanisms and regulation 5
    • Bioinformatics and Genomic Networks 5
    • Gene expression and cancer classification 4
    • Cancer-related Molecular Pathways 16

Simon S. McDade

54 papers receiving 1.6k citations

Peers

Simon S. McDade
Comparison fields: 5 of 103
  • Cancer Research 322
  • Oncology 547
  • Otorhinolaryngology 78
  • Molecular Biology 925
  • Pathology and Forensic Medicine 133
Replace Man-Zhi Li with:
Man-Zhi Li China
Leigh B. Thorne United States
Amy E. McCart Reed Australia
Darawalee Wangsa United States
Suki Kang South Korea
Hui Sun Leong United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Simon S. McDade

Since Specialization
Citations

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

Fields of papers citing papers by Simon S. McDade

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simon S. McDade. 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 Simon S. McDade. The network helps show where Simon S. McDade may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021121
2 2017112
3 2016108
4 201192
5 201277
6 200576
7 201068
8 201967
9 201756
10 201455
11 201054
12 202053
13 200747
14 200545
15 202043
16 201442
17 201140
18 201631
19 202031
20 201528

About Simon S. McDade

Simon S. McDade is a scholar working on Molecular Biology, Oncology, Cancer Research, Epidemiology and Cell Biology, having authored 56 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (16 papers), RNA modifications and cancer (6 papers), Ubiquitin and proteasome pathways (5 papers), Epigenetics and DNA Methylation (5 papers), Cell death mechanisms and regulation (5 papers), Bioinformatics and Genomic Networks (5 papers), Cancer Genomics and Diagnostics (4 papers) and Gene expression and cancer classification (4 papers). The work is most often cited by research in Cancer Research (322 citations), Oncology (547 citations), Otorhinolaryngology (78 citations), Molecular Biology (925 citations) and Pathology and Forensic Medicine (133 citations). Simon S. McDade has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include Dennis J. McCance, D. Patel, Peter A. Hall, Paula L. Hyland, Daniel B. Longley, S.E. Hilary Russell, Adam Pickard, Martin Fischer, Ken Arthur and Declan J. McKenna. Their work appears in journals such as Nucleic Acids Research, Cancer Research, Clinical Cancer Research, BMC Bioinformatics and Journal of Virology.

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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