Simon S. McDade

3.0k citations
55 papers · 1.6k · h-index 24

Impact in

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

Papers in

    • Ubiquitin and proteasome pathways 5
    • Cell death mechanisms and regulation 5
    • Bioinformatics and Genomic Networks 5
    • RNA modifications and cancer 5
    • Epigenetics and DNA Methylation 4
    • Gene expression and cancer classification 4
    • Cancer-related Molecular Pathways 15

Simon S. McDade

53 papers receiving 1.6k citations

Peers

Simon S. McDade
Comparison fields: 5 of 100
  • Cancer Research 314
  • Oncology 534
  • Otorhinolaryngology 76
  • Molecular Biology 908
  • Immunology 162
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Esra Gündüz Japan
Leigh B. Thorne United States
Barbara Frederick United States
Man-Zhi Li China
Chi Hang Wong Hong Kong
Darawalee Wangsa United States
Hui Sun Leong United Kingdom
Hiu Wing Cheung China
Carter Van Waes United States
Hiroshi Ogawa Japan
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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 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021120
2 2017110
3 2016106
4 201187
5 201277
6 200576
7 201067
8 201965
9 201753
10 202053
11 201053
12 201451
13 200747
14 200545
15 202041
16 201139
17 201434
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 55 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (15 papers), Ubiquitin and proteasome pathways (5 papers), Cell death mechanisms and regulation (5 papers), Bioinformatics and Genomic Networks (5 papers), RNA modifications and cancer (5 papers), Epigenetics and DNA Methylation (4 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 (314 citations), Oncology (534 citations), Otorhinolaryngology (76 citations), Molecular Biology (908 citations) and Immunology (162 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, Clinical Cancer Research, Cancer Research, BMC Bioinformatics and Cancers.

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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