Stuart Murray

1.7k citations
10 papers · 409 · h-index 6

Impact in

Papers in

    • Epigenetics and DNA Methylation 3
    • RNA modifications and cancer 3
    • PI3K/AKT/mTOR signaling in cancer 2
    • Fungal and yeast genetics research 1
    • Bioinformatics and Genomic Networks 1
    • Kruppel-like factors research 1
    • Cancer Genomics and Diagnostics 1

Stuart Murray

9 papers receiving 399 citations

Peers

Stuart Murray
Comparison fields: 5 of 57
  • Hematology 76
  • Cancer Research 79
  • Genetics 53
  • Molecular Biology 285
  • Immunology 56
Replace Elizabeth J. Hindmarsh with:
Elizabeth J. Hindmarsh United States
Nikola Čuřík Czechia
Scott E. Millman United States
Li‐Qun Zhang China
Le Xuan Truong Nguyen United States
Nathaniel P. Delos Santos United States
Jennifer S. Carew United States
Daniel Sasca Germany
Kerstin Maria Kampa-Schittenhelm Germany
Shaun Willimott United Kingdom
Stuart Murray relative to Elizabeth J. Hindmarsh United States Elizabeth J. Hindmarsh's profile →
Citations per field
00.5×5.9×
Elizabeth J. Hindmarsh · 1×
Citations per year

Countries citing papers authored by Stuart Murray

Since Specialization
Citations

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

Fields of papers citing papers by Stuart Murray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2014132
2 200192
3 200388
4 200841
5 201434
6 201116
7 19914
8 20131
9 20141
10 20260

About Stuart Murray

Stuart Murray is a scholar working on Molecular Biology, Cancer Research, Genetics, Cellular and Molecular Neuroscience and Oncology, having authored 10 papers that have together received 409 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (3 papers), RNA modifications and cancer (3 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Cancer Genomics and Diagnostics (1 paper), Fungal and yeast genetics research (1 paper), Bioinformatics and Genomic Networks (1 paper), Neuroscience and Neuropharmacology Research (1 paper) and Kruppel-like factors research (1 paper). The work is most often cited by research in Hematology (76 citations), Cancer Research (79 citations), Genetics (53 citations), Molecular Biology (285 citations) and Immunology (56 citations). Stuart Murray has collaborated with scholars based in United States, Belgium and Australia. Frequent co-authors include Grant A. Hartzog, Gregory Prelich, Sheng Yao, Arthur I. Skoultchi, Tomáš Stopka, Natasha Rekhtman, Igor Matushansky, Kevin S. Choe, Sam Agresta and Jeremy Travins. Their work appears in journals such as Molecular and Cellular Biology, Bioinformatics, Cell Reports Medicine, Blood and Molecular BioSystems.

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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