Graham McClorey

2.4k citations
41 papers · 1.8k · h-index 24

Impact in

    • Muscle Physiology and Disorders
    • RNA Interference and Gene Delivery
    • Advanced biosensing and bioanalysis techniques
    • RNA Research and Splicing
    • CRISPR and Genetic Engineering
  • Genetics top 5%
    • Virus-based gene therapy research
    • Neurogenetic and Muscular Disorders Research

Papers in

Graham McClorey

40 papers receiving 1.8k citations

Peers

Graham McClorey
Comparison fields: 5 of 75
  • Molecular Biology 1.7k
  • Genetics 243
  • Genetics 353
  • Cancer Research 190
  • Cardiology and Cardiovascular Medicine 204
Replace Caroline Godfrey with:
Caroline Godfrey United Kingdom
Amer F. Saleh United Kingdom
Maqsood A. Wani United States
Takako Yoshida‐Moriguchi United States
Hollie A. Harper United States
Suzan M. Hammond United Kingdom
Joel R. Chamberlain United States
Giuliano Giuseppe Stirparo United Kingdom
Stéphanie Lorain France
Zhong-Liang Deng China
Graham McClorey relative to Caroline Godfrey United Kingdom Caroline Godfrey's profile →
Citations per field
00.5×1.5×1.8×
Caroline Godfrey · 1×
Citations per year

Countries citing papers authored by Graham McClorey

Since Specialization
Citations

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

Fields of papers citing papers by Graham McClorey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006159
2 2018129
3 2007128
4 2002119
5 2012118
6 2015110
7 2015106
8 201582
9 201379
10 200777
11 200768
12 201865
13 200653
14 201550
15 201549
16 201544
17 201538
18 201236
19 202035
20 201629

About Graham McClorey

Graham McClorey is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Genetics, Genetics and Surgery, having authored 41 papers that have together received 1.8k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (28 papers), RNA Interference and Gene Delivery (19 papers), RNA Research and Splicing (14 papers), Advanced biosensing and bioanalysis techniques (8 papers), Virus-based gene therapy research (7 papers), Neurogenetic and Muscular Disorders Research (6 papers), RNA modifications and cancer (5 papers) and Cardiomyopathy and Myosin Studies (5 papers). The work is most often cited by research in Molecular Biology (1.7k citations), Genetics (243 citations), Genetics (353 citations), Cancer Research (190 citations) and Cardiology and Cardiovascular Medicine (204 citations). Graham McClorey has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Matthew J. A. Wood, Steve D. Wilton, Sue Fletcher, Subhashis Banerjee, Michael J. Gait, Caroline Godfrey, Patrick L. Iversen, Hong M. Moulton, Thomas C. Roberts and Corinne Betts. Their work appears in journals such as Human Molecular Genetics, Molecular Therapy — Nucleic Acids, Nucleic Acid Therapeutics, Scientific Reports and Neuromuscular Disorders.

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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