E. Munro

422 citations
12 papers · 315 · h-index 8

Impact in

    • Genetics and Neurodevelopmental Disorders
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
    • Neurogenetic and Muscular Disorders Research
    • Muscle Physiology and Disorders
    • RNA Research and Splicing

Papers in

    • Muscle Physiology and Disorders 5
    • CRISPR and Genetic Engineering 5
    • Mitochondrial Function and Pathology 2
    • RNA Research and Splicing 2
    • Animal Genetics and Reproduction 3
    • Bacterial Genetics and Biotechnology 2

E. Munro

11 papers receiving 301 citations

Peers

E. Munro
Comparison fields: 5 of 58
  • Genetics 43
  • Genetics 113
  • Molecular Biology 234
  • Cardiology and Cardiovascular Medicine 46
  • Hematology 22
Replace C R Müller with:
C R Müller Germany
A Bellan-Koch Germany
Michèle Mathieu‐Dramard France
Ruben Attali Israel
Karin Weiss Israel
Mohammad Miryounesi Iran
Anand Saggar United Kingdom
Alice M. George New Zealand
Tanja Lalic Serbia
Vincent J. Carson United States
E. Munro relative to C R Müller Germany C R Müller's profile →
Citations per field
00.5×1.5×1.8×
C R Müller · 1×
Citations per year

Countries citing papers authored by E. Munro

Since Specialization
Citations

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

Fields of papers citing papers by E. Munro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 198699
2 198673
3 198446
4 198741
5 199116
6 197811
7 198910
8 19928
9 19856
10
Muscular dystrophy ingirls withX;autosome translocations
19863
11 19832
12 20080

About E. Munro

E. Munro is a scholar working on Molecular Biology, Genetics, Clinical Biochemistry, Cardiology and Cardiovascular Medicine and Physiology, having authored 12 papers that have together received 315 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (5 papers), CRISPR and Genetic Engineering (5 papers), Animal Genetics and Reproduction (3 papers), Metabolism and Genetic Disorders (2 papers), Mitochondrial Function and Pathology (2 papers), Bacterial Genetics and Biotechnology (2 papers), RNA Research and Splicing (2 papers) and Adipose Tissue and Metabolism (1 paper). The work is most often cited by research in Genetics (43 citations), Genetics (113 citations), Molecular Biology (234 citations), Cardiology and Cardiovascular Medicine (46 citations) and Hematology (22 citations). E. Munro has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Yvonne Boyd, Ian Craig, Veronica J. Buckle, Scott M. Holt, David J. Hunter, Katherine L. Harper, Daniel Thomas, John Burn, S Povey and K.H. Andy Choo. Their work appears in journals such as Human Genetics, Journal of Medical Genetics, Clinical Genetics, Genomics and Annals of Human Genetics.

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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