Glenn E. Morris

10.0k citations
198 papers · 8.2k · h-index 53

Impact in

  • Genetics top 0.5%
    • Neurogenetic and Muscular Disorders Research
    • Virus-based gene therapy research
    • Muscle Physiology and Disorders
    • RNA Research and Splicing
    • Nuclear Structure and Function
    • RNA modifications and cancer

Papers in

    • Muscle Physiology and Disorders 80
    • RNA Research and Splicing 45
    • Nuclear Structure and Function 31
    • RNA modifications and cancer 17

Glenn E. Morris

196 papers receiving 7.9k citations

Peers

Glenn E. Morris
Comparison fields: 5 of 145
  • Genetics 1.4k
  • Molecular Biology 6.9k
  • Rehabilitation 475
  • Cellular and Molecular Neuroscience 1.1k
  • Cell Biology 854
Replace Michael Kyba with:
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Glenn E. Morris relative to Michael Kyba United States Michael Kyba's profile →
Citations per field
00.5×1.5×2.4×
Michael Kyba · 1×
Citations per year

Countries citing papers authored by Glenn E. Morris

Since Specialization
Citations

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

Fields of papers citing papers by Glenn E. Morris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 198 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003321
2 1991249
3 1995213
4 2000211
5 2008181
6 2000178
7 2000167
8 2008166
9 2002164
10 1992155
11 2004142
12 1992139
13 2000133
14 1993130
15 1993127
16 2001127
17 2002126
18 1991121
19 2005119
20 1992117

About Glenn E. Morris

Glenn E. Morris is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Genetics, having authored 198 papers that have together received 8.2k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (80 papers), RNA Research and Splicing (45 papers), Nuclear Structure and Function (31 papers), Cardiomyopathy and Myosin Studies (23 papers), Monoclonal and Polyclonal Antibodies Research (22 papers), Neurogenetic and Muscular Disorders Research (20 papers), Genetic Neurodegenerative Diseases (18 papers) and RNA modifications and cancer (17 papers). The work is most often cited by research in Genetics (1.4k citations), Molecular Biology (6.9k citations), Rehabilitation (475 citations), Cellular and Molecular Neuroscience (1.1k citations) and Cell Biology (854 citations). Glenn E. Morris has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Nguyen thi Mân, Kay E. Davies, Donald R. Love, Caroline A. Sewry, Arthur H.M. Burghes, Ian Holt, S. Manilal, Nguyen thi Man, R. J. Cole and T M Nguyen. Their work appears in journals such as Neuromuscular Disorders, Biochemical Society Transactions, Biochemical and Biophysical Research Communications, FEBS Letters and Biochemical Journal.

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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