Edward Nylen

1.1k citations
17 papers · 940 · h-index 12

Impact in

Papers in

Edward Nylen

17 papers receiving 889 citations

Peers

Edward Nylen
Comparison fields: 5 of 71
  • Cellular and Molecular Neuroscience 221
  • Molecular Biology 824
  • Genetics 112
  • Cardiology and Cardiovascular Medicine 183
  • Cell Biology 132
Replace Hisaomi Kawai with:
Hisaomi Kawai Japan
Eri Kondo-Iida Japan
Sophie Currier United States
Alice Steinbrecher Germany
Angela Belsito Italy
Séverine Groh United States
Maria-Rita Passos-Bueno Brazil
Marco Savarese Finland
Paola Prandini Italy
Paolo Laveder Italy
Edward Nylen relative to Hisaomi Kawai Japan Hisaomi Kawai's profile →
Citations per field
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Hisaomi Kawai · 1×
Citations per year

Countries citing papers authored by Edward Nylen

Since Specialization
Citations

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

Fields of papers citing papers by Edward Nylen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2002202
2 1999145
3 2000104
4 199894
5 198880
6
Limb-girdle muscular dystrophy and Miyoshi myopathy in an aboriginal Canadian kindred map to LGMD2B and segregate with the same haplotype.
199677
7 200457
8 199150
9 198830
10 199126
11 198517
12 198317
13 199711
14 200410
15 200610
16 19776
17 19934

About Edward Nylen

Edward Nylen is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Cell Biology and Endocrinology, Diabetes and Metabolism, having authored 17 papers that have together received 940 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (10 papers), Genetic Neurodegenerative Diseases (7 papers), Muscle metabolism and nutrition (4 papers), Hormonal and reproductive studies (3 papers), Cardiomyopathy and Myosin Studies (3 papers), RNA Research and Splicing (3 papers), Mitochondrial Function and Pathology (2 papers) and Sexual Differentiation and Disorders (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (221 citations), Molecular Biology (824 citations), Genetics (112 citations), Cardiology and Cardiovascular Medicine (183 citations) and Cell Biology (132 citations). Edward Nylen has collaborated with scholars based in Canada, United Kingdom and Netherlands. Frequent co-authors include Klaus Wrogemann, Cheryl R. Greenberg, Tracey Weiler, Kenneth Morgan, Takuya Fujiwara, Eduardo Rosenmann, Patrick Frosk, Thangirala Sudha, Marshall J. Glesby and Kate Bushby. Their work appears in journals such as The American Journal of Human Genetics, Biochimica et Biophysica Acta (BBA) - Bioenergetics, Human Molecular Genetics, Transfusion and Biochemical and Biophysical Research Communications.

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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