Daniel Skuk

2.9k citations
70 papers · 2.4k · h-index 29

Impact in

  • Genetics top 1%
    • Mesenchymal stem cell research
    • Virus-based gene therapy research
    • Neurogenetic and Muscular Disorders Research

Papers in

    • Muscle Physiology and Disorders 56
    • Pluripotent Stem Cells Research 13
    • Mesenchymal stem cell research 23
    • Neurogenetic and Muscular Disorders Research 11
    • Virus-based gene therapy research 8

Daniel Skuk

68 papers receiving 2.2k citations

Peers

Daniel Skuk
Comparison fields: 5 of 77
  • Genetics 829
  • Transplantation 113
  • Molecular Biology 2.1k
  • Surgery 1.1k
  • Biomaterials 192
Replace Diana J. Watt with:
Diana J. Watt United Kingdom
Isabelle Asselin Canada
Shohei Wakao Japan
A Innocenzi Italy
Laura Perani Italy
Natássia M. Vieira Brazil
Nanako Takizawa Japan
Andrew S. Lee United States
Elizabeth E. Zubrzycka‐Gaarn Canada
Arianna Dellavalle Italy
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Citations per field
00.5×3.8×
Diana J. Watt · 1×
Citations per year

Countries citing papers authored by Daniel Skuk

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Skuk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006179
2 2004160
3 2006159
4 1997105
5 200289
6 199987
7 200784
8
Myoblast transplantation: the current status of a potential therapeutic tool for myopathies.
200383
9 200378
10 200367
11 200066
12 200063
13 200462
14 201055
15 200250
16 201150
17 201048
18 200446
19 200642
20 200742

About Daniel Skuk

Daniel Skuk is a scholar working on Molecular Biology, Genetics, Surgery, Transplantation and Genetics, having authored 70 papers that have together received 2.4k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (56 papers), Mesenchymal stem cell research (23 papers), Tissue Engineering and Regenerative Medicine (19 papers), Organ and Tissue Transplantation Research (16 papers), Pluripotent Stem Cells Research (13 papers), Neurogenetic and Muscular Disorders Research (11 papers), Virus-based gene therapy research (8 papers) and Genetic Neurodegenerative Diseases (5 papers). The work is most often cited by research in Genetics (829 citations), Transplantation (113 citations), Molecular Biology (2.1k citations), Surgery (1.1k citations) and Biomaterials (192 citations). Daniel Skuk has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Jacques P. Tremblay, M Goulet, Brigitte Roy, Pierre Chapdelaine, Jean‐Pierre Bouchard, Michel Sylvain, Jean-Guy Lachance, Raynald Roy, F.J. Dugré and Nicolas Caron. Their work appears in journals such as Cell Transplantation, Molecular Therapy, Journal of Neuropathology & Experimental Neurology, Neuromuscular Disorders and Expert Opinion on Biological Therapy.

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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