Thomas Krag

3.7k citations
83 papers · 2.7k · 1 hit paper · h-index 24

Impact in

Papers in

Thomas Krag

79 papers receiving 2.7k citations

Hit Papers

Functional improvement of dystrophic muscle by myostatin blockade 2002 · 651 citations
6510+8+16Years since publication200400600

Peers

Thomas Krag
Comparison fields: 5 of 103
  • Rehabilitation 265
  • Molecular Biology 2.2k
  • Genetics 323
  • Cell Biology 452
  • Physiology 629
Replace Anne Picard with:
Anne Picard Italy
Giulia Milan Italy
Martin Brockington United Kingdom
Laura Barberi Italy
Erqian Na United States
Sabrina Sacconi France
Shinji Hatakeyama Japan
David Sala Spain
Claudio Bruno Italy
Lionel Tintignac Switzerland
Thomas Krag relative to Anne Picard Italy Anne Picard's profile →
Citations per field
00.5×1.5×1.8×
Anne Picard · 1×
Citations per year

Countries citing papers authored by Thomas Krag

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Krag

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Functional improvement of dystrophic muscle by myostatin blockade
Hit paper breakdown →
2002651
2 1999225
3 2005190
4 2006157
5 1999103
6 200898
7 200497
8 200478
9 199569
10 200768
11 201967
12 201357
13 201251
14 201247
15 201943
16 200935
17 202132
18 201432
19 200729
20 201927

About Thomas Krag

Thomas Krag is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Rheumatology and Genetics, having authored 83 papers that have together received 2.7k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (38 papers), Genetic Neurodegenerative Diseases (17 papers), Mitochondrial Function and Pathology (14 papers), Cardiomyopathy and Myosin Studies (13 papers), Glycogen Storage Diseases and Myoclonus (13 papers), Neurogenetic and Muscular Disorders Research (9 papers), Genetics and Neurodevelopmental Disorders (7 papers) and Neurological disorders and treatments (6 papers). The work is most often cited by research in Rehabilitation (265 citations), Molecular Biology (2.2k citations), Genetics (323 citations), Cell Biology (452 citations) and Physiology (629 citations). Thomas Krag has collaborated with scholars based in Denmark, United States and Spain. Frequent co-authors include Tejvir S. Khurana, John Vissing, Sasha Bogdanovich, Elisabeth R. Barton, Rexford S. Ahima, Simon Hauerslev, Tina D. Jeppesen, Morten Dunø, Kelly J. Perkins and Steen Gammeltoft. Their work appears in journals such as Neuromuscular Disorders, Muscle & Nerve, Human Mutation, Journal of Neuropathology & Experimental Neurology and Frontiers in Physiology.

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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