Christel van Erp

2.0k citations
8 papers · 1.6k indexed · 1 hit paper · h-index 7
Topics
Muscle Physiology and Disorders (5 papers)Connective tissue disorders research (4 papers)Cardiomyopathy and Myosin Studies (3 papers)

In The Last Decade

Christel van Erp

8 papers receiving 1.6k citations

Hit Papers

Angiotensin II type 1 receptor blockade attenuates TGF-β–...20072026201320192007100200300400500

Peers

Christel van Erp
Comparison fields: 5 of 77
  • Molecular Biology 681
  • Genetics 667
  • Pulmonary and Respiratory Medicine 529
  • Cardiology and Cardiovascular Medicine 413
  • Surgery 253
Replace Takeshi Tsuda with:
Takeshi Tsuda United States
Tammy M. Holm United States
Jon Andoni Urtizberea France
Derek P. DiRocco United States
Kazuhiro Kobuke Japan
Arshia Soleimani United States
Jennifer Habashi United States
Ralf Herrmann Germany
Marie K. Schluterman United States
Toshiyuki Yamagishi Japan
Christel van Erp relative to Takeshi Tsuda United States Takeshi Tsuda's profile →
Citations per field
00.5×1.5×1.9×
Takeshi Tsuda · 1×
Citations per year

Countries citing papers authored by Christel van Erp

Since Specialization
Citations

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

Fields of papers citing papers by Christel van Erp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christel van Erp. 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 Christel van Erp. The network helps show where Christel van Erp may publish in the future.

Co-authorship network of co-authors of Christel van Erp

This figure shows the co-authorship network connecting the top 25 collaborators of Christel van Erp. A scholar is included among the top collaborators of Christel van Erp based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Christel van Erp. Christel van Erp is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
#WorkIndexed citations
1 183
2 191
3 355
4 52
5 210
6
Angiotensin II type 1 receptor blockade attenuates TGF-β–induced failure of muscle regeneration in multiple myopathic statesbreakdown →
542
7 3
8 59

About Christel van Erp

Christel van Erp is a scholar working on Cardiology and Cardiovascular Medicine, Genetics and Pulmonary and Respiratory Medicine, having authored 8 papers that have together received 1.6k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (5 papers), Connective tissue disorders research (4 papers) and Cardiomyopathy and Myosin Studies (3 papers). The work is most often cited by research in Genetics (667 citations), Cardiology and Cardiovascular Medicine (413 citations) and Pulmonary and Respiratory Medicine (529 citations). Christel van Erp has collaborated with scholars based in United States, Australia and Switzerland. Frequent co-authors include Harry C. Dietz, Jennifer Habashi, Bart Loeys, Tammy M. Holm, Daniel P. Judge, Christopher W. Ward, Ronald D. Cohn, Arshia Soleimani, Francesco Ramirez and Florian Schoenhoff. Their work appears in journals such as Science, Circulation and Journal of Clinical Investigation.

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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