C. Chassagne

876 citations
11 papers · 356 · h-index 8

Impact in

Papers in

C. Chassagne

10 papers receiving 349 citations

Peers

C. Chassagne
Comparison fields: 5 of 47
  • Neurology 98
  • Pathology and Forensic Medicine 109
  • Cardiology and Cardiovascular Medicine 129
  • Genetics 42
  • Molecular Biology 142
Replace Cécile Réyès with:
Cécile Réyès France
Kei Yamashiro Japan
Kohei Kano Japan
S. Rumpler Austria
A. Muhs Germany
Cody L. Nesvick United States
Masafumi Handa Japan
C. Fernandez France
Kenneth C. Loh United States
M. Janka Germany
C. Chassagne relative to Cécile Réyès France Cécile Réyès's profile →
Citations per field
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Cécile Réyès · 1×
Citations per year

Countries citing papers authored by C. Chassagne

Since Specialization
Citations

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

Fields of papers citing papers by C. Chassagne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 200294
2 199274
3 199265
4 200145
5 199337
6 199116
7 199811
8 200410
9 19962
10
[Improvement of an in vitro transcription method in nuclei isolated from heart myocytes from control and hemodynamically overloaded rats].
19912
11 20250

About C. Chassagne

C. Chassagne is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Physiology, having authored 11 papers that have together received 356 indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (4 papers), Muscle Physiology and Disorders (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Cardiovascular Effects of Exercise (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Sarcoma Diagnosis and Treatment (1 paper), Adipose Tissue and Metabolism (1 paper) and Antifungal resistance and susceptibility (1 paper). The work is most often cited by research in Neurology (98 citations), Pathology and Forensic Medicine (109 citations), Cardiology and Cardiovascular Medicine (129 citations), Genetics (42 citations) and Molecular Biology (142 citations). C. Chassagne has collaborated with scholars based in France, United States and Italy. Frequent co-authors include K Schwartz, C Wisnewsky, X. Martin, D. de la Bastie, Lucie Carrier, Edward G. Lakatta, F. Cavalli, Felice Pasini, Michele Reni and Emanuele Zucca. Their work appears in journals such as Annals of Oncology, Circulation Research, Journal of Biological Chemistry, Pediatric Blood & Cancer and Molecular and Cellular Biochemistry.

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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