Christophe Pichavant

482 citations
13 papers · 353 indexed · h-index 9
Topics
Muscle Physiology and Disorders (13 papers)Virus-based gene therapy research (4 papers)Tissue Engineering and Regenerative Medicine (3 papers)

In The Last Decade

Christophe Pichavant

13 papers receiving 350 citations

Peers

Christophe Pichavant
Comparison fields: 5 of 56
  • Molecular Biology 319
  • Genetics 76
  • Cardiology and Cardiovascular Medicine 65
  • Genetics 62
  • Surgery 48
Replace Virginie François with:
Virginie François France
M. Alejandra Zeballos C. United States
Margriet Hulsker Netherlands
William Lostal France
Ngoc Lu‐Nguyen United Kingdom
Shahab Younesi United States
Claire Massey United Kingdom
Rachel Harron United Kingdom
Greg Martin United States
Maria Sofia Falzarano Italy
Christophe Pichavant relative to Virginie François France Virginie François's profile →
Citations per field
00.5×1.5×2.4×
Virginie François · 1×
Citations per year

Countries citing papers authored by Christophe Pichavant

Since Specialization
Citations

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

Fields of papers citing papers by Christophe Pichavant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christophe Pichavant

This figure shows the co-authorship network connecting the top 25 collaborators of Christophe Pichavant. A scholar is included among the top collaborators of Christophe Pichavant 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 Christophe Pichavant. Christophe Pichavant is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 9
2 7
3 2
4 25
5 11
6 50
7 140
8 7
9 2
10 52
11 22
12 14
13 12

About Christophe Pichavant

Christophe Pichavant is a scholar working on Genetics, Sensory Systems and Molecular Biology, having authored 13 papers that have together received 353 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (13 papers), Virus-based gene therapy research (4 papers) and Tissue Engineering and Regenerative Medicine (3 papers). The work is most often cited by research in Genetics (62 citations), Molecular Biology (319 citations) and Business and International Management (9 citations). Christophe Pichavant has collaborated with scholars based in United States, Canada and Brazil. Frequent co-authors include Grace K. Pavlath, Jacques P. Tremblay, Pierre Chapdelaine, Shin’ichi Takeda, George Dickson, Xiao Xiao, Kay E. Davies, Annemieke Aartsma‐Rus, Steve D. Wilton and Jon A. Wolff. Their work appears in journals such as American Journal of Physiology-Cell Physiology, Molecular Therapy and Gene 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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