Christophe Chassagnole

1.1k citations
37 papers · 826 indexed · h-index 13
Topics
Microbial Metabolic Engineering and Bioproduction (12 papers)Mathematical Biology Tumor Growth (5 papers)Bacterial Genetics and Biotechnology (5 papers)
Journals
Journal of Clinical OncologySHILAP Revista de lepidopterologíaApplied and Environmental Microbiology

In The Last Decade

Christophe Chassagnole

30 papers receiving 803 citations

Peers

Christophe Chassagnole
Comparison fields: 5 of 74
  • Molecular Biology 752
  • Biomedical Engineering 133
  • Genetics 109
  • Biochemistry 57
  • Materials Chemistry 54
Replace E Selkov with:
E Selkov United States
Sebastian Niedenführ Germany
Benjamín J. Sánchez Denmark
Gunnar Schramm Germany
J. Rankin SMALL United Kingdom
Iván Domenzain Sweden
Anke Licht Germany
Eva Šebestová Czechia
Mitsuaki Sugahara Japan
Hannes Link Switzerland
Christophe Chassagnole relative to E Selkov United States E Selkov's profile →
Citations per field
00.5×7.3×
E Selkov · 1×
Citations per year

Countries citing papers authored by Christophe Chassagnole

Since Specialization
Citations

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

Fields of papers citing papers by Christophe Chassagnole

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christophe Chassagnole

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

All Works

20 of 20 papers shown
#WorkIndexed citations
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2 2
3 3
4 2
5 1
6 1
7 1
8 1
9 15
10
Systems biology analysis of a novel Aurora kinase inhibitor: CYC116
1
11 21
12 8
13 35
14 37
15 1
16 395
17 45
18 37
19 16
20 52

About Christophe Chassagnole

Christophe Chassagnole is a scholar working on Modeling and Simulation, Biochemistry and Oncology, having authored 37 papers that have together received 826 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (12 papers), Mathematical Biology Tumor Growth (5 papers) and Bacterial Genetics and Biotechnology (5 papers). The work is most often cited by research in Molecular Biology (752 citations), Biochemistry (57 citations) and Neurology (42 citations). Christophe Chassagnole has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Joachim Schmid, Klaus Mauch, Naruemol Noisommit‐Rizzi, Matthias Reuß, David A. Fell, Badr RAÏS, Jean‐Pierre Mazat, N.D. Lindley, Armel Guyonvarch and Fabien Létisse. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Applied and Environmental Microbiology.

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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