Jean‐Claude Chuat

1.2k citations
32 papers · 591 indexed · h-index 13
Topics
Virus-based gene therapy research (11 papers)Animal Virus Infections Studies (6 papers)RNA and protein synthesis mechanisms (6 papers)
Partner nations
FranceSwedenPuerto Rico

In The Last Decade

Jean‐Claude Chuat

31 papers receiving 571 citations

Peers

Jean‐Claude Chuat
Comparison fields: 5 of 75
  • Molecular Biology 300
  • Genetics 187
  • Cardiology and Cardiovascular Medicine 148
  • Endocrinology, Diabetes and Metabolism 120
  • Surgery 96
Replace Katsuya Inagaki with:
Katsuya Inagaki Japan
Masao Yamanaka Japan
Heino Diringer Germany
Lucía Peña Spain
İbrahim Yaman United States
Adela Mújica Mexico
Noaman Hasan United States
José-Luis Castrillo United States
Martin L. Brock United States
M. Christine Bruce Canada
Jean‐Claude Chuat relative to Katsuya Inagaki Japan Katsuya Inagaki's profile →
Citations per field
00.5×7.5×
Katsuya Inagaki · 1×
Citations per year

Countries citing papers authored by Jean‐Claude Chuat

Since Specialization
Citations

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

Fields of papers citing papers by Jean‐Claude Chuat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean‐Claude Chuat. 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 Jean‐Claude Chuat. The network helps show where Jean‐Claude Chuat may publish in the future.

Co-authorship network of co-authors of Jean‐Claude Chuat

This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Claude Chuat. A scholar is included among the top collaborators of Jean‐Claude Chuat 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 Jean‐Claude Chuat. Jean‐Claude Chuat 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
1 89
2 2
3 19
4 34
5 5
6 12
7 21
8 10
9 3
10 6
11 15
12 32
13 17
14 19
15 189
16 0
17 4
18 4
19 37
20 5

About Jean‐Claude Chuat

Jean‐Claude Chuat is a scholar working on Genetics, Animal Science and Zoology and Molecular Biology, having authored 32 papers that have together received 591 indexed citations. Recurring topics across this work include Virus-based gene therapy research (11 papers), Animal Virus Infections Studies (6 papers) and RNA and protein synthesis mechanisms (6 papers). The work is most often cited by research in Biochemistry (70 citations), Endocrinology, Diabetes and Metabolism (120 citations) and Genetics (187 citations). Jean‐Claude Chuat has collaborated with scholars based in France, Sweden and Puerto Rico. Frequent co-authors include Francis Galibert, Caroline Pilon, J Etienne, Meng‐Er Huang, Detlev Ameis, Karen L. Svenson, Camilla Heinzmann, Todd G. Kirchgessner, Ali Andalibi and S Guilhot. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Molecular Biology.

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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