F Rougeon

858 citations
17 papers · 721 indexed · h-index 14

Impact in

Papers in

F Rougeon

17 papers receiving 669 citations

Peers

F Rougeon
Comparison fields: 5 of 71
  • Endocrinology, Diabetes and Metabolism 129
  • Cardiology and Cardiovascular Medicine 157
  • Molecular Biology 465
  • Genetics 145
  • Immunology 97
Replace K. Kariya with:
K. Kariya Japan
John J. Merendino United States
V. Lemas United States
S Ahle Germany
Miwa Sohda Japan
Daniel Céfaï France
T Tominaga Japan
Graham S. Bailey United Kingdom
S K Hu United States
J. Rochemont Canada
F Rougeon relative to K. Kariya Japan K. Kariya's profile →
Citations per field
00.5×4.1×
K. Kariya · 1×
Citations per year

Countries citing papers authored by F Rougeon

Since Specialization
Citations

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

Fields of papers citing papers by F Rougeon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside F Rougeon, 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 F Rougeon Line = papers co-authored together F Rougeon links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 199727
2
Renin-promoter SV40 large T-antigen transgenes induce tumors irrespective of normal cellular expression of renin genes.
198931
3 1989103
4 198847
5 198729
6 198478
7 198314
8 198329
9 198325
10
Mouse submaxillary renin: a useful model for the study of renal renin.
19834
11 1983108
12 198246
13 198078
14 197957
15 197740
16
[Insertion of mouse kappa light chain immunoglobulin gene sequences into a bacterial plasmid].
19771
17 19774

About F Rougeon

F Rougeon is a scholar working on Animal Science and Zoology, Cell Biology, Immunology and Allergy, Molecular Biology and Immunology, having authored 17 papers that have together received 721 indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (3 papers), Glycosylation and Glycoproteins Research (2 papers), T-cell and B-cell Immunology (2 papers), Adipose Tissue and Metabolism (2 papers), RNA and protein synthesis mechanisms (2 papers), DNA and Nucleic Acid Chemistry (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Pharmacological Effects and Assays (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (129 citations), Cardiology and Cardiovascular Medicine (157 citations), Molecular Biology (465 citations), Genetics (145 citations) and Immunology (97 citations). F Rougeon has collaborated with scholars based in France. Frequent co-authors include Roger Ollo, Diana Tronik, Jean‐Jacques Panthier, Inge Holm, Marc Ekker, Bernard Mach, Béatrice Chambraud, Charles Auffray, Isabelle Rosinski‐Chupin and Marc Dreyfus. Their work appears in journals such as The EMBO Journal, Cell, Nucleic Acids Research, Proceedings of the National Academy of Sciences and The Journal of Immunology.

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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