G Riou

5.1k total citations
123 papers, 4.4k citations indexed

About

G Riou is a scholar working on Molecular Biology, Epidemiology and Oncology. According to data from OpenAlex, G Riou has authored 123 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Molecular Biology, 37 papers in Epidemiology and 35 papers in Oncology. Recurrent topics in G Riou's work include Cancer therapeutics and mechanisms (28 papers), Trypanosoma species research and implications (27 papers) and Biochemical and Molecular Research (20 papers). G Riou is often cited by papers focused on Cancer therapeutics and mechanisms (28 papers), Trypanosoma species research and implications (27 papers) and Biochemical and Molecular Research (20 papers). G Riou collaborates with scholars based in France, United States and Switzerland. G Riou's co-authors include Ute M. Moll, Jean Bénard, Arnold J. Levine, Michel Barrois, Etienne Delain, Michael P. LaQuaglia, Pierre Duvillard, Jean‐François Riou, Sétha Douc‐Rasy and Jean Bourhis and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

G Riou

118 papers receiving 4.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
G Riou France 37 2.6k 2.0k 871 692 412 123 4.4k
James L. Murray United States 41 2.0k 0.8× 2.6k 1.3× 358 0.4× 657 0.9× 158 0.4× 176 5.8k
K E Hellström United States 47 3.0k 1.2× 2.0k 1.0× 406 0.5× 244 0.4× 192 0.5× 106 7.1k
Freda K. Stevenson United Kingdom 65 4.4k 1.7× 2.4k 1.2× 587 0.7× 275 0.4× 319 0.8× 324 15.0k
John S. Stehlin United States 31 2.0k 0.8× 2.4k 1.2× 423 0.5× 330 0.5× 170 0.4× 86 4.4k
C. Richter King United States 42 5.0k 1.9× 4.2k 2.1× 557 0.6× 607 0.9× 398 1.0× 105 9.3k
Janet Plescia United States 38 6.1k 2.4× 2.4k 1.2× 586 0.7× 1.6k 2.3× 196 0.5× 52 8.8k
Daisy Carvajal United States 17 3.7k 1.4× 3.1k 1.5× 453 0.5× 631 0.9× 107 0.3× 18 6.5k
Enrique A. Mesri United States 30 1.7k 0.7× 3.1k 1.6× 1.9k 2.1× 549 0.8× 205 0.5× 60 5.5k
Christoph Driessen Switzerland 45 2.9k 1.1× 1.7k 0.8× 677 0.8× 687 1.0× 225 0.5× 144 5.8k
Richard S. Metzgar United States 34 2.4k 0.9× 1.1k 0.5× 334 0.4× 180 0.3× 79 0.2× 111 5.3k

Countries citing papers authored by G Riou

Since Specialization
Citations

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

Fields of papers citing papers by G Riou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G Riou

This figure shows the co-authorship network connecting the top 25 collaborators of G Riou. A scholar is included among the top collaborators of G Riou 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 G Riou. G Riou 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
1.
Riou, G, et al.. (2001). c-erbB-2 (HER-2/neu) gene amplification is a better indicator of poor prognosis than protein over-expression in operable breast-cancer patients. International Journal of Cancer. 95(4). 266–270. 38 indexed citations
2.
Ahomadegbe, J.C., Sophie Tourpin, Mourad Kaghad, et al.. (2000). Loss of heterozygosity, allele silencing and decreased expression of p73 gene in breast cancers: Prevalence of alterations in inflammatory breast cancers. Oncogene. 19(47). 5413–5418. 44 indexed citations
3.
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Vassal, Gilles, Marie‐José Terrier‐Lacombe, Arielle Lellouch‐Tubiana, et al.. (1996). Tumorigenicity of cerebellar primitive neuro-ectodermal tumors in athymic mice correlates with poor prognosis in children. International Journal of Cancer. 69(2). 146–151. 16 indexed citations
6.
Fajac, Anne, Jean Bénard, Catherine Lhommé, et al.. (1995). c‐crbB2 gene amplification and protein expression in ovarian epithelial tumors: Evaluation of their respective prognostic significance by multivariate analysis. International Journal of Cancer. 64(2). 146–151. 66 indexed citations
7.
Riou, G, et al.. (1995). The p53 and mdm‐2 genes in human testicular germ‐cell tumors. Molecular Carcinogenesis. 12(3). 124–131. 83 indexed citations
8.
Moll, Ute M., Anne G. Ostermeyer, Jean‐Charles Ahomadegbe, Marie‐Christine Mathieu, & G Riou. (1995). p53 Mediated tumor cell response to chemotherapeutic dna damage: A preliminary study in matched pairs of breast cancer biopsies. Human Pathology. 26(12). 1293–1301. 34 indexed citations
9.
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Madelaine, Isabelle, et al.. (1993). Sequential modifications of topoisomerase I activity in a camptothecin-resistant cell line established by progressive adaptation. Biochemical Pharmacology. 45(2). 339–348. 56 indexed citations
11.
Riou, G, Monique G. Lê, J P Travagli, Arnold J. Levine, & Ute M. Moll. (1993). Poor Prognosis of p53 Gene Mutation and Nuclear Overexpression of p53 Protein in Inflammatory Breast Carcinoma. JNCI Journal of the National Cancer Institute. 85(21). 1765–1767. 47 indexed citations
12.
Moll, Ute M., G Riou, & Arnold J. Levine. (1992). Two distinct mechanisms alter p53 in breast cancer: mutation and nuclear exclusion.. Proceedings of the National Academy of Sciences. 89(15). 7262–7266. 493 indexed citations
13.
Riou, G, et al.. (1992). Human Papillomavirus-Negative Status and c-mycGene Overexpression: Independent Prognostic Indicators of Distant Metastasis for Early-Stage Invasive Cervical Cancers. JNCI Journal of the National Cancer Institute. 84(19). 1525–1526. 31 indexed citations
14.
Riou, G, Michel Barrois, & D-C Zhou. (1991). Expression of anionic glutathione S transferase (GSTπ) gene in carcinomas of the uterine cervix and in normal cervices. British Journal of Cancer. 63(2). 191–194. 7 indexed citations
15.
Lefèvre, Dominique, et al.. (1991). Study of molecular markers of resistance to m-AMSA in a human breast cancer cell line. Biochemical Pharmacology. 41(12). 1967–1979. 34 indexed citations
16.
Bourhis, Jean, C Dominici, Heather P. McDowell, et al.. (1991). N-myc genomic content and DNA ploidy in stage IVS neuroblastoma.. Journal of Clinical Oncology. 9(8). 1371–1375. 44 indexed citations
17.
Bourhis, Jean, A. Gerbaulet, Dominique Jeannel, et al.. (1990). Prognostic value of c-myc proto-oncogene overexpression in early invasive carcinoma of the cervix.. Journal of Clinical Oncology. 8(11). 1789–1796. 36 indexed citations
18.
Bourhis, Jean, Jean Bénard, Olivier Hartmann, et al.. (1989). Correlation of MDR1 Gene Expression With Chemotherapy in Neuroblastoma. JNCI Journal of the National Cancer Institute. 81(18). 1401–1405. 99 indexed citations
19.
Bénard, Jean, et al.. (1989). Over‐expression of MDR gene with no dna amplification in a multiple‐drug‐resistant human ovarian carcinoma cell line. International Journal of Cancer. 43(3). 471–477. 29 indexed citations
20.
Delain, Etienne & G Riou. (1969). Ultrastructure des altérations du DNA du kinétoplaste de Trypanosoma cruzi traité par le bromure d'éthidium.. Comptes rendus hebdomadaires des séances de l Académie des sciences. 268(9). 5 indexed citations

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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