Gabrielle Maume

427 total citations
20 papers, 365 citations indexed

About

Gabrielle Maume is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Gabrielle Maume has authored 20 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Endocrinology, Diabetes and Metabolism and 4 papers in Surgery. Recurrent topics in Gabrielle Maume's work include Hormonal and reproductive studies (4 papers), Cholesterol and Lipid Metabolism (4 papers) and Hormonal Regulation and Hypertension (3 papers). Gabrielle Maume is often cited by papers focused on Hormonal and reproductive studies (4 papers), Cholesterol and Lipid Metabolism (4 papers) and Hormonal Regulation and Hypertension (3 papers). Gabrielle Maume collaborates with scholars based in France and United States. Gabrielle Maume's co-authors include B.F. Maume, P Padieu, Leslie A. Weston, Roger Bessis, Philippe Jeandet, Marielle Adrian, Philippe Meunier, Paulette Bournot, Michel Prost and F Barbier and has published in prestigious journals such as Analytical Chemistry, Analytical Biochemistry and Journal of Agricultural and Food Chemistry.

In The Last Decade

Gabrielle Maume

20 papers receiving 333 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gabrielle Maume France 10 140 65 64 48 44 20 365
Okuda Hiromichi Japan 7 152 1.1× 9 0.1× 156 2.4× 62 1.3× 10 0.2× 8 401
Minna Rahnasto‐Rilla Finland 14 233 1.7× 23 0.4× 223 3.5× 21 0.4× 15 0.3× 29 625
Athina Damianaki Greece 6 189 1.4× 8 0.1× 108 1.7× 70 1.5× 36 0.8× 8 564
Adi S. Virji United States 8 190 1.4× 6 0.1× 96 1.5× 29 0.6× 29 0.7× 11 448
Zoe Riches Canada 9 188 1.3× 41 0.6× 8 0.1× 22 0.5× 37 0.8× 14 440
Jihong Chu China 9 197 1.4× 12 0.2× 49 0.8× 37 0.8× 13 0.3× 17 369
Zhao-Di Fu China 11 234 1.7× 96 1.5× 40 0.6× 14 0.3× 6 0.1× 21 416
Wolfgang Zwickenpflug Germany 11 152 1.1× 21 0.3× 6 0.1× 51 1.1× 10 0.2× 21 404
Muheeb Beg India 15 318 2.3× 12 0.2× 18 0.3× 25 0.5× 60 1.4× 20 615
István Vincze Hungary 13 241 1.7× 39 0.6× 22 0.3× 58 1.2× 11 0.3× 43 606

Countries citing papers authored by Gabrielle Maume

Since Specialization
Citations

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

Fields of papers citing papers by Gabrielle Maume

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabrielle Maume

This figure shows the co-authorship network connecting the top 25 collaborators of Gabrielle Maume. A scholar is included among the top collaborators of Gabrielle Maume 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 Gabrielle Maume. Gabrielle Maume 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.
Ding, Guoqing, Gabrielle Maume, Hanan Osman‐Ponchet, et al.. (2001). Effects of 12 beticolins, Cercospora beticola toxins, on proliferation of ras-transformed adrenocortical cell.. PubMed. 22(9). 769–76. 2 indexed citations
2.
3.
Fur, Yves Le, Gabrielle Maume, Michel Feuillat, & B.F. Maume. (1999). Characterization by Gas Chromatography/Mass Spectrometry of Sterols inSaccharomycescerevisiaeduring Autolysis. Journal of Agricultural and Food Chemistry. 47(7). 2860–2864. 14 indexed citations
4.
Osman‐Ponchet, Hanan, Jean‐Luc Mazet, Gabrielle Maume, & B.F. Maume. (1997). Geranylgeranyl as Well as Farnesyl Moiety Is Transferred to Ras p21 Overproduced in Adrenocortical Cells Transformed by c-Ha-rasEJOncogene. Biochemical and Biophysical Research Communications. 231(3). 789–792. 5 indexed citations
5.
Jeandet, Philippe, Marielle Adrian, Leslie A. Weston, et al.. (1997). HPLC Analysis of Grapevine Phytoalexins Coupling Photodiode Array Detection and Fluorometry. Analytical Chemistry. 69(24). 5172–5177. 120 indexed citations
6.
Maume, Gabrielle, et al.. (1996). INHIBITION OF CELLULAR GROWTH AND STEROID 11β‐HYDROXYLATION INRAS‐TRANSFORMED ADRENOCORTICAL CELLS BY THE FUNGAL TOXINS BETICOLINS. Cell Biology International. 20(8). 523–530. 11 indexed citations
7.
Hathout, Yetrib, Gabrielle Maume, & B.F. Maume. (1994). High-performance liquid chromatographic study of the regulation of phospholipid metabolism in cultured adrenocortical cells. Journal of Chromatography B Biomedical Sciences and Applications. 652(1). 1–8. 3 indexed citations
8.
9.
Maume, Gabrielle, et al.. (1991). Aldosterone biosynthesis induced by ACTH and angiotensin II in newborn rat adrenocortical cells transfected by c-EJ-Ha-ras oncogene. Biochemical and Biophysical Research Communications. 175(2). 596–603. 2 indexed citations
10.
11.
Maume, Gabrielle, et al.. (1986). Role of albumin for the cholesterol transport and on the steroidogenic pathways in serum-free medium newborn rat adrenocortical cell cultures. Cell Biology International Reports. 10(8). 649–658. 4 indexed citations
12.
13.
Padieu, P, et al.. (1985). Biosynthesis of sterols and bile acids in rat liver epithelial cell lines. Biochimica et Biophysica Acta (BBA) - Lipids and Lipid Metabolism. 833(2). 245–261. 9 indexed citations
14.
Vallette, G., C. Benassayag, Lia Savu, et al.. (1980). The serum competitor of oestrogen–rat α1-foetoprotein interactions. Identification as a mixture of non-esterified fatty acids. Biochemical Journal. 187(3). 851–856. 26 indexed citations
15.
Maume, Gabrielle, et al.. (1979). [Hepatic tissue enzymes: study in cultures of rat liver epithelial cells. Control and analysis of cells by cytogenetic and mass spectrometric methods. Pharmacological applications].. PubMed. 173(2). 469–82. 1 indexed citations
16.
Bournot, Paulette, et al.. (1978). Determination simultanee d'androgenes plasmatiques chez le rat par fragmentographie de masse et dilution isotopique. Journal of Steroid Biochemistry. 9(7). 615–621. 2 indexed citations
17.
Bournot, Paulette, J Desgrès, Michel Guiguet, et al.. (1975). Long term cell culture of rat liver epithelial cells retaining some hepatic functions. Biochimie. 56(10). 1365–1379. 40 indexed citations
18.
Maume, B.F., Paulette Bournot, Jean‐Claude Lhuguenot, et al.. (1973). Optimum procedure for the determination of selenium in biological specimens using selenium-77m neutron activation. Analytical Chemistry. 45(7). 1056–1060. 64 indexed citations
19.
Bournot, Paulette, et al.. (1973). Mass fragmentographic analysis of steroids, catecholamines, and amino acids in biological materials.. PubMed. 46(7). 1073–82. 10 indexed citations
20.
Maume, B.F., Gabrielle Maume, J. Durand, & P Padieu. (1971). A new type of micro-analysis of steroid hormones in biological materials by gas chromatography with flame ionisation and electron capture detection. Journal of Chromatography A. 58(2). 277–282. 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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