M. Bensaïd

1.0k total citations
18 papers, 871 citations indexed

About

M. Bensaïd is a scholar working on Molecular Biology, Surgery and Physiology. According to data from OpenAlex, M. Bensaïd has authored 18 papers receiving a total of 871 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Surgery and 3 papers in Physiology. Recurrent topics in M. Bensaïd's work include Receptor Mechanisms and Signaling (4 papers), Adipose Tissue and Metabolism (3 papers) and Fibroblast Growth Factor Research (2 papers). M. Bensaïd is often cited by papers focused on Receptor Mechanisms and Signaling (4 papers), Adipose Tissue and Metabolism (3 papers) and Fibroblast Growth Factor Research (2 papers). M. Bensaïd collaborates with scholars based in France, Morocco and Germany. M. Bensaïd's co-authors include G. Le Fur, Philippe Soubrié, Florence Oury-Donat, Magali Gary‐Bobo, J.P. Maffrand, J. Tauber, Roméo Cecchelli, Marie‐Pierre Dehouck, Pierre Delorme and Jean‐Charles Fruchart and has published in prestigious journals such as FEBS Letters, Neuroscience and Journal of Neurochemistry.

In The Last Decade

M. Bensaïd

18 papers receiving 831 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Bensaïd France 7 417 271 213 206 170 18 871
Estelle Bribes France 12 255 0.6× 150 0.6× 116 0.5× 213 1.0× 135 0.8× 16 670
Edward J.N. Ishac United States 15 382 0.9× 163 0.6× 137 0.6× 373 1.8× 268 1.6× 28 1.2k
Elena Deliu United States 15 152 0.4× 123 0.5× 170 0.8× 396 1.9× 183 1.1× 22 948
Irene Cantarero Spain 14 447 1.1× 96 0.4× 56 0.3× 255 1.2× 197 1.2× 26 900
Percy F. Sumariwalla United Kingdom 12 607 1.5× 73 0.3× 85 0.4× 120 0.6× 181 1.1× 13 889
Zhao-Hui Song United States 24 929 2.2× 87 0.3× 89 0.4× 529 2.6× 590 3.5× 54 1.4k
Alessandra Spagnolo United States 11 277 0.7× 145 0.5× 41 0.2× 378 1.8× 141 0.8× 12 795
Kallirhoe Kalinderi Greece 17 74 0.2× 303 1.1× 90 0.4× 258 1.3× 199 1.2× 47 1.1k
Liang Nong United States 8 540 1.3× 63 0.2× 65 0.3× 133 0.6× 194 1.1× 9 702
Marcello Diego Lograno Italy 17 130 0.3× 157 0.6× 81 0.4× 219 1.1× 136 0.8× 50 739

Countries citing papers authored by M. Bensaïd

Since Specialization
Citations

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

Fields of papers citing papers by M. Bensaïd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Bensaïd

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

All Works

18 of 18 papers shown
1.
Orieux, Gaël, Amélie Slembrouck, M. Bensaïd, José‐Alain Sahel, & Olivier Goureau. (2015). The protein tyrosine phosphatase interacting protein 51 (PTPIP51) is required for the differentiation of photoreceptors. Neuroscience. 300. 276–285. 2 indexed citations
2.
Bensaïd, M., et al.. (2015). Mesures de soutien aux migrants en matière d’emploi et de compétences (MISMES) : Maroc. Cadmus - EUI Research Repository (European University Institute). 1 indexed citations
3.
Bensaïd, M., et al.. (2014). The impact of Environmental Factors on Impulse Buying Behavior Using the Mehrabian and Russell's Framework. 20 indexed citations
4.
Rasigade, Jean‐Philippe, M. Bensaïd, Marine Butin, Jean‐Charles Picaud, & Frédéric Laurent. (2013). Actualités sur la prise en charge des infections néonatales nosocomiales tardives à staphylocoque à coagulase négative. Archives de Pédiatrie. 20(9). 1028–1033. 5 indexed citations
5.
Haÿs, Stéphane, et al.. (2012). Hémorragie surrénalienne révélée par un ictère néonatal : à propos d’un cas. Archives de Pédiatrie. 19(4). 429–431. 2 indexed citations
6.
Bensaïd, M., et al.. (2010). Quelle est la place de la chirurgie dans l’adénocarcinome pancréatique localement évolué ?. Journal africain du cancer / African Journal of Cancer. 2(2). 98–103. 2 indexed citations
7.
Bensaïd, M., et al.. (2009). Fibromatose agressive de la paroi abdominale (tumeurs desmoïdes). Journal africain du cancer / African Journal of Cancer. 1(4). 223–228. 2 indexed citations
8.
Duny, Yohan, Paul Landais, M. Bensaïd, et al.. (2004). P9-17 Réseau Épidémiologie et Information en Néphrologie (REIN). Résultats du contrôle de qualité du réseau REIN en Languedoc-Roussillon. Revue d Épidémiologie et de Santé Publique. 52. 120–120. 1 indexed citations
9.
Bensaïd, M., Magali Gary‐Bobo, J.P. Maffrand, et al.. (2003). The Cannabinoid CB1 Receptor Antagonist SR141716 Increases Acrp30 mRNA Expression in Adipose Tissue of Obese fa/fa Rats and in Cultured Adipocyte Cells. Molecular Pharmacology. 63(4). 908–914. 499 indexed citations
10.
Steinberg, R., M. Bensaïd, J. Souilhac, et al.. (1998). Expression and presence of septal neurokinin‐2 receptors controlling hippocampal acetylcholine release during sensory stimulation in rat. European Journal of Neuroscience. 10(7). 2337–2345. 35 indexed citations
11.
Bensaïd, M., et al.. (1995). Hétérogénéité clinique du syndrome de Townes-Brocks. Archives de Pédiatrie. 2(6). 551–554. 5 indexed citations
12.
Lélias, Jean-Michel, Mourad Kaghad, Mario H. Rodrı́guez, et al.. (1993). Molecular cloning of a human β3‐adrenergic receptor cDNA. FEBS Letters. 324(2). 127–130. 58 indexed citations
13.
Bensaïd, M., Mourad Kaghad, Mario H. Rodrı́guez, G. Le Fur, & Daniel Caput. (1993). The rat β3‐adrenergic receptor gene contains an intron. FEBS Letters. 318(3). 223–226. 32 indexed citations
14.
Bensaïd, M., Nathalie Viguerie, Begoña Colás, et al.. (1992). Basic fibroblast growth factor induces proliferation of a rat pancreatic cancer cell line. Inhibition by somatostatin. International Journal of Cancer. 50(5). 796–799. 24 indexed citations
15.
Vries, Luc De, M. Bensaïd, Nathalie Viguerie, et al.. (1990). Regulation of Proliferation by Fibroblast Growth Factor in a Pancreatic Cancer Cell Line. Digestion. 46(2). 162–165. 6 indexed citations
16.
Scemama, J.L., M. Bensaïd, A. Estival, et al.. (1990). Characterization and expression of β2-adrenergic receptor in a human pancreatic adenocarcinoma cell line. International Journal of Pancreatology. 7(4). 2 indexed citations
17.
Méresse, Stéphane, Marie‐Pierre Dehouck, Pierre Delorme, et al.. (1989). Bovine Brain Endothelial Cells Express Tight Junctions and Monoamine Oxidase Activity in Long‐Term Culture. Journal of Neurochemistry. 53(5). 1363–1371. 174 indexed citations
18.
Bensaïd, M., M. Tauber, François Malecaze, et al.. (1988). Effect of Basic and Acidic FGF and TGFf3 in Controlling the Proliferation of Retinal Capillary Endothelial Cells. Acta Paediatrica. 77(s343). 230–231. 1 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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