M. Bensaïd

18 papers receiving 831 citations

Peers

M. Bensaïd
Comparison fields: 5 of 90
  • Pharmacology 417
  • Endocrine and Autonomic Systems 105
  • Endocrinology, Diabetes and Metabolism 213
  • Physiology 271
  • Neurology 84
Replace Edward J.N. Ishac with:
Edward J.N. Ishac United States
C. J. Whelan United Kingdom
Estelle Bribes France
Karine Belleville Canada
I. Angel France
Zhao-Hui Song United States
Alessandra Spagnolo United States
James H. Crona United States
Sharon R Myers United States
Jérôme Delplanque France
M. Bensaïd relative to Edward J.N. Ishac United States Edward J.N. Ishac's profile →
Citations per field
00.5×4.9×
Edward J.N. Ishac · 1×
Citations per year

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-authors

The 25 scholars most cited alongside M. Bensaïd, 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 M. Bensaïd Line = papers co-authored together M. Bensaïd links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2003499
2 1989174
3 199358
4 199835
5 199332
6 199224
7
The impact of Environmental Factors on Impulse Buying Behavior Using the Mehrabian and Russell's Framework
201420
8 19906
9 19955
10 20135
11 20122
12 20152
13 20102
14 20092
15 19902
16 20041
17
Mesures de soutien aux migrants en matière d’emploi et de compétences (MISMES) : Maroc
20151
18 19881

About M. Bensaïd

M. Bensaïd is a scholar working on Ophthalmology, Animal Science and Zoology, Clinical Biochemistry, Neurology and Neurology, having authored 18 papers that have together received 871 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (4 papers), Adipose Tissue and Metabolism (3 papers), Pancreatic function and diabetes (2 papers), Neuropeptides and Animal Physiology (2 papers), Fibroblast Growth Factor Research (2 papers), Neuroendocrine Tumor Research Advances (2 papers), Retinal Diseases and Treatments (2 papers) and Pharmacological Effects and Assays (2 papers). The work is most often cited by research in Pharmacology (417 citations), Endocrine and Autonomic Systems (105 citations), Endocrinology, Diabetes and Metabolism (213 citations), Physiology (271 citations) and Neurology (84 citations). M. Bensaïd has collaborated with scholars based in France, Germany and Morocco. Frequent co-authors include G. Le Fur, Philippe Soubrié, Florence Oury-Donat, J.P. Maffrand, Magali Gary‐Bobo, J. Tauber, Stéphane Méresse, C. Delbart, Marie‐Pierre Dehouck and Pierre Delorme. Their work appears in journals such as FEBS Letters, Acta Paediatrica, Neuroscience, European Journal of Neuroscience and Molecular Pharmacology.

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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