G. Néliat

3.7k total citations · 1 hit paper
31 papers, 3.2k citations indexed

About

G. Néliat is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, G. Néliat has authored 31 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 19 papers in Cellular and Molecular Neuroscience and 6 papers in Physiology. Recurrent topics in G. Néliat's work include Receptor Mechanisms and Signaling (17 papers), Neuropeptides and Animal Physiology (11 papers) and Neuroscience and Neuropharmacology Research (8 papers). G. Néliat is often cited by papers focused on Receptor Mechanisms and Signaling (17 papers), Neuropeptides and Animal Physiology (11 papers) and Neuroscience and Neuropharmacology Research (8 papers). G. Néliat collaborates with scholars based in France, Italy and Sweden. G. Néliat's co-authors include Gérard Le Fur, Michel Héaulme, Philippe Soubrié, Christian Congy, Murielle Rinaldi‐Carmona, Pascual Ferrara, David Shire, Bernard Calandra, Daniel Caput and Francis Barth and has published in prestigious journals such as Gastroenterology, Biochemical and Biophysical Research Communications and FEBS Letters.

In The Last Decade

G. Néliat

30 papers receiving 3.1k citations

Hit Papers

SR141716A, a potent and selective antagonist of the brain... 1994 2026 2004 2015 1994 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Néliat France 17 2.3k 1.4k 1.2k 589 360 31 3.2k
Jacob Barg Israel 32 2.7k 1.2× 3.1k 2.1× 1.7k 1.3× 636 1.1× 444 1.2× 73 5.4k
Eileen M. Briley United States 14 1.3k 0.6× 1.9k 1.3× 434 0.3× 237 0.4× 318 0.9× 15 2.6k
Francisco Molina‐Holgado United Kingdom 33 1.2k 0.5× 1.9k 1.4× 487 0.4× 380 0.6× 315 0.9× 47 3.3k
Erica J. Carrier United States 22 1.6k 0.7× 2.6k 1.9× 415 0.3× 432 0.7× 331 0.9× 31 3.5k
Basalingappa L. Hungund United States 33 1.8k 0.8× 2.0k 1.4× 541 0.4× 336 0.6× 261 0.7× 74 3.2k
Rosa M. Tolón Spain 28 1.7k 0.7× 2.4k 1.7× 605 0.5× 368 0.6× 245 0.7× 52 3.3k
Garth T. Whiteside United States 27 1.1k 0.5× 1.0k 0.7× 646 0.5× 896 1.5× 116 0.3× 58 2.5k
Tiziano Croci Italy 27 688 0.3× 691 0.5× 652 0.5× 557 0.9× 210 0.6× 62 2.1k
Florence Oury-Donat France 19 973 0.4× 835 0.6× 841 0.7× 426 0.7× 211 0.6× 25 2.0k
Michael Bayewitch Israel 18 1.9k 0.9× 2.9k 2.0× 982 0.8× 386 0.7× 409 1.1× 21 3.8k

Countries citing papers authored by G. Néliat

Since Specialization
Citations

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

Fields of papers citing papers by G. Néliat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Néliat

This figure shows the co-authorship network connecting the top 25 collaborators of G. Néliat. A scholar is included among the top collaborators of G. Néliat 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. Néliat. G. Néliat 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.
Benyamina, Amine, Christophe Arbus, Philippe Nuss, et al.. (2007). Affinity of cyamemazine metabolites for serotonin, histamine and dopamine receptor subtypes. European Journal of Pharmacology. 578(2-3). 142–147. 7 indexed citations
2.
Ravel, Denis, et al.. (2003). ORIGINAL ARTICLE. Differential effects of sulphonylureas on the vasodilatory response evoked by KATP channel openers. Fundamental and Clinical Pharmacology. 17(1). 61–69. 6 indexed citations
3.
Verleye, Marc, Rémy Schlichter, G. Néliat, Yannick Pansart, & J. M. Gillardin. (2001). Functional modulation of gamma-aminobutyric acidA receptors by etifoxine and allopregnanolone in rodents. Neuroscience Letters. 301(3). 191–194. 13 indexed citations
4.
Picherit, Christel, M. Dalle, G. Néliat, et al.. (2000). Genistein and daidzein modulate in vitro rat uterine contractile activity. The Journal of Steroid Biochemistry and Molecular Biology. 75(2-3). 201–208. 24 indexed citations
5.
Evangelista, Stefano, et al.. (1998). RECEPTOR BINDING PROFILE OF OTILINIUM BROMIDE. Pharmacological Research. 38(2). 111–117. 28 indexed citations
6.
Evangelista, Stefano, et al.. (1998). Receptor-binding profile of otilonium bromide, a drug for irritable bowel syndrome. Gastroenterology. 114. A1141–A1141. 7 indexed citations
7.
Emonds‐Alt, Xavier, Charles Advenier, Tiziano Croci, et al.. (1997). Biochemical and pharmacological activities of SR 144190, a new potent non-peptide tachykinin NK2 receptor antagonist. Neuropeptides. 31(5). 449–458. 32 indexed citations
9.
Petitet, François, Serge Mignani, Jacques Lavayre, et al.. (1996). The naphtosultam derivative RP 62203 (fananserin) has high affinity for the dopamine D4 receptor. European Journal of Pharmacology. 314(1-2). 229–233. 17 indexed citations
10.
Gal, Claudine Serradeil‐Le, Alain Pellet, Florence Oury-Donat, et al.. (1995). SR120819A, an orally‐active and selective neuropeptide Y Y1 receptor antagonist. FEBS Letters. 362(2). 192–196. 93 indexed citations
12.
Emonds‐Alt, Xavier, Michel Héaulme, Brigitte Miloux, et al.. (1994). SR 142801, The first potent non-peptide antagonist of the tachykinin NK3 receptor. Life Sciences. 56(1). PL27–PL32. 201 indexed citations
13.
Emonds‐Alt, Xavier, Charles Advenier, Tiziano Croci, et al.. (1993). SR 48968, a neurokinin A (NK2) receptor antagonist. Regulatory Peptides. 46(1-2). 31–36. 32 indexed citations
14.
Emonds‐Alt, Xavier, Jean-Daniel Doutremepuich, Michel Héaulme, et al.. (1993). In vitro and in vivo biological activities of SR140333, a novel potent non-peptide tachykinin NK1 receptor antagonist. European Journal of Pharmacology. 250(3). 403–413. 337 indexed citations
15.
Gully, Danielle, et al.. (1993). Peripheral biological activity of SR 27897: a new potent non-peptide antagonist of CCKA receptors. European Journal of Pharmacology. 232(1). 13–19. 65 indexed citations
16.
Emonds‐Alt, Xavier, P. Vilain, Vincenzo Proietto, et al.. (1992). A potent and selective non-peptide antagonist of the neurokinin a (NK2) receptor. Life Sciences. 50(15). PL101–PL106. 397 indexed citations
17.
Robert, René, et al.. (1992). Interleukin-1 impairs both vascular contraction and relaxation in rabbit isolated aorta. Biochemical and Biophysical Research Communications. 182(2). 733–739. 36 indexed citations
18.
Néliat, G., et al.. (1989). The role of α- and β-adrenoceptors in the response to noradrenaline of lymphatic vessels isolated from the bovine mesentry. European Journal of Pharmacology. 167(1). 31–39. 8 indexed citations
19.
Néliat, G., et al.. (1989). Modulation of the spontaneous transient outward currents by histamine in single vascular smooth muscle cells. Pflügers Archiv - European Journal of Physiology. 414(S1). S186–S187. 3 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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