Nicole Bernad

477 total citations
30 papers, 394 citations indexed

About

Nicole Bernad is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Oncology. According to data from OpenAlex, Nicole Bernad has authored 30 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cellular and Molecular Neuroscience, 20 papers in Molecular Biology and 11 papers in Oncology. Recurrent topics in Nicole Bernad's work include Neuropeptides and Animal Physiology (23 papers), Receptor Mechanisms and Signaling (11 papers) and Peptidase Inhibition and Analysis (10 papers). Nicole Bernad is often cited by papers focused on Neuropeptides and Animal Physiology (23 papers), Receptor Mechanisms and Signaling (11 papers) and Peptidase Inhibition and Analysis (10 papers). Nicole Bernad collaborates with scholars based in France, United Kingdom and United States. Nicole Bernad's co-authors include Jean Martínez, Jean‐Alain Fehrentz, Olivier Chaloin, Jacqueline Azay, Marie‐Christine Galas, Jacques Dornand, Jean‐Claude Galleyrand, Catherine Oiry, C Rozé and Chakib El-Moatassim and has published in prestigious journals such as Free Radical Biology and Medicine, Annals of the New York Academy of Sciences and Journal of Medicinal Chemistry.

In The Last Decade

Nicole Bernad

29 papers receiving 386 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicole Bernad France 12 206 183 124 55 47 30 394
Ronald W. Steigerwalt United States 13 178 0.9× 260 1.4× 89 0.7× 108 2.0× 8 0.2× 22 452
Jean‐Claude Galleyrand France 11 134 0.7× 196 1.1× 44 0.4× 69 1.3× 12 0.3× 18 398
V.P. Gerskowitch United Kingdom 14 129 0.6× 178 1.0× 41 0.3× 79 1.4× 7 0.1× 29 426
Guillaume Arguin Canada 16 44 0.2× 236 1.3× 60 0.5× 41 0.7× 13 0.3× 26 494
Charles Xing United States 8 98 0.5× 211 1.2× 88 0.7× 113 2.1× 62 1.3× 20 424
Laurie E. Lambert United States 11 62 0.3× 129 0.7× 31 0.3× 29 0.5× 57 1.2× 14 525
Jasleen Shant United States 10 116 0.6× 258 1.4× 141 1.1× 41 0.7× 20 0.4× 14 538
Michael Lückmann Denmark 10 103 0.5× 268 1.5× 42 0.3× 123 2.2× 26 0.6× 16 403
A. H. Schinkel Netherlands 6 72 0.3× 123 0.7× 339 2.7× 33 0.6× 23 0.5× 15 525
Ingeborg Berg Germany 9 43 0.2× 243 1.3× 36 0.3× 32 0.6× 11 0.2× 13 669

Countries citing papers authored by Nicole Bernad

Since Specialization
Citations

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

Fields of papers citing papers by Nicole Bernad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicole Bernad

This figure shows the co-authorship network connecting the top 25 collaborators of Nicole Bernad. A scholar is included among the top collaborators of Nicole Bernad 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 Nicole Bernad. Nicole Bernad 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.
Crouzin, Nadine, Marie‐Céleste de Jesus Ferreira, Catherine Cohen‐Solal, et al.. (2011). α-Tocopherol and α-tocopheryl phosphate interact with the cannabinoid system in the rodent hippocampus. Free Radical Biology and Medicine. 51(9). 1643–1655. 16 indexed citations
2.
Bernad, Nicole, et al.. (2000). The design and synthesis of the high efficacy, non-peptide CCK1 receptor agonist PD 170292. Bioorganic & Medicinal Chemistry Letters. 10(11). 1245–1248. 9 indexed citations
3.
Oiry, Catherine, Julie Pannequin, Nicole Bernad, et al.. (2000). A synthetic glycine-extended bombesin analogue interacts with the GRP/bombesin receptor. European Journal of Pharmacology. 403(1-2). 17–25. 15 indexed citations
4.
Gagne, Didier, Nicole Bernad, Chantal Escrieut, et al.. (2000). The Third Intracellular Loop of the Rat and Mouse Cholecystokinin-A Receptors Is Responsible for Different Patterns of Gene Activation. Molecular Pharmacology. 58(6). 1381–1388. 1 indexed citations
5.
Gagne, Didier, Nicole Bernad, Jean‐Claude Galleyrand, et al.. (2000). The Third Intracellular Loop of the Rat and Mouse Cholecystokinin-A Receptors Is Responsible for Different Patterns of Gene Activation. Molecular Pharmacology. 58(6). 1381–1388. 8 indexed citations
6.
Anini, Younès, C. Jarrousse, J Chariot, et al.. (2000). Oxyntomodulin Inhibits Pancreatic Secretion Through the Nervous System in Rats. Pancreas. 20(4). 348–360. 30 indexed citations
7.
Bernad, Nicole, et al.. (1999). Synthesis and biological evaluation of C-terminal hydroxamide analogues of bombesin. Journal of Peptide Science. 5(4). 176–184. 4 indexed citations
8.
9.
Oiry, Catherine, Didier Gagne, Nicole Bernad, et al.. (1997). CholecystokininB Receptor from Human Jurkat Lymphoblastic T Cells Is Involved in Activator Protein-1-Responsive Gene Activation. Molecular Pharmacology. 52(2). 292–299. 11 indexed citations
10.
Nikiforovich, Gregory V., Stephen A. Kolodziej, Bruce Nock, et al.. (1995). Conformationally readdressed CCK‐B/δ‐opioid pepitide ligands. Biopolymers. 36(4). 439–452. 5 indexed citations
11.
Galleyrand, Jean‐Claude, et al.. (1994). Synthesis and characterization of a new labeled gastrin ligand,125I‐BH‐[Leu15]‐gastrin‐(5‐17), on binding to canine fundic mucosal cells and Jurkat cells. International journal of peptide & protein research. 44(4). 348–356. 5 indexed citations
12.
Amblard, Muriel, Nicole Bernad, Jeanine Laur, et al.. (1994). Biological Evaluation of JMV180 Cholecystokinin Analogs. Annals of the New York Academy of Sciences. 713(1). 79–87. 3 indexed citations
13.
Bernad, Nicole, et al.. (1994). Cholecystokinin Receptors in Cells of the Immune System. Annals of the New York Academy of Sciences. 713(1). 334–337. 3 indexed citations
14.
Bernad, Nicole, et al.. (1993). Cholecystokinin increases intracellular Ca2+ concentration in the Human JURKAT T Lymphocyte Cell line. European Journal of Pharmacology Molecular Pharmacology. 245(3). 241–246. 32 indexed citations
15.
16.
Galas, Marie‐Christine, Nicole Bernad, & Jean Martínez. (1992). Pharmacological studies on CCKB receptors in guinea pig synaptoneurosomes. European Journal of Pharmacology Molecular Pharmacology. 226(1). 35–41. 12 indexed citations
17.
Maletı́nská, Lenka, Marie‐Christine Galas, Nicole Bernad, et al.. (1992). Pharmacological characterization of new cholecystokinin analogues. European Journal of Pharmacology. 222(2-3). 233–240. 9 indexed citations
18.
Bernad, Nicole, et al.. (1991). Pharmacological characterization of type B cholecystokinin binding sites on the human JURKAT T lymphocyte cell line.. Molecular Pharmacology. 39(5). 615–620. 46 indexed citations
19.
Dornand, Jacques, Nicole Bernad, Didier Junquéro, et al.. (1990). LPS-stimulated bovine aortic endothelial cells produce IL-1 and IL-6 like activities. Inflammation Research. 30(3-4). 403–411. 14 indexed citations
20.
El-Moatassim, Chakib, et al.. (1989). Extracellular ATP induces a nonspecific permeability of thymocyte plasma membranes. Biochemistry and Cell Biology. 67(9). 495–502. 17 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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