Nicole Bernad

47 total papers · 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 Czechia. Nicole Bernad's co-authors include Jean Martínez, Jean‐Alain Fehrentz, Jacqueline Azay, Olivier Chaloin, Marie‐Christine Galas, Jacques Dornand, Catherine Oiry, Jean‐Claude Galleyrand, Chakib El-Moatassim and C Rozé 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

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nicole Bernad 206 183 124 55 47 30 394
Evangelia Kotsikorou 107 0.5× 236 1.3× 74 0.6× 57 1.0× 25 0.5× 16 430
Jean‐Claude Galleyrand 134 0.7× 196 1.1× 44 0.4× 69 1.3× 12 0.3× 18 397
E Turolla 78 0.4× 113 0.6× 57 0.5× 24 0.4× 98 2.1× 39 350
Charles Xing 96 0.5× 210 1.1× 87 0.7× 113 2.1× 60 1.3× 20 418
Xuefeng Gao 123 0.6× 160 0.9× 31 0.3× 24 0.4× 10 0.2× 26 391
Elaine A. Harper 162 0.8× 249 1.4× 34 0.3× 43 0.8× 9 0.2× 24 431
V.P. Gerskowitch 129 0.6× 178 1.0× 41 0.3× 79 1.4× 7 0.1× 29 425
Katsuya Higo 55 0.3× 190 1.0× 43 0.3× 40 0.7× 12 0.3× 27 390
Aditya J. Desai 137 0.7× 168 0.9× 27 0.2× 37 0.7× 10 0.2× 16 346
Bernhard Doleschal 71 0.3× 144 0.8× 77 0.6× 69 1.3× 10 0.2× 23 446

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

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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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