Mélisande Bernard

33 total papers · 633 total citations
18 papers, 382 citations indexed

About

Mélisande Bernard is a scholar working on Surgery, Analytical Chemistry and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Mélisande Bernard has authored 18 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 5 papers in Analytical Chemistry and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Mélisande Bernard's work include Analytical Methods in Pharmaceuticals (5 papers), Pesticide Residue Analysis and Safety (4 papers) and Pharmaceutical Quality and Counterfeiting (3 papers). Mélisande Bernard is often cited by papers focused on Analytical Methods in Pharmaceuticals (5 papers), Pesticide Residue Analysis and Safety (4 papers) and Pharmaceutical Quality and Counterfeiting (3 papers). Mélisande Bernard collaborates with scholars based in France, New Zealand and Mauritania. Mélisande Bernard's co-authors include Emile Jubeli, Najet Yagoubi, Michael D. Pungente, Bernard Do, Najet Yagoubi, J. Saunier, C. Aymes‐Chodur, Johanna Saunier, Audrey Solgadi and P. Tilleul and has published in prestigious journals such as European Journal of Pharmacology, RSC Advances and Materials Science and Engineering C.

In The Last Decade

Mélisande Bernard

17 papers receiving 378 citations

Author Peers

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

Author						Papers	Cites
Mélisande Bernard	143	98	58	42	33	18	382
Tai‐Li Tsou	150 1.0×	157 1.6×	59 1.0×	34 0.8×	46 1.4×	16	433
Martin Körber	100 0.7×	171 1.7×	24 0.4×	96 2.3×	17 0.5×	15	434
Ahmed M.A. El-Sokkary	132 0.9×	97 1.0×	22 0.4×	114 2.7×	38 1.2×	20	421
Ping Zhu	162 1.1×	222 2.3×	55 0.9×	51 1.2×	17 0.5×	11	443
Péter Szabó	119 0.8×	275 2.8×	40 0.7×	31 0.7×	12 0.4×	22	441
Kacper Przykaza	164 1.1×	107 1.1×	39 0.7×	83 2.0×	6 0.2×	18	383
Atsushi Jikihara	133 0.9×	111 1.1×	56 1.0×	55 1.3×	14 0.4×	9	332
Michał Wójcik	146 1.0×	158 1.6×	70 1.2×	28 0.7×	7 0.2×	22	391
Guojie Xu	181 1.3×	205 2.1×	24 0.4×	12 0.3×	28 0.8×	33	417
Nuraina Anisa Dahlan	144 1.0×	173 1.8×	28 0.5×	28 0.7×	11 0.3×	17	361

Countries citing papers authored by Mélisande Bernard

Since Specialization

Citations

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

Fields of papers citing papers by Mélisande Bernard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mélisande Bernard

This figure shows the co-authorship network connecting the top 25 collaborators of Mélisande Bernard. A scholar is included among the top collaborators of Mélisande Bernard 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 Mélisande Bernard. Mélisande Bernard 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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