Fabrice Gardebien

25 total papers · 526 total citations
20 papers, 462 citations indexed

About

Fabrice Gardebien is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Materials Chemistry. According to data from OpenAlex, Fabrice Gardebien has authored 20 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Atomic and Molecular Physics, and Optics and 5 papers in Materials Chemistry. Recurrent topics in Fabrice Gardebien's work include Advanced Chemical Physics Studies (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Signaling Pathways in Disease (3 papers). Fabrice Gardebien is often cited by papers focused on Advanced Chemical Physics Studies (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Signaling Pathways in Disease (3 papers). Fabrice Gardebien collaborates with scholars based in France, Belgium and Réunion. Fabrice Gardebien's co-authors include Roberto Lazzaroni, Jean‐Luc Brédas, E. W. Meijer, Philippe Leclère, Anouk Gaudel‐Siri, Albertus P. H. J. Schenning, Pascal Jonkheijm, Oliver Henze, W. James Feast and Alain Sevin and has published in prestigious journals such as Journal of the American Chemical Society, PLoS ONE and The Journal of Physical Chemistry B.

In The Last Decade

Fabrice Gardebien

20 papers receiving 456 citations

Author Peers

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

Author						Papers	Cites
Fabrice Gardebien	174	121	108	104	92	20	462
Thomas Sauer	258 1.5×	88 0.7×	96 0.9×	49 0.5×	100 1.1×	15	453
Timm Heek	309 1.8×	111 0.9×	130 1.2×	60 0.6×	75 0.8×	12	437
Taras Yu. Gromovoy	299 1.7×	55 0.5×	113 1.0×	87 0.8×	54 0.6×	36	550
Marta Pérez-Morales	232 1.3×	58 0.5×	117 1.1×	51 0.5×	143 1.6×	32	471
G. Masetti	136 0.8×	120 1.0×	70 0.6×	44 0.4×	84 0.9×	26	521
Kunihide Takarabe	175 1.0×	79 0.7×	304 2.8×	136 1.3×	47 0.5×	13	498
B.C. Rinderspacher	132 0.8×	97 0.8×	167 1.5×	45 0.4×	41 0.4×	30	442
Kap‐Soo Cheon	138 0.8×	176 1.5×	244 2.3×	110 1.1×	211 2.3×	15	499
Deepak Asthana	301 1.7×	51 0.4×	174 1.6×	84 0.8×	121 1.3×	29	507
Yu Gan	185 1.1×	115 1.0×	273 2.5×	92 0.9×	38 0.4×	29	498

Countries citing papers authored by Fabrice Gardebien

Since Specialization

Citations

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

Fields of papers citing papers by Fabrice Gardebien

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabrice Gardebien

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