Jacques Fattaccioli

69 total papers · 590 total citations
26 papers, 438 citations indexed

About

Jacques Fattaccioli is a scholar working on Biomedical Engineering, Molecular Biology and Immunology. According to data from OpenAlex, Jacques Fattaccioli has authored 26 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Biomedical Engineering, 5 papers in Molecular Biology and 5 papers in Immunology. Recurrent topics in Jacques Fattaccioli's work include Innovative Microfluidic and Catalytic Techniques Innovation (6 papers), Microfluidic and Bio-sensing Technologies (5 papers) and Microfluidic and Capillary Electrophoresis Applications (4 papers). Jacques Fattaccioli is often cited by papers focused on Innovative Microfluidic and Catalytic Techniques Innovation (6 papers), Microfluidic and Bio-sensing Technologies (5 papers) and Microfluidic and Capillary Electrophoresis Applications (4 papers). Jacques Fattaccioli collaborates with scholars based in France, Japan and Burundi. Jacques Fattaccioli's co-authors include Jérôme Bibette, Yong Chen, Sandrine Quignard, Marc Tramier, Nelly Henry, Benjamin Rotenberg, Jean Baudry, Benoît Dubertret, Nicolas Lequeux and Swapan K. Mandal and has published in prestigious journals such as Science, Biomaterials and Langmuir.

In The Last Decade

Jacques Fattaccioli

23 papers receiving 433 citations

Author Peers

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

Author						Papers	Cites
Jacques Fattaccioli	155	124	105	56	51	26	438
Taisuke Kojima	190 1.2×	183 1.5×	64 0.6×	49 0.9×	38 0.7×	24	422
Zhuo Ao	131 0.8×	58 0.5×	115 1.1×	32 0.6×	71 1.4×	35	415
Tianli Wu	168 1.1×	103 0.8×	76 0.7×	68 1.2×	34 0.7×	40	406
Zheyu Wang	78 0.5×	123 1.0×	62 0.6×	90 1.6×	55 1.1×	43	447
Martin Schmidt	150 1.0×	82 0.7×	89 0.8×	41 0.7×	92 1.8×	15	475
Thomas D. Young	250 1.6×	101 0.8×	93 0.9×	74 1.3×	86 1.7×	14	471
Hirotoshi Furusho	87 0.6×	77 0.6×	137 1.3×	69 1.2×	35 0.7×	22	450
Min Jun Ko	221 1.4×	137 1.1×	150 1.4×	34 0.6×	77 1.5×	29	435
Kwahun Lee	124 0.8×	161 1.3×	173 1.6×	15 0.3×	71 1.4×	20	415
Heemin Kang	212 1.4×	105 0.8×	153 1.5×	102 1.8×	96 1.9×	27	478

Countries citing papers authored by Jacques Fattaccioli

Since Specialization

Citations

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

Fields of papers citing papers by Jacques Fattaccioli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacques Fattaccioli

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