François‐Xavier Mathy

19 total papers · 946 total citations
16 papers, 649 citations indexed

About

François‐Xavier Mathy is a scholar working on Cellular and Molecular Neuroscience, Dermatology and Pharmaceutical Science. According to data from OpenAlex, François‐Xavier Mathy has authored 16 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 5 papers in Dermatology and 5 papers in Pharmaceutical Science. Recurrent topics in François‐Xavier Mathy's work include Advancements in Transdermal Drug Delivery (5 papers), Dermatology and Skin Diseases (5 papers) and Drug Transport and Resistance Mechanisms (4 papers). François‐Xavier Mathy is often cited by papers focused on Advancements in Transdermal Drug Delivery (5 papers), Dermatology and Skin Diseases (5 papers) and Drug Transport and Resistance Mechanisms (4 papers). François‐Xavier Mathy collaborates with scholars based in Belgium, United Kingdom and United States. François‐Xavier Mathy's co-authors include Véronique Préat, Christophe Herkenne, Aarti Naik, Ingo Alberti, Richard H. Guy, Yogeshvar N. Kalia, Roger K. Verbeeck, Rhys Whomsley, M. Strolin Benedetti and Italo Poggesi and has published in prestigious journals such as Neurology, Annals of the New York Academy of Sciences and Pharmaceutical Research.

In The Last Decade

François‐Xavier Mathy

16 papers receiving 632 citations

Author Peers

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

Author						Papers	Cites
François‐Xavier Mathy	211	141	139	135	121	16	649
John A. Labudde	226 1.1×	188 1.3×	64 0.5×	30 0.2×	79 0.7×	13	772
Samir D. Roy	362 1.7×	137 1.0×	10 0.1×	61 0.5×	26 0.2×	14	641
Albrecht Ziegler	77 0.4×	30 0.2×	29 0.2×	30 0.2×	139 1.1×	37	636
Muh‐Hwan Su	135 0.6×	84 0.6×	104 0.7×	7 0.1×	39 0.3×	26	692
Malonne I. Davies	45 0.2×	16 0.1×	37 0.3×	82 0.6×	80 0.7×	23	660
Hannu Taipale	208 1.0×	37 0.3×	13 0.1×	20 0.1×	46 0.4×	27	716
Yutaka Higashi	267 1.3×	55 0.4×	18 0.1×	52 0.4×	34 0.3×	39	619
E. Marttin	528 2.5×	55 0.4×	14 0.1×	33 0.2×	45 0.4×	12	778
Tina W. Knutson	121 0.6×	9 0.1×	20 0.1×	97 0.7×	43 0.4×	17	574
Mark T. Marino	40 0.2×	17 0.1×	12 0.1×	68 0.5×	89 0.7×	30	593

Countries citing papers authored by François‐Xavier Mathy

Since Specialization

Citations

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

Fields of papers citing papers by François‐Xavier Mathy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by François‐Xavier Mathy. 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 François‐Xavier Mathy. The network helps show where François‐Xavier Mathy may publish in the future.

Co-authorship network of co-authors of François‐Xavier Mathy

This figure shows the co-authorship network connecting the top 25 collaborators of François‐Xavier Mathy. A scholar is included among the top collaborators of François‐Xavier Mathy 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 François‐Xavier Mathy. François‐Xavier Mathy 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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