Martine Baspeyras

27 total papers · 702 total citations
16 papers, 492 citations indexed

About

Martine Baspeyras is a scholar working on Dermatology, Neurology and Surgery. According to data from OpenAlex, Martine Baspeyras has authored 16 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Dermatology, 6 papers in Neurology and 4 papers in Surgery. Recurrent topics in Martine Baspeyras's work include Facial Rejuvenation and Surgery Techniques (7 papers), Botulinum Toxin and Related Neurological Disorders (6 papers) and Dermatologic Treatments and Research (4 papers). Martine Baspeyras is often cited by papers focused on Facial Rejuvenation and Surgery Techniques (7 papers), Botulinum Toxin and Related Neurological Disorders (6 papers) and Dermatologic Treatments and Research (4 papers). Martine Baspeyras collaborates with scholars based in France, United Kingdom and United States. Martine Baspeyras's co-authors include Philippe Kestemont, Benjamin Zakine, Benjamin Ascher, J. Santini, Lakhdar Belhaouari, Hervé Raspaldo, Hugues Cartier, Laurent Dumas, V. Mengeaud and C. Rouvrais and has published in prestigious journals such as Journal of the American Academy of Dermatology, Journal of the European Academy of Dermatology and Venereology and Dermatologic Surgery.

In The Last Decade

Martine Baspeyras

15 papers receiving 436 citations

Author Peers

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

Author						Papers	Cites
Martine Baspeyras	338	303	86	55	48	16	492
Isaac Bodokh	335 1.0×	116 0.4×	84 1.0×	29 0.5×	48 1.0×	24	491
Sérgio Talarico	360 1.1×	167 0.6×	22 0.3×	30 0.5×	61 1.3×	20	419
Carolina Siega	260 0.8×	174 0.6×	58 0.7×	18 0.3×	121 2.5×	28	410
Taciana Dal’Forno	233 0.7×	146 0.5×	78 0.9×	20 0.4×	193 4.0×	23	420
Mark G. Rubin	312 0.9×	116 0.4×	25 0.3×	16 0.3×	79 1.6×	23	405
Luitgard Wiest	386 1.1×	189 0.6×	24 0.3×	30 0.5×	141 2.9×	24	464
ROMAN GOERTELMEYER	323 1.0×	253 0.8×	40 0.5×	9 0.2×	97 2.0×	13	498
Jennifer Ledon	269 0.8×	46 0.2×	36 0.4×	65 1.2×	154 3.2×	18	494
Larry D. Schoenrock	154 0.5×	211 0.7×	180 2.1×	15 0.3×	128 2.7×	17	487
Nathaniel P. Disser	56 0.2×	181 0.6×	38 0.4×	11 0.2×	144 3.0×	11	527

Countries citing papers authored by Martine Baspeyras

Since Specialization

Citations

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

Fields of papers citing papers by Martine Baspeyras

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martine Baspeyras

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