C. Picard‐Dahan

88 total papers · 2.2k total citations
34 papers, 686 citations indexed

About

C. Picard‐Dahan is a scholar working on Pathology and Forensic Medicine, Rheumatology and Genetics. According to data from OpenAlex, C. Picard‐Dahan has authored 34 papers receiving a total of 686 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Pathology and Forensic Medicine, 16 papers in Rheumatology and 15 papers in Genetics. Recurrent topics in C. Picard‐Dahan's work include Autoimmune Bullous Skin Diseases (13 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (12 papers) and Urticaria and Related Conditions (10 papers). C. Picard‐Dahan is often cited by papers focused on Autoimmune Bullous Skin Diseases (13 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (12 papers) and Urticaria and Related Conditions (10 papers). C. Picard‐Dahan collaborates with scholars based in France, Switzerland and Iran. C. Picard‐Dahan's co-authors include P. Joly, B. Crickx, C. Pauwels, Sylvie Bastuji‐Garin, S. Oro, E. Delaporte, O. Chosidow, Christophe Bédane, V. Descamps and A. Sparsa and has published in prestigious journals such as Journal of Investigative Dermatology, Journal of the American Academy of Dermatology and British Journal of Dermatology.

In The Last Decade

C. Picard‐Dahan

32 papers receiving 656 citations

Author Peers

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

Author						Papers	Cites
C. Picard‐Dahan	557	474	456	95	58	34	686
Barbara Giomi	322 0.6×	497 1.0×	225 0.5×	130 1.4×	165 2.8×	36	739
Roberto Maglie	498 0.9×	300 0.6×	261 0.6×	109 1.1×	158 2.7×	43	707
Giuseppe Cianchini	572 1.0×	381 0.8×	361 0.8×	59 0.6×	108 1.9×	27	785
Ayşe Akman Karakaş	345 0.6×	316 0.7×	255 0.6×	54 0.6×	68 1.2×	37	609
Savaş Yaylı	434 0.8×	355 0.7×	302 0.7×	50 0.5×	164 2.8×	50	738
D. Gilbert	441 0.8×	369 0.8×	306 0.7×	47 0.5×	52 0.9×	44	711
N. Cordel	334 0.6×	408 0.9×	208 0.5×	239 2.5×	152 2.6×	57	741
Bilha Hazaz	308 0.6×	284 0.6×	181 0.4×	79 0.8×	58 1.0×	30	613
A.S. Highet	278 0.5×	227 0.5×	190 0.4×	98 1.0×	241 4.2×	30	665
Carlos H. Nousari	342 0.6×	301 0.6×	190 0.4×	99 1.0×	140 2.4×	39	657

Countries citing papers authored by C. Picard‐Dahan

Since Specialization

Citations

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

Fields of papers citing papers by C. Picard‐Dahan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. Picard‐Dahan. 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 C. Picard‐Dahan. The network helps show where C. Picard‐Dahan may publish in the future.

Co-authorship network of co-authors of C. Picard‐Dahan

This figure shows the co-authorship network connecting the top 25 collaborators of C. Picard‐Dahan. A scholar is included among the top collaborators of C. Picard‐Dahan 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 C. Picard‐Dahan. C. Picard‐Dahan 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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