U. Michon-Pasturel

166 total papers · 1.7k total citations
55 papers, 1.1k citations indexed

About

U. Michon-Pasturel is a scholar working on Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Rheumatology. According to data from OpenAlex, U. Michon-Pasturel has authored 55 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Pathology and Forensic Medicine, 16 papers in Pulmonary and Respiratory Medicine and 16 papers in Rheumatology. Recurrent topics in U. Michon-Pasturel's work include Systemic Sclerosis and Related Diseases (13 papers), Diagnosis and Treatment of Venous Diseases (8 papers) and Vasculitis and related conditions (8 papers). U. Michon-Pasturel is often cited by papers focused on Systemic Sclerosis and Related Diseases (13 papers), Diagnosis and Treatment of Venous Diseases (8 papers) and Vasculitis and related conditions (8 papers). U. Michon-Pasturel collaborates with scholars based in France, Canada and Belgium. U. Michon-Pasturel's co-authors include É. Hachulla, B Devulder, Pierre‐Yves Hatron, V. Queyrel, David Launay, Marie Ito, B. Wallaert, H Courtois, H. Lévesque and B. Granel and has published in prestigious journals such as Annals of the Rheumatic Diseases, Medicine and Autoimmunity Reviews.

In The Last Decade

U. Michon-Pasturel

51 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
U. Michon-Pasturel 409 394 359 359 166 55 1.1k
V. Queyrel 470 1.1× 591 1.5× 196 0.5× 374 1.0× 253 1.5× 70 1.4k
S. Morell‐Dubois 377 0.9× 671 1.7× 210 0.6× 361 1.0× 302 1.8× 62 1.4k
Alessandra Della Rossa 421 1.0× 686 1.7× 220 0.6× 438 1.2× 250 1.5× 59 1.3k
Giovanni Pomponio 188 0.5× 358 0.9× 188 0.5× 323 0.9× 108 0.7× 50 1.3k
P.Y. Hatron 453 1.1× 271 0.7× 235 0.7× 486 1.4× 64 0.4× 46 1.3k
Maria Grazia Lazzaroni 165 0.4× 352 0.9× 157 0.4× 470 1.3× 120 0.7× 71 1.2k
M Vayssairat 236 0.6× 447 1.1× 188 0.5× 135 0.4× 233 1.4× 104 1.1k
Michele Iudici 373 0.9× 658 1.7× 207 0.6× 348 1.0× 265 1.6× 57 1.1k
Emmanuel Chatelus 282 0.7× 719 1.8× 263 0.7× 407 1.1× 313 1.9× 55 1.5k
Carina Mihai 333 0.8× 699 1.8× 218 0.6× 196 0.5× 291 1.8× 72 1.2k

Countries citing papers authored by U. Michon-Pasturel

Since Specialization
Citations

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

Fields of papers citing papers by U. Michon-Pasturel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by U. Michon-Pasturel. 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 U. Michon-Pasturel. The network helps show where U. Michon-Pasturel may publish in the future.

Co-authorship network of co-authors of U. Michon-Pasturel

This figure shows the co-authorship network connecting the top 25 collaborators of U. Michon-Pasturel. A scholar is included among the top collaborators of U. Michon-Pasturel 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 U. Michon-Pasturel. U. Michon-Pasturel 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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