Matteo Vecellio

92 total papers · 1.7k total citations
39 papers, 816 citations indexed

About

Matteo Vecellio is a scholar working on Rheumatology, Immunology and Hematology. According to data from OpenAlex, Matteo Vecellio has authored 39 papers receiving a total of 816 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Rheumatology, 17 papers in Immunology and 11 papers in Hematology. Recurrent topics in Matteo Vecellio's work include Spondyloarthritis Studies and Treatments (20 papers), Autoimmune and Inflammatory Disorders Research (11 papers) and Psoriasis: Treatment and Pathogenesis (11 papers). Matteo Vecellio is often cited by papers focused on Spondyloarthritis Studies and Treatments (20 papers), Autoimmune and Inflammatory Disorders Research (11 papers) and Psoriasis: Treatment and Pathogenesis (11 papers). Matteo Vecellio collaborates with scholars based in United Kingdom, Italy and Australia. Matteo Vecellio's co-authors include Carlo Selmi, C. Cohen, Paul Bowness, B P Wordsworth, B. P. Wordsworth, Maria Cristina Carena, Adrián Cortés, Julian C. Knight, Paul E. Brennan and Jelle de Wit and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Matteo Vecellio

35 papers receiving 807 citations

Author Peers

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

Author Last Decade Papers Cites
Matteo Vecellio 358 267 249 156 72 39 816
Michael J. Ombrello 294 0.8× 332 1.2× 214 0.9× 160 1.0× 69 1.0× 27 751
N. Amos 233 0.7× 338 1.3× 181 0.7× 147 0.9× 64 0.9× 35 916
John R. Glossop 276 0.8× 139 0.5× 184 0.7× 79 0.5× 75 1.0× 22 731
Junko Inagaki 260 0.7× 340 1.3× 294 1.2× 72 0.5× 61 0.8× 45 930
E. Greco 148 0.4× 276 1.0× 192 0.8× 168 1.1× 91 1.3× 43 843
Ana M. Ortiz 344 1.0× 271 1.0× 457 1.8× 163 1.0× 53 0.7× 50 1.0k
Priscilla Wong 491 1.4× 199 0.7× 297 1.2× 67 0.4× 67 0.9× 31 885
M Cuchacovich 209 0.6× 339 1.3× 398 1.6× 116 0.7× 73 1.0× 48 1.0k
Ruediger B. Müeller 213 0.6× 310 1.2× 588 2.4× 185 1.2× 40 0.6× 45 1.0k
Monica Schaller 249 0.7× 497 1.9× 304 1.2× 116 0.7× 41 0.6× 28 879

Countries citing papers authored by Matteo Vecellio

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Vecellio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Vecellio

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