Mirko Scarsi

27 total papers · 638 total citations
18 papers, 452 citations indexed

About

Mirko Scarsi is a scholar working on Immunology, Rheumatology and Pathology and Forensic Medicine. According to data from OpenAlex, Mirko Scarsi has authored 18 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 7 papers in Rheumatology and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Mirko Scarsi's work include Systemic Lupus Erythematosus Research (6 papers), T-cell and B-cell Immunology (6 papers) and Immunotherapy and Immune Responses (5 papers). Mirko Scarsi is often cited by papers focused on Systemic Lupus Erythematosus Research (6 papers), T-cell and B-cell Immunology (6 papers) and Immunotherapy and Immune Responses (5 papers). Mirko Scarsi collaborates with scholars based in Italy and United States. Mirko Scarsi's co-authors include Paolo Airó, Anǵela Tincani, T. Ziglioli, Silvano Sozzani, Daniela Bosisio, Paolo Airó, Silvia Piantoni, Luigi Caimi, Cinzia Zanotti and Luisa Imberti and has published in prestigious journals such as American Journal of Hypertension, Journal of Translational Medicine and Journal of Clinical Immunology.

In The Last Decade

Mirko Scarsi

18 papers receiving 438 citations

Author Peers

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

Author Last Decade Papers Cites
Mirko Scarsi 219 180 85 64 62 18 452
Annemarie L Dorjée 277 1.3× 275 1.5× 75 0.9× 46 0.7× 64 1.0× 19 551
Valérie Badot 142 0.6× 220 1.2× 104 1.2× 63 1.0× 72 1.2× 26 409
Ola Börjesson 303 1.4× 209 1.2× 54 0.6× 36 0.6× 39 0.6× 11 511
Haruka Tsuchiya 195 0.9× 185 1.0× 52 0.6× 77 1.2× 40 0.6× 30 502
Viviana Antonella Pacucci 208 0.9× 300 1.7× 53 0.6× 33 0.5× 93 1.5× 17 464
Maiko Yoshikawa 338 1.5× 336 1.9× 52 0.6× 66 1.0× 68 1.1× 15 545
Zsuzsa Sándor 104 0.5× 193 1.1× 61 0.7× 54 0.8× 43 0.7× 15 454
J.M. van Laar 204 0.9× 229 1.3× 45 0.5× 28 0.4× 84 1.4× 23 485
Theo Dov Golan 190 0.9× 309 1.7× 61 0.7× 38 0.6× 88 1.4× 13 460
Thomas Grader‐Beck 149 0.7× 145 0.8× 88 1.0× 30 0.5× 37 0.6× 30 530

Countries citing papers authored by Mirko Scarsi

Since Specialization
Citations

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

Fields of papers citing papers by Mirko Scarsi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mirko Scarsi

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