Marco Massarotti

94 total papers · 1.3k total citations
37 papers, 685 citations indexed

About

Marco Massarotti is a scholar working on Rheumatology, Immunology and Pathology and Forensic Medicine. According to data from OpenAlex, Marco Massarotti has authored 37 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Rheumatology, 12 papers in Immunology and 9 papers in Pathology and Forensic Medicine. Recurrent topics in Marco Massarotti's work include Rheumatoid Arthritis Research and Therapies (8 papers), Systemic Sclerosis and Related Diseases (7 papers) and Autoimmune and Inflammatory Disorders Research (6 papers). Marco Massarotti is often cited by papers focused on Rheumatoid Arthritis Research and Therapies (8 papers), Systemic Sclerosis and Related Diseases (7 papers) and Autoimmune and Inflammatory Disorders Research (6 papers). Marco Massarotti collaborates with scholars based in Italy, United Kingdom and United States. Marco Massarotti's co-authors include Antonio Sica, Carlo Selmi, Bianca Marasini, Angela Ceribelli, Elena Generali, Laura Belloli, Carlo Alberto Scirè, Maria De Santis, Gerolamo Bianchi and Natasa Isailovic and has published in prestigious journals such as PLoS ONE, Annals of the Rheumatic Diseases and Osteoarthritis and Cartilage.

In The Last Decade

Marco Massarotti

36 papers receiving 671 citations

Author Peers

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

Author Last Decade Papers Cites
Marco Massarotti 273 197 150 130 93 37 685
Katarzyna Romanowska‐Próchnicka 221 0.8× 179 0.9× 81 0.5× 159 1.2× 137 1.5× 37 626
Yiming Luo 222 0.8× 295 1.5× 158 1.1× 64 0.5× 96 1.0× 30 746
Ioannis Alexiou 174 0.6× 305 1.5× 82 0.5× 147 1.1× 65 0.7× 23 671
Min Wook So 196 0.7× 248 1.3× 80 0.5× 59 0.5× 112 1.2× 48 604
Gyula Szegedi 176 0.6× 220 1.1× 64 0.4× 185 1.4× 56 0.6× 46 600
Zoltán Szekanecz 145 0.5× 280 1.4× 72 0.5× 150 1.2× 87 0.9× 24 651
Tatiana Nevskaya 160 0.6× 178 0.9× 94 0.6× 290 2.2× 132 1.4× 33 638
Maggie Larché 270 1.0× 175 0.9× 47 0.3× 128 1.0× 106 1.1× 51 711
Linchong Su 295 1.1× 179 0.9× 100 0.7× 53 0.4× 234 2.5× 37 772
Jingru Tian 208 0.8× 226 1.1× 75 0.5× 75 0.6× 91 1.0× 22 574

Countries citing papers authored by Marco Massarotti

Since Specialization
Citations

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

Fields of papers citing papers by Marco Massarotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Massarotti

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