Massimo Drosera

440 citations
15 papers · 332 · h-index 10

Impact in

Papers in

Massimo Drosera

15 papers receiving 318 citations

Peers

Massimo Drosera
Comparison fields: 5 of 51
  • Rheumatology 181
  • Pathology and Forensic Medicine 159
  • Genetics 62
  • Immunology 82
  • Dermatology 19
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JM van Laar Netherlands
Hanns M. Lorenz Germany
Yukinao Ishibashi Japan
Boaz Palterer Italy
Concepción Moll Spain
Magdalena Szmyrka−Kaczmarek Poland
Lucyna Korman Poland
L. Burke United States
Samy Metyas United States
Marc Heizmann Switzerland
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Citations per field
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Citations per year

Countries citing papers authored by Massimo Drosera

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Drosera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Massimo Drosera, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Massimo Drosera Line = papers co-authored together Massimo Drosera links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2014140
2 200527
3 200827
4 200420
5 201019
6 201318
7 201317
8 200216
9 199813
10 200911
11
Role of soluble and cell surface molecules in the pathogenesis of autoimmune skin diseases.
20068
12
Analysis of a multiple nuclear dots pattern in a large cohort of dermatological patients.
20126
13 20024
14 20024
15
Indirect immunofluorescence on HEp-2000 substrate is a sensitive method for detecting anti-Ro/SSA antibodies in patients with lupus erythematosus and/or photosensitivity.
20082

About Massimo Drosera

Massimo Drosera is a scholar working on Pathology and Forensic Medicine, Rheumatology, Genetics, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 15 papers that have together received 332 indexed citations. Recurring topics across this work include Autoimmune Bullous Skin Diseases (7 papers), Systemic Lupus Erythematosus Research (6 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers), Systemic Sclerosis and Related Diseases (3 papers), Urticaria and Related Conditions (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), T-cell and B-cell Immunology (2 papers) and Liver Diseases and Immunity (1 paper). The work is most often cited by research in Rheumatology (181 citations), Pathology and Forensic Medicine (159 citations), Genetics (62 citations), Immunology (82 citations) and Dermatology (19 citations). Massimo Drosera has collaborated with scholars based in Italy, Australia and United States. Frequent co-authors include Aurora Parodi, Emanuele Cozzani, Giulia Gasparini, Alfredo Rebora, Alessandro Mastrogiacomo, Maria Giovanna Dal Bello, Silvia Riva, Giovanni Murialdo, S Gandolfo and Valentina Calabresi. Their work appears in journals such as British Journal of Dermatology, Dermatology, Acta Dermato Venereologica, Archives of Dermatological Research and European Journal of Dermatology.

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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