Mario Perotti

801 citations
29 papers · 605 indexed · h-index 14

Impact in

Papers in

Mario Perotti

29 papers receiving 588 citations

Peers

Mario Perotti
Comparison fields: 5 of 83
  • Hepatology 173
  • Clinical Biochemistry 85
  • Epidemiology 290
  • Virology 37
  • Radiology, Nuclear Medicine and Imaging 162
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Citations per field
00.5×3.3×
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Citations per year

Countries citing papers authored by Mario Perotti

Since Specialization
Citations

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

Fields of papers citing papers by Mario Perotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Mario Perotti, 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 Mario Perotti Line = papers co-authored together Mario Perotti links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202021
2 20184
3 201610
4 20146
5 20137
6 20137
7 20123
8 20122
9
GH deficiency in adult B-thalassemia major patients and its relationship with IGF-1 production.
201111
10 201116
11 200959
12 200836
13 200822
14 200618
15 20054
16 20055
17 200426
18
Heterogeneity of the humoral anti-HCV/E2 response in persistently infected patients as demonstrated by divergent patterns of inhibition of the binding of anti-HCV/E2 human monoclonal antibodies.
200410
19
Phage display for the production of human monoclonal antibodies against human pathogens.
200414
20 199229

About Mario Perotti

Mario Perotti is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems and Genetics, having authored 29 papers that have together received 605 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (9 papers), Hepatitis C virus research (6 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Hepatitis B Virus Studies (3 papers), Antifungal resistance and susceptibility (3 papers), Ocular Infections and Treatments (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Systemic Lupus Erythematosus Research (2 papers). The work is most often cited by research in Hepatology (173 citations), Clinical Biochemistry (85 citations), Epidemiology (290 citations), Virology (37 citations) and Radiology, Nuclear Medicine and Imaging (162 citations). Mario Perotti has collaborated with scholars based in Italy, Canada and United Kingdom. Frequent co-authors include Roberto Burioni, Nicasio Mancini, Massimo Clementi, Roberta A. Diotti, Donata De Marco, Jonathan K. Ball, Arvind H. Patel, Nicola Clementi, Nadia Ghidoli and Filippo Canducci. Their work appears in journals such as Journal of Medical Microbiology, PLoS ONE, Journal of Virology, Journal of Nephrology and Journal of Microbiological Methods.

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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