Roberto Mallone

6.2k citations
114 papers · 4.2k · h-index 35

Impact in

  • Physiology top 0.5%
    • Calcium signaling and nucleotide metabolism
    • Adenosine and Purinergic Signaling
  • Immunology top 1%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • Diabetes and associated disorders 72
    • Immune Cell Function and Interaction 50
    • T-cell and B-cell Immunology 34
    • Immunotherapy and Immune Responses 9

Roberto Mallone

112 papers receiving 4.1k citations

Peers

Roberto Mallone
Comparison fields: 5 of 114
  • Physiology 515
  • Immunology 1.8k
  • Genetics 1.8k
  • Endocrinology, Diabetes and Metabolism 1.0k
  • Surgery 1.4k
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Citations per field
00.5×9.7×
Ezio Bonvini · 1×
Citations per year

Countries citing papers authored by Roberto Mallone

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Mallone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Human CD38 (ADP-ribosyl cyclase) is a counter-receptor of CD31, an Ig superfamily member.
1998314
2 1998299
3 2010193
4 2009191
5 2015190
6 2007156
7 2002112
8 2015107
9 201188
10 200488
11 202083
12 200280
13 201174
14 200872
15 202071
16 200168
17
CD38/CD31, a receptor/ligand system ruling adhesion and signaling in human leukocytes.
200065
18 201860
19 201157
20 200554

About Roberto Mallone

Roberto Mallone is a scholar working on Genetics, Immunology, Surgery, Endocrinology, Diabetes and Metabolism and Physiology, having authored 114 papers that have together received 4.2k indexed citations. Recurring topics across this work include Diabetes and associated disorders (72 papers), Immune Cell Function and Interaction (50 papers), Pancreatic function and diabetes (49 papers), T-cell and B-cell Immunology (34 papers), Diabetes Management and Research (29 papers), Calcium signaling and nucleotide metabolism (13 papers), Immunotherapy and Immune Responses (9 papers) and Ion Channels and Receptors (5 papers). The work is most often cited by research in Physiology (515 citations), Immunology (1.8k citations), Genetics (1.8k citations), Endocrinology, Diabetes and Metabolism (1.0k citations) and Surgery (1.4k citations). Roberto Mallone has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Fabio Malavasi, Silvia Deaglio, Georgia Afonso, Clara Maria Ausiello, Christian Boîtard, Umberto Dianzani, Elisabeth Prager, Hannes Stockinger, Giovanni Maria Garbarino and Vedran Brezar. Their work appears in journals such as Diabetes, Diabetologia, PLoS ONE, Diabetes/Metabolism Research and Reviews and The Journal of Immunology.

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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