Maria M. Zanone

1.2k citations
26 papers · 904 indexed · h-index 17
Topics
Diabetes and associated disorders (10 papers)Pancreatic function and diabetes (9 papers)Diabetes Management and Research (7 papers)

In The Last Decade

Maria M. Zanone

26 papers receiving 880 citations

Peers

Maria M. Zanone
Comparison fields: 5 of 79
  • Molecular Biology 343
  • Surgery 286
  • Genetics 224
  • Genetics 177
  • Endocrinology, Diabetes and Metabolism 173
Replace Greg Korbutt with:
Greg Korbutt Canada
Dennis J. Chia United States
Cédric Le Maréchal France
Cuiling Li China
Kam‐Tsun Tang Taiwan
Roberta Cappellari Italy
Consuelo González‐Manchón Spain
Beatriz Velasco Spain
Brent M. Steer Canada
Anil Karihaloo United States
Maria M. Zanone relative to Greg Korbutt Canada Greg Korbutt's profile →
Citations per field
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Citations per year

Countries citing papers authored by Maria M. Zanone

Since Specialization
Citations

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

Fields of papers citing papers by Maria M. Zanone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria M. Zanone. 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 Maria M. Zanone. The network helps show where Maria M. Zanone may publish in the future.

Co-authorship network of co-authors of Maria M. Zanone

This figure shows the co-authorship network connecting the top 25 collaborators of Maria M. Zanone. A scholar is included among the top collaborators of Maria M. Zanone 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 Maria M. Zanone. Maria M. Zanone is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 28
3 139
4 108
5
Mesenchymal stem cells-derived microvesicles modulate cellular immune response to islet antigen GAD in type 1 diabetes.
1
6 82
7 36
8 20
9 38
10 42
11 11
12 41
13 9
14 36
15 20
16 59
17 8
18 12
19 13
20 34

About Maria M. Zanone

Maria M. Zanone is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Genetics, having authored 26 papers that have together received 904 indexed citations. Recurring topics across this work include Diabetes and associated disorders (10 papers), Pancreatic function and diabetes (9 papers) and Diabetes Management and Research (7 papers). The work is most often cited by research in Genetics (177 citations), Endocrinology, Diabetes and Metabolism (173 citations) and Genetics (224 citations). Maria M. Zanone has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Enrica Favaro, Giovanni Camussi, Mark Peakman, Paolo Cavallo Perin, Cristiana Caorsi, Mirella Giovarelli, Ciro Tetta, Andrea Carpanetto, Diego Vergani and Peter Watkins. Their work appears in journals such as Circulation, The Journal of Immunology and The Journal of Clinical Endocrinology & Metabolism.

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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