Gianfranco Mattia

3.2k total citations
54 papers, 2.4k citations indexed

About

Gianfranco Mattia is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Gianfranco Mattia has authored 54 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 16 papers in Cancer Research and 14 papers in Immunology. Recurrent topics in Gianfranco Mattia's work include MicroRNA in disease regulation (11 papers), Platelet Disorders and Treatments (7 papers) and Cancer-related molecular mechanisms research (6 papers). Gianfranco Mattia is often cited by papers focused on MicroRNA in disease regulation (11 papers), Platelet Disorders and Treatments (7 papers) and Cancer-related molecular mechanisms research (6 papers). Gianfranco Mattia collaborates with scholars based in Italy, United States and Germany. Gianfranco Mattia's co-authors include Alessandra Carè, C Peschle, Mario P. Colombo, Federica Felicetti, H. J. Hassan, Rossella Puglisi, Giampiero Macioce, Maria Cristina Errico, Lisabianca Bottero and Antonella Stoppacciaro and has published in prestigious journals such as Blood, The Journal of Immunology and PLoS ONE.

In The Last Decade

Gianfranco Mattia

54 papers receiving 2.4k citations

Peers

Gianfranco Mattia
Comparison fields: 5 of 112
  • Molecular Biology 1.4k
  • Cancer Research 746
  • Hematology 476
  • Immunology 440
  • Oncology 361
Wendy Schober United States
Shiang Huang China
Kiyohiko Hatake Japan
Kajsa Paulsson Sweden
Mang Xiao China
Françoise Porteu France
Fumihiko Kimura Japan
Jennifer H. Cox Canada
Thea Kalebic United States
Wendy Schober United States View profile →
Citations per field, relative to Gianfranco Mattia
Gianfranco Mattia · 1×
Citations per year, relative to Gianfranco Mattia
Gianfranco Mattia · 1×

Countries citing papers authored by Gianfranco Mattia

Since Specialization
Citations

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

Fields of papers citing papers by Gianfranco Mattia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gianfranco Mattia

This figure shows the co-authorship network connecting the top 25 collaborators of Gianfranco Mattia. A scholar is included among the top collaborators of Gianfranco Mattia 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 Gianfranco Mattia. Gianfranco Mattia 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
# Work Indexed citations
1 1
2 2
3 15
4 4
5 8
6 32
7 97
8 23
9 34
10 125
11 306
12 27
13 14
14 19
15 116
16 53
17 11
18 76
19 173
20 3

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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