Stefania Mariggiò

1.8k citations
41 papers · 1.5k indexed · h-index 22
Topics
Protein Kinase Regulation and GTPase Signaling (19 papers)Receptor Mechanisms and Signaling (9 papers)Cellular transport and secretion (8 papers)
Partner nations
ItalyUnited StatesJapan

In The Last Decade

Stefania Mariggiò

41 papers receiving 1.4k citations

Peers

Stefania Mariggiò
Comparison fields: 5 of 105
  • Molecular Biology 1.1k
  • Cell Biology 355
  • Cellular and Molecular Neuroscience 332
  • Surgery 115
  • Immunology 103
Replace Silvia Carrasco with:
Silvia Carrasco Spain
Amanda Carozzi Australia
Peter C. Simons United States
Paschal A. Oude Weernink Germany
Jacky M. K. Kwong United States
Christiane Kleuss Germany
Marisa M. Westlin United States
David Frith United Kingdom
Tatiana Sorkina United States
Shoji Osawa United States
Stefania Mariggiò relative to Silvia Carrasco Spain Silvia Carrasco's profile →
Citations per field
00.5×1.5×1.8×
Silvia Carrasco · 1×
Citations per year

Countries citing papers authored by Stefania Mariggiò

Since Specialization
Citations

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

Fields of papers citing papers by Stefania Mariggiò

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefania Mariggiò

This figure shows the co-authorship network connecting the top 25 collaborators of Stefania Mariggiò. A scholar is included among the top collaborators of Stefania Mariggiò 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 Stefania Mariggiò. Stefania Mariggiò 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 3
2 9
3 8
4 15
5 7
6 37
7 20
8 68
9 20
10 45
11 64
12 39
13 80
14 47
15 14
16 12
17 20
18 60
19 6
20 81

About Stefania Mariggiò

Stefania Mariggiò is a scholar working on Cell Biology, Molecular Biology and Physiology, having authored 41 papers that have together received 1.5k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (19 papers), Receptor Mechanisms and Signaling (9 papers) and Cellular transport and secretion (8 papers). The work is most often cited by research in Cell Biology (355 citations), Cellular and Molecular Neuroscience (332 citations) and Molecular Biology (1.1k citations). Stefania Mariggiò has collaborated with scholars based in Italy, United States and Japan. Frequent co-authors include Michele Sallese, Antonio De Blasi, Daniela Corda, Luisa Iacovelli, Etrusca D’Urbano, Pasquale Zizza, Roman Polishchuk, Noriyuki Yanaka, Cristiano Iurisci and Noriyasu Ohshima. Their work appears in journals such as Journal of Biological Chemistry, ACS Nano and PLoS ONE.

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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