Marina Petrini

1.4k citations
38 papers · 1.2k indexed · h-index 18
Topics
Hemoglobinopathies and Related Disorders (6 papers)MicroRNA in disease regulation (5 papers)Drug Transport and Resistance Mechanisms (5 papers)

In The Last Decade

Marina Petrini

37 papers receiving 1.1k citations

Peers

Marina Petrini
Comparison fields: 5 of 102
  • Molecular Biology 734
  • Cancer Research 418
  • Hematology 195
  • Immunology 176
  • Oncology 175
Replace Motoi Sugimura with:
Motoi Sugimura Japan
Francesco La Rocca Italy
Qicong Shen China
Liubin Yang United States
Josiane Martin France
Tasnim Ara Bangladesh
Petra Ovesná Czechia
Nathalie Beaufort Germany
Ravindran Ankathil Malaysia
Louise Smith Australia
Marina Petrini relative to Motoi Sugimura Japan Motoi Sugimura's profile →
Citations per field
00.5×3.0×
Motoi Sugimura · 1×
Citations per year

Countries citing papers authored by Marina Petrini

Since Specialization
Citations

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

Fields of papers citing papers by Marina Petrini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marina Petrini

This figure shows the co-authorship network connecting the top 25 collaborators of Marina Petrini. A scholar is included among the top collaborators of Marina Petrini 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 Marina Petrini. Marina Petrini 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 0
2 17
3 17
4 49
5 79
6 34
7 306
8 3
9 13
10 14
11
c-Ha-ras transfection and expression of MDR-related genes in MCF-10A human breast cell line.
9
12 16
13 86
14 18
15 92
16 3
17 11
18 4
19 60
20 7

About Marina Petrini

Marina Petrini is a scholar working on Hematology, Genetics and Cancer Research, having authored 38 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (6 papers), MicroRNA in disease regulation (5 papers) and Drug Transport and Resistance Mechanisms (5 papers). The work is most often cited by research in Cancer Research (418 citations), Hematology (195 citations) and Genetics (142 citations). Marina Petrini has collaborated with scholars based in Italy, United States and Czechia. Frequent co-authors include C Peschle, Alessandra Carè, Lisabianca Bottero, Federica Felicetti, Maria Cristina Errico, Gianfranco Mattia, Ugo Testa, Nadia Felli, Mario P. Colombo and Mauro Biffoni. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.

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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