Gianpiero Di Leva

11.6k citations
39 papers · 5.5k indexed · 2 hit papers · h-index 25
Topics
MicroRNA in disease regulation (28 papers)Cancer-related molecular mechanisms research (20 papers)Circular RNAs in diseases (18 papers)

In The Last Decade

Gianpiero Di Leva

38 papers receiving 5.4k citations

Hit Papers

MicroRNAs in Cancer2007202620132019201320074008001.2k

Peers

Gianpiero Di Leva
Comparison fields: 5 of 118
  • Molecular Biology 4.5k
  • Cancer Research 4.3k
  • Oncology 575
  • Pulmonary and Respiratory Medicine 298
  • Immunology 288
Replace Sun-Mi Park with:
Sun-Mi Park United States
Francesca Lovat United States
Emmanuel Labourier United States
Massimo Pedriali Italy
Joanne B. Weidhaas United States
Michela Garofalo United States
Eva Bandrés Spain
Takeshi Chiyomaru Japan
Patrizia Querzoli Italy
Gianpiero Di Leva relative to Sun-Mi Park United States Sun-Mi Park's profile →
Citations per field
00.5×
Sun-Mi Park · 1×
Citations per year

Countries citing papers authored by Gianpiero Di Leva

Since Specialization
Citations

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

Fields of papers citing papers by Gianpiero Di Leva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gianpiero Di Leva. 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 Gianpiero Di Leva. The network helps show where Gianpiero Di Leva may publish in the future.

Co-authorship network of co-authors of Gianpiero Di Leva

This figure shows the co-authorship network connecting the top 25 collaborators of Gianpiero Di Leva. A scholar is included among the top collaborators of Gianpiero Di Leva 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 Gianpiero Di Leva. Gianpiero Di Leva 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 9
2 24
3 73
4 72
5 34
6 96
7 103
8 358
9 32
10 36
11 130
12 217
13 282
14 257
15 298
16 231
17
MicroRNA Signatures in Human Ovarian Cancerbreakdown →
1199
18 37
19 71
20 13

About Gianpiero Di Leva

Gianpiero Di Leva is a scholar working on Cancer Research, Molecular Biology and Genetics, having authored 39 papers that have together received 5.5k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (28 papers), Cancer-related molecular mechanisms research (20 papers) and Circular RNAs in diseases (18 papers). The work is most often cited by research in Cancer Research (4.3k citations), Molecular Biology (4.5k citations) and Oncology (575 citations). Gianpiero Di Leva has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Carlo M. Croce, Michela Garofalo, Marilena V. Iorio, Cristian Taccioli, Patrizia Casalini, Stefano Volinia, Hansjüerg Alder, Sylvie Ménard, George A. Calin and Fabio Petrocca. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Nature Communications.

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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