Valeria Coppola

2.3k citations
25 papers · 1.8k indexed · 1 hit paper · h-index 15

Valeria Coppola

24 papers receiving 1.8k citations

Hit Papers

The miR-15a–miR-16-1 cluster controls prostate cancer by ...7892008202620142020250500750

Peers

Valeria Coppola
Comparison fields: 5 of 93
  • Cancer Research 1.3k
  • Molecular Biology 1.4k
  • Genetics 175
  • Radiology, Nuclear Medicine and Imaging 152
  • Pulmonary and Respiratory Medicine 195
Replace Xiaobai Liu with:
Xiaobai Liu China
Nives Pećina‐Šlaus Croatia
Hilary Blair United States
Junjie Gu China
Shiv K. Singh Germany
Bo You China
Qingfu Zhang China
Takahito Fukusumi Japan
Chisato Nakada Japan
Demirkan Gursel United States
Valeria Coppola relative to Xiaobai Liu China Xiaobai Liu's profile →
Citations per field
00.5×10.3×
Xiaobai Liu · 1×
Citations per year

Countries citing papers authored by Valeria Coppola

Since Specialization
Citations

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

Fields of papers citing papers by Valeria Coppola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Valeria Coppola, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Valeria Coppola Line = papers co-authored together Valeria Coppola links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20184
2 201735
3 201715
4 201634
5 2015103
6 201514
7 20135
8 201286
9 201226
10 201285
11 201138
12 201127
13 2011201
14 201023
15 2009121
16 20092
17 20093
18 2008211
19 20087
20 20074

About Valeria Coppola

Valeria Coppola is a scholar working on Cancer Research, Genetics, Radiology, Nuclear Medicine and Imaging, Geriatrics and Gerontology and Molecular Biology, having authored 25 papers that have together received 1.8k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (8 papers), Circular RNAs in diseases (7 papers), Cancer-related molecular mechanisms research (4 papers), Advanced Neuroimaging Techniques and Applications (4 papers), MRI in cancer diagnosis (2 papers), Extracellular vesicles in disease (2 papers), Peripheral Nerve Disorders (2 papers) and Glioma Diagnosis and Treatment (2 papers). The work is most often cited by research in Cancer Research (1.3k citations), Molecular Biology (1.4k citations), Genetics (175 citations), Radiology, Nuclear Medicine and Imaging (152 citations) and Pulmonary and Respiratory Medicine (195 citations). Valeria Coppola has collaborated with scholars based in Italy, Malaysia and Denmark. Frequent co-authors include Ruggero De Maria, Désirée Bonci, Giovanni Muto, Antonio Addario, Mauro Biffoni, Maria Musumeci, Lorenzo Memeo, Leonardo D’Urso, Alfredo Pagliuca and C Peschle. Their work appears in journals such as Oncogene, European Radiology, Current Protocols in Molecular Biology, Nature Medicine and Autophagy.

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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