Filippo Del Vecchio

786 total citations
11 papers, 559 citations indexed

About

Filippo Del Vecchio is a scholar working on Cancer Research, Molecular Biology and Immunology. According to data from OpenAlex, Filippo Del Vecchio has authored 11 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cancer Research, 8 papers in Molecular Biology and 2 papers in Immunology. Recurrent topics in Filippo Del Vecchio's work include MicroRNA in disease regulation (7 papers), Circular RNAs in diseases (5 papers) and Extracellular vesicles in disease (4 papers). Filippo Del Vecchio is often cited by papers focused on MicroRNA in disease regulation (7 papers), Circular RNAs in diseases (5 papers) and Extracellular vesicles in disease (4 papers). Filippo Del Vecchio collaborates with scholars based in Italy, United States and United Kingdom. Filippo Del Vecchio's co-authors include Emre Sayan, Marc D. Bullock, Alessandra Tessitore, Rahul Bhome, John Primrose, Francesca Zazzeroni, Edoardo Alesse, Alex H. Mirnezami, Daria Capece and Germana Cicciarelli and has published in prestigious journals such as BMC Bioinformatics, Cancer Letters and Seminars in Cancer Biology.

In The Last Decade

Filippo Del Vecchio

11 papers receiving 555 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Filippo Del Vecchio Italy	11	399	346	79	58	56	11	559
Cui Li China	15	409 1.0×	311 0.9×	70 0.9×	60 1.0×	31 0.6×	47	657
Haixia Peng China	13	416 1.0×	308 0.9×	120 1.5×	51 0.9×	40 0.7×	25	574
Ju Ma China	13	297 0.7×	189 0.5×	101 1.3×	53 0.9×	55 1.0×	19	487
Aihua Sui China	14	310 0.8×	171 0.5×	87 1.1×	56 1.0×	29 0.5×	38	491
Xueke Qian China	8	276 0.7×	258 0.7×	132 1.7×	79 1.4×	34 0.6×	14	502
Jinsong Wang China	13	387 1.0×	239 0.7×	120 1.5×	62 1.1×	28 0.5×	29	550
Juan Yu China	16	452 1.1×	355 1.0×	59 0.7×	113 1.9×	73 1.3×	33	659
Jonathan M. Shaffer United States	9	522 1.3×	398 1.2×	64 0.8×	48 0.8×	26 0.5×	16	654
Xiaona Meng China	9	320 0.8×	179 0.5×	80 1.0×	95 1.6×	45 0.8×	17	446

Countries citing papers authored by Filippo Del Vecchio

Since Specialization

Citations

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

Fields of papers citing papers by Filippo Del Vecchio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Filippo Del Vecchio. 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 Filippo Del Vecchio. The network helps show where Filippo Del Vecchio may publish in the future.

Co-authorship network of co-authors of Filippo Del Vecchio

This figure shows the co-authorship network connecting the top 25 collaborators of Filippo Del Vecchio. A scholar is included among the top collaborators of Filippo Del Vecchio 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 Filippo Del Vecchio. Filippo Del Vecchio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

Vecchio, Filippo Del, et al.. (2021). Pro-tumoral functions of tumor-associated macrophage EV-miRNA. Seminars in Cancer Biology. 86(Pt 1). 58–63. 20 indexed citations

Vecchio, Filippo Del, et al.. (2021). Diverse roles of EV-RNA in cancer progression. Seminars in Cancer Biology. 75. 127–135. 21 indexed citations

Vecchio, Filippo Del, et al.. (2021). Professional killers: The role of extracellular vesicles in the reciprocal interactions between natural killer, CD8+ cytotoxic T‐cells and tumour cells. Journal of Extracellular Vesicles. 10(6). e12075–e12075. 45 indexed citations

Vecchio, Filippo Del, Rahul Bhome, S. Pugh, et al.. (2018). Long non-coding RNAs within the tumour microenvironment and their role in tumour-stroma cross-talk. Cancer Letters. 421. 94–102. 22 indexed citations

Bhome, Rahul, Filippo Del Vecchio, Marc D. Bullock, et al.. (2018). Exosomal microRNAs (exomiRs): Small molecules with a big role in cancer. Cancer Letters. 420. 228–235. 175 indexed citations

Vecchio, Filippo Del, Antinisca Di Marco, Daria Capece, et al.. (2017). Next-generation sequencing: recent applications to the analysis of colorectal cancer. Journal of Translational Medicine. 15(1). 246–246. 69 indexed citations

Verzella, Daniela, Mariafausta Fischietti, Daria Capece, et al.. (2016). Targeting the NF-κB pathway in prostate cancer: a promising therapeutic approach?. Current Drug Targets. 17(3). 311–320. 37 indexed citations

Tessitore, Alessandra, Germana Cicciarelli, Filippo Del Vecchio, et al.. (2016). MicroRNA expression analysis in high fat diet-induced NAFLD-NASH-HCC progression: study on C57BL/6J mice. BMC Cancer. 16(1). 3–3. 74 indexed citations

Tessitore, Alessandra, Germana Cicciarelli, Filippo Del Vecchio, et al.. (2015). Therapeutic Use of MicroRNAs in Cancer. Anti-Cancer Agents in Medicinal Chemistry. 16(1). 7–19. 22 indexed citations

10.

Vecchio, Filippo Del, et al.. (2015). Bioinformatics approach to predict target genes for dysregulated microRNAs in hepatocellular carcinoma: study on a chemically-induced HCC mouse model. BMC Bioinformatics. 16(1). 408–408. 14 indexed citations

11.

Tessitore, Alessandra, Germana Cicciarelli, Filippo Del Vecchio, et al.. (2014). MicroRNAs in the DNA Damage/Repair Network and Cancer. International Journal of Genomics. 2014. 1–10. 60 indexed citations

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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