Daniela Verzella

2.3k total citations · 2 hit papers
34 papers, 1.7k citations indexed

About

Daniela Verzella is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Daniela Verzella has authored 34 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 17 papers in Cancer Research and 13 papers in Immunology. Recurrent topics in Daniela Verzella's work include NF-κB Signaling Pathways (8 papers), Immune cells in cancer (6 papers) and MicroRNA in disease regulation (5 papers). Daniela Verzella is often cited by papers focused on NF-κB Signaling Pathways (8 papers), Immune cells in cancer (6 papers) and MicroRNA in disease regulation (5 papers). Daniela Verzella collaborates with scholars based in Italy, United Kingdom and Australia. Daniela Verzella's co-authors include Daria Capece, Francesca Zazzeroni, Edoardo Alesse, Guido Franzoso, Mariafausta Fischietti, Alessandra Tessitore, Jessica Cornice, Germana Cicciarelli, Davide Vecchiotti and Irene Flati and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Oncogene.

In The Last Decade

Daniela Verzella

33 papers receiving 1.6k citations

Hit Papers

NF-κB: blending metabolism, immunity, and inflammation 2020 2026 2022 2024 2022 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniela Verzella Italy 19 835 530 497 350 239 34 1.7k
Daria Capece Italy 24 1.0k 1.2× 566 1.1× 571 1.1× 417 1.2× 272 1.1× 48 2.0k
Yurong Da China 26 1.2k 1.4× 470 0.9× 643 1.3× 299 0.9× 332 1.4× 44 2.0k
Meng Xia China 26 1.3k 1.6× 314 0.6× 507 1.0× 397 1.1× 309 1.3× 93 2.3k
Jie Ji China 21 1.2k 1.4× 369 0.7× 766 1.5× 370 1.1× 230 1.0× 74 2.1k
Qiao Cheng China 24 721 0.9× 505 1.0× 305 0.6× 397 1.1× 226 0.9× 56 1.6k
Zhenyi Xue China 27 1.1k 1.3× 500 0.9× 637 1.3× 382 1.1× 389 1.6× 45 2.1k
Lan Wang China 25 905 1.1× 367 0.7× 338 0.7× 274 0.8× 231 1.0× 74 1.8k
Hong Gao China 22 1.1k 1.3× 248 0.5× 580 1.2× 245 0.7× 176 0.7× 49 1.8k
Haibo Yu China 22 867 1.0× 215 0.4× 579 1.2× 258 0.7× 220 0.9× 83 1.6k

Countries citing papers authored by Daniela Verzella

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Verzella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Verzella

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Verzella. A scholar is included among the top collaborators of Daniela Verzella 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 Daniela Verzella. Daniela Verzella 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
1.
Cornice, Jessica, Daniela Verzella, Davide Vecchiotti, et al.. (2024). NF-κB: Governing Macrophages in Cancer. Genes. 15(2). 197–197. 46 indexed citations
2.
Vecchiotti, Davide, Irene Flati, Daniela Verzella, et al.. (2024). A 3D Bioprinting Approach to Studying Retinal Müller Cells. Genes. 15(11). 1414–1414. 1 indexed citations
3.
Vecchiotti, Davide, et al.. (2024). Evidence of the Link between Stroma Remodeling and Prostate Cancer Prognosis. Cancers. 16(18). 3215–3215. 4 indexed citations
4.
Verzella, Daniela, Jessica Cornice, Davide Vecchiotti, et al.. (2022). The NF-κB Pharmacopeia: Novel Strategies to Subdue an Intractable Target. Biomedicines. 10(9). 2233–2233. 20 indexed citations
5.
Capece, Daria, et al.. (2022). NF-κB: blending metabolism, immunity, and inflammation. Trends in Immunology. 43(9). 757–775. 325 indexed citations breakdown →
6.
Vecchiotti, Davide, Irene Flati, Daniela Verzella, et al.. (2022). EV-Mediated Chemoresistance in the Tumor Microenvironment: Is NF-κB a Player?. Frontiers in Oncology. 12. 933922–933922. 3 indexed citations
7.
Fischietti, Mariafausta, Frank Eckerdt, Ahmet Arslan, et al.. (2021). Schlafen 5 as a novel therapeutic target in pancreatic ductal adenocarcinoma. Oncogene. 40(18). 3273–3286. 9 indexed citations
8.
Tornatore, Laura, Daria Capece, Annamaria Sandomenico, et al.. (2021). The Screening of Combinatorial Peptide Libraries for Targeting Key Molecules or Protein–Protein Interactions in the NF-κB Pathway. Methods in molecular biology. 2366. 343–356. 1 indexed citations
9.
Fischietti, Mariafausta, Emiliano Fratini, Daniela Verzella, et al.. (2021). Low Radiation Environment Switches the Overgrowth-Induced Cell Apoptosis Toward Autophagy. Frontiers in Public Health. 8. 594789–594789. 8 indexed citations
10.
Vecchiotti, Davide, Daniela Verzella, Daria Capece, et al.. (2021). Biochemical Methods to Analyze the Subcellular Localization of NF-κB Proteins Using Cell Fractionation. Methods in molecular biology. 2366. 19–25. 2 indexed citations
11.
Capece, Daria, Daniela Verzella, Federica Begalli, et al.. (2021). Extracellular Flux Analysis to Investigate the Impact of NF-κB on Mitochondrial Respiration in Colorectal Carcinoma (CRC). Methods in molecular biology. 2366. 293–303. 1 indexed citations
12.
Bennett, Jason, Guido Franzoso, Daniela Verzella, et al.. (2020). Reprogramming immunosuppressive tumour-associated dendritic cells with GADD45β inhibitors. Clinical Medicine. 20(2). s116–s116.
13.
Capece, Daria, et al.. (2019). NF-κB and mitochondria cross paths in cancer: mitochondrial metabolism and beyond. Seminars in Cell and Developmental Biology. 98. 118–128. 48 indexed citations
14.
Capece, Daria, Daniel D’Andrea, Daniela Verzella, et al.. (2018). Turning an old GADDget into a troublemaker. Cell Death and Differentiation. 25(4). 642–644. 30 indexed citations
15.
Begalli, Federica, Jason Bennett, Daria Capece, et al.. (2017). Unlocking the NF-κB Conundrum: Embracing Complexity to Achieve Specificity. Biomedicines. 5(3). 50–50. 50 indexed citations
16.
Capece, Daria, Daniela Verzella, Alessandra Tessitore, et al.. (2017). Cancer secretome and inflammation: The bright and the dark sides of NF-κB. Seminars in Cell and Developmental Biology. 78. 51–61. 72 indexed citations
17.
Bennett, Jason, Daria Capece, Federica Begalli, et al.. (2017). NF-κB in the crosshairs: Rethinking an old riddle. The International Journal of Biochemistry & Cell Biology. 95. 108–112. 44 indexed citations
18.
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
19.
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
20.
Capece, Daria, Francesca Zazzeroni, Daniela Verzella, et al.. (2013). A Novel, Non-canonical Splice Variant of the Ikaros Gene Is Aberrantly Expressed in B-cell Lymphoproliferative Disorders. PLoS ONE. 8(7). e68080–e68080. 10 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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