Daniela Terracciano

5.6k total citations
134 papers, 3.1k citations indexed

About

Daniela Terracciano is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Daniela Terracciano has authored 134 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Pulmonary and Respiratory Medicine, 28 papers in Cancer Research and 26 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Daniela Terracciano's work include Prostate Cancer Treatment and Research (38 papers), Prostate Cancer Diagnosis and Treatment (28 papers) and Cancer, Lipids, and Metabolism (13 papers). Daniela Terracciano is often cited by papers focused on Prostate Cancer Treatment and Research (38 papers), Prostate Cancer Diagnosis and Treatment (28 papers) and Cancer, Lipids, and Metabolism (13 papers). Daniela Terracciano collaborates with scholars based in Italy, United States and Romania. Daniela Terracciano's co-authors include Matteo Ferro, Giuseppe Lucarelli, Ottavio De Cobelli, Carlo Buonerba, Michele Cennamo, Vincenzo Macchia, Evelina La Civita, Giuseppe Di Lorenzo, Sisto Perdonà and Dario Bruzzese and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Daniela Terracciano

125 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniela Terracciano Italy 37 1.2k 1.1k 728 451 381 134 3.1k
Keiichi Ito Japan 34 943 0.8× 1.3k 1.2× 511 0.7× 572 1.3× 932 2.4× 349 4.3k
Christoph Daniel Germany 38 497 0.4× 1.6k 1.5× 331 0.5× 525 1.2× 493 1.3× 169 4.2k
Takashi Kobayashi Japan 27 1.3k 1.1× 1.0k 0.9× 511 0.7× 689 1.5× 933 2.4× 323 3.2k
Hong Zhang China 27 724 0.6× 858 0.8× 380 0.5× 591 1.3× 301 0.8× 214 2.9k
Toshiyuki Kamoto Japan 37 1.6k 1.3× 1.4k 1.3× 602 0.8× 840 1.9× 788 2.1× 262 3.9k
Kouji Izumi Japan 29 1.4k 1.2× 888 0.8× 454 0.6× 985 2.2× 430 1.1× 219 3.4k
Xiangning Fu China 27 775 0.6× 828 0.8× 569 0.8× 593 1.3× 279 0.7× 132 2.3k
Klaus Wagner Germany 33 461 0.4× 708 0.7× 297 0.4× 316 0.7× 465 1.2× 68 3.0k
Steven A. Bigler United States 31 1.5k 1.2× 825 0.8× 382 0.5× 531 1.2× 562 1.5× 79 3.3k

Countries citing papers authored by Daniela Terracciano

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Terracciano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Terracciano

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Terracciano. A scholar is included among the top collaborators of Daniela Terracciano 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 Terracciano. Daniela Terracciano 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.
Civita, Evelina La, et al.. (2025). Advancing Clinical Use of Neurofilament Light Chain: Translational Insights From Research to Routine Practice. Biomarker Insights. 20. 3439630514–3439630514.
2.
Civita, Evelina La, Felice Crocetto, Francesco Lasorsa, et al.. (2025). FABP4-mediated ERK phosphorylation promotes renal cancer cell migration. BMC Cancer. 25(1). 575–575. 3 indexed citations
3.
4.
Civita, Evelina La, et al.. (2024). Metal Enhanced Fluorescence Immunosensor Based on Gold Nanoparticles Array for Early Diagnosis of Prostate Cancer. IEEE Sensors Letters. 8(10). 1–4. 3 indexed citations
5.
Ferro, Matteo, Bernardo Rocco, Martina Maggi, et al.. (2023). Beyond blood biomarkers: the role of SelectMDX in clinically significant prostate cancer identification. Expert Review of Molecular Diagnostics. 23(12). 1061–1070. 6 indexed citations
6.
Civita, Evelina La, Carla Zannella, Paolo Romano, et al.. (2023). BNT162b2 Elicited an Efficient Cell-Mediated Response against SARS-CoV-2 in Kidney Transplant Recipients and Common Variable Immunodeficiency Patients. Viruses. 15(8). 1659–1659. 4 indexed citations
7.
Ferro, Matteo, Gennaro Musi, Michele Marchioni, et al.. (2023). Radiogenomics in Renal Cancer Management—Current Evidence and Future Prospects. International Journal of Molecular Sciences. 24(5). 4615–4615. 49 indexed citations
8.
Ciaramella, Angelo, et al.. (2023). A new biomarker panel of ultraconserved long non-coding RNAs for bladder cancer prognosis by a machine learning based methodology. BMC Bioinformatics. 23(S6). 569–569. 3 indexed citations
9.
Brancaccio, Mariarita, Cristina Mennitti, Daniela Terracciano, et al.. (2022). Diagnostic and Therapeutic Potential for HNP-1, HBD-1 and HBD-4 in Pregnant Women with COVID-19. International Journal of Molecular Sciences. 23(7). 3450–3450. 8 indexed citations
10.
Angeloni, Antonio, Corrado De Vito, Antonella Farina, et al.. (2022). New Analytical Approach for the Alignment of Different HE4 Automated Immunometric Systems: An Italian Multicentric Study. Journal of Clinical Medicine. 11(7). 1994–1994. 8 indexed citations
11.
Monti, Martina, Riccardo Campi, Giulia Primiceri, et al.. (2022). Micro-RNAs Predict Response to Systemic Treatments in Metastatic Renal Cell Carcinoma Patients: Results from a Systematic Review of the Literature. Biomedicines. 10(6). 1287–1287. 12 indexed citations
12.
Crocetto, Felice, Gianluca Russo, Erika Di Zazzo, et al.. (2022). Liquid Biopsy in Prostate Cancer Management—Current Challenges and Future Perspectives. Cancers. 14(13). 3272–3272. 74 indexed citations
13.
Terracciano, Daniela, Evelina La Civita, Antonietta Liotti, et al.. (2022). New strategy for the identification of prostate cancer: The combination of Proclarix and the prostate health index. The Prostate. 82(15). 1469–1476. 16 indexed citations
14.
15.
Ferro, Matteo, Felice Crocetto, Dario Bruzzese, et al.. (2021). Prostate Health Index and Multiparametric MRI: Partners in Crime Fighting Overdiagnosis and Overtreatment in Prostate Cancer. Cancers. 13(18). 4723–4723. 33 indexed citations
16.
Gentile, Francesco, Matteo Ferro, Bartolomeo Della Ventura, et al.. (2021). Optimized Identification of High-Grade Prostate Cancer by Combining Different PSA Molecular Forms and PSA Density in a Deep Learning Model. Diagnostics. 11(2). 335–335. 17 indexed citations
17.
Terracciano, Daniela, Sara Terreri, Filomena de Nigris, et al.. (2017). The role of a new class of long noncoding RNAs transcribed from ultraconserved regions in cancer. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1868(2). 449–455. 38 indexed citations
18.
Terreri, Sara, Vincenza Colonna, Alessandra Romanelli, et al.. (2016). New Cross-Talk Layer between Ultraconserved Non-Coding RNAs, MicroRNAs and Polycomb Protein YY1 in Bladder Cancer. Genes. 7(12). 127–127. 23 indexed citations
19.
Cariati, Federica, Armando Negri, Claudia Pivonello, et al.. (2012). Vitamin D from genetics to the clinical in prostate cancer. 15th International & 14th European Congress of Endocrinology. 29. 1 indexed citations
20.

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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