Alfonso Urbanucci

2.7k total citations
36 papers, 1.4k citations indexed

About

Alfonso Urbanucci is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Cancer Research. According to data from OpenAlex, Alfonso Urbanucci has authored 36 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Pulmonary and Respiratory Medicine, 21 papers in Molecular Biology and 9 papers in Cancer Research. Recurrent topics in Alfonso Urbanucci's work include Prostate Cancer Treatment and Research (22 papers), Ubiquitin and proteasome pathways (9 papers) and Cancer, Lipids, and Metabolism (5 papers). Alfonso Urbanucci is often cited by papers focused on Prostate Cancer Treatment and Research (22 papers), Ubiquitin and proteasome pathways (9 papers) and Cancer, Lipids, and Metabolism (5 papers). Alfonso Urbanucci collaborates with scholars based in Norway, Finland and United Kingdom. Alfonso Urbanucci's co-authors include Tapio Visakorpi, Kati K. Waltering, Ian G. Mills, Leena Latonen, Teuvo L.J. Tammela, Sanni E. Jalava, Harri M. Itkonen, Olli A. Jänne, Harri Lähdesmäki and Janne Seppälä and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and PLoS ONE.

In The Last Decade

Alfonso Urbanucci

34 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alfonso Urbanucci Norway 22 967 598 537 183 171 36 1.4k
James D. Joseph United States 18 863 0.9× 638 1.1× 296 0.6× 295 1.6× 254 1.5× 29 1.5k
D. Alwyn Dart United Kingdom 18 1.1k 1.1× 179 0.3× 594 1.1× 117 0.6× 258 1.5× 39 1.4k
Meena Augustus United States 16 1.4k 1.4× 451 0.8× 619 1.2× 294 1.6× 236 1.4× 35 1.9k
Maxime Tarabichi Belgium 16 574 0.6× 187 0.3× 351 0.7× 122 0.7× 222 1.3× 28 1.1k
René Böttcher Netherlands 17 986 1.0× 247 0.4× 654 1.2× 63 0.3× 130 0.8× 29 1.3k
Yulian Niu Canada 18 787 0.8× 100 0.2× 346 0.6× 266 1.5× 310 1.8× 20 1.2k
Helen Cheng Canada 20 1.1k 1.2× 606 1.0× 264 0.5× 533 2.9× 220 1.3× 28 1.8k
Wei‐Hsiung Yang United States 19 694 0.7× 211 0.4× 348 0.6× 260 1.4× 237 1.4× 39 1.3k
Yunzhao R. Ren United States 10 528 0.5× 98 0.2× 340 0.6× 91 0.5× 153 0.9× 16 942
Dana Napier United States 20 1.2k 1.2× 127 0.2× 433 0.8× 111 0.6× 300 1.8× 24 1.6k

Countries citing papers authored by Alfonso Urbanucci

Since Specialization
Citations

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

Fields of papers citing papers by Alfonso Urbanucci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alfonso Urbanucci

This figure shows the co-authorship network connecting the top 25 collaborators of Alfonso Urbanucci. A scholar is included among the top collaborators of Alfonso Urbanucci 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 Alfonso Urbanucci. Alfonso Urbanucci 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
2.
Krossa, Sebastian, Maria Andersen, Maximilian Wess, et al.. (2025). Spatial multi-omics identifies aggressive prostate cancer signatures highlighting pro-inflammatory chemokine activity in the tumor microenvironment. Nature Communications. 16(1). 10160–10160.
3.
4.
Urbanucci, Alfonso, et al.. (2024). Link between circadian rhythm and benign prostatic hyperplasia (BPH)/lower urinary tract symptoms (LUTS). The Prostate. 84(5). 417–425. 5 indexed citations
5.
Taavitsainen, Sinja, et al.. (2021). Chromatin and Epigenetic Dysregulation of Prostate Cancer Development, Progression, and Therapeutic Response. Cancers. 13(13). 3325–3325. 26 indexed citations
6.
Itkonen, Harri M., Ninu Poulose, Rebecca E. Steele, et al.. (2020). Inhibition of O-GlcNAc Transferase Renders Prostate Cancer Cells Dependent on CDK9. Molecular Cancer Research. 18(10). 1512–1521. 41 indexed citations
7.
Pace, Marta, Andrea Freschi, Chiara Berteotti, et al.. (2020). Loss of Snord116 impacts lateral hypothalamus, sleep, and food-related behaviors. JCI Insight. 5(12). 22 indexed citations
8.
Shcherban, Anastasia, Matti Annala, Alfonso Urbanucci, et al.. (2020). AR and ERG drive the expression of prostate cancer specific long noncoding RNAs. Oncogene. 39(30). 5241–5251. 9 indexed citations
9.
Ramberg, Håkon, Helene Hartvedt Grytli, Alfonso Urbanucci, et al.. (2019). The β2-Adrenergic Receptor Is a Molecular Switch for Neuroendocrine Transdifferentiation of Prostate Cancer Cells. Molecular Cancer Research. 17(11). 2154–2168. 18 indexed citations
10.
Urbanucci, Alfonso, et al.. (2019). Chromatin reprogramming as an adaptation mechanism in advanced prostate cancer. Endocrine Related Cancer. 26(4). R211–R235. 15 indexed citations
11.
Itkonen, Harri M., Alfonso Urbanucci, Sara E. Martin, et al.. (2019). High OGT activity is essential for MYC-driven proliferation of prostate cancer cells. Theranostics. 9(8). 2183–2197. 65 indexed citations
12.
Kivinummi, Kati, Alfonso Urbanucci, Katri A. Leinonen, et al.. (2017). The expression of AURKA is androgen regulated in castration-resistant prostate cancer. Scientific Reports. 7(1). 17978–17978. 41 indexed citations
13.
Barfeld, Stefan J., Alfonso Urbanucci, Harri M. Itkonen, et al.. (2017). c-Myc Antagonises the Transcriptional Activity of the Androgen Receptor in Prostate Cancer Affecting Key Gene Networks. EBioMedicine. 18. 83–93. 78 indexed citations
14.
Zuber, Verena, Francesco Bettella, Aree Witoelar, et al.. (2017). Bromodomain protein 4 discriminates tissue-specific super-enhancers containing disease-specific susceptibility loci in prostate and breast cancer. BMC Genomics. 18(1). 270–270. 26 indexed citations
15.
Tekpli, Xavier, Alfonso Urbanucci, Cathrine Broberg Vågbø, et al.. (2016). Changes of 5-hydroxymethylcytosine distribution during myeloid and lymphoid differentiation of CD34+ cells. Epigenetics & Chromatin. 9(1). 21–21. 18 indexed citations
16.
McNair, Christopher, Alfonso Urbanucci, Clay E.S. Comstock, et al.. (2016). Cell cycle-coupled expansion of AR activity promotes cancer progression. Oncogene. 36(12). 1655–1668. 29 indexed citations
17.
Barfeld, Stefan J., Harri M. Itkonen, Alfonso Urbanucci, & Ian G. Mills. (2014). Androgen-regulated metabolism and biosynthesis in prostate cancer. Endocrine Related Cancer. 21(4). T57–T66. 56 indexed citations
18.
Lehmusvaara, Saara, Alfonso Urbanucci, Sanni E. Jalava, et al.. (2012). Goserelin and bicalutamide treatments alter the expression of microRNAs in the prostate. The Prostate. 73(1). 101–112. 12 indexed citations
19.
Lehmusvaara, Saara, Alfonso Urbanucci, Kati K. Waltering, et al.. (2012). Chemical castration and anti‐androgens induce differential gene expression in prostate cancer. The Journal of Pathology. 227(3). 336–345. 26 indexed citations
20.
Urbanucci, Alfonso, et al.. (2008). Androgen regulation of the androgen receptor coregulators. BMC Cancer. 8(1). 219–219. 53 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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