Silvia Uccella

5.1k total citations · 1 hit paper
122 papers, 2.9k citations indexed

About

Silvia Uccella is a scholar working on Epidemiology, Oncology and Neurology. According to data from OpenAlex, Silvia Uccella has authored 122 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Epidemiology, 58 papers in Oncology and 36 papers in Neurology. Recurrent topics in Silvia Uccella's work include Neuroendocrine Tumor Research Advances (60 papers), Neuroblastoma Research and Treatments (29 papers) and Lung Cancer Research Studies (27 papers). Silvia Uccella is often cited by papers focused on Neuroendocrine Tumor Research Advances (60 papers), Neuroblastoma Research and Treatments (29 papers) and Lung Cancer Research Studies (27 papers). Silvia Uccella collaborates with scholars based in Italy, Switzerland and United States. Silvia Uccella's co-authors include Stefano La Rosa, Carlo Capella, Fausto Sessa, Mauro Papotti, Özgür Mete, Olca Baştürk, David S. Klimstra, L. Sylvia, Guido Rindi and Wouter W. de Herder and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Diabetes Care.

In The Last Decade

Silvia Uccella

113 papers receiving 2.8k citations

Hit Papers

Overview of the 2022 WHO Classification of Neuroendocrine... 2022 2026 2023 2024 2022 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Overview of the 2022 WHO Classification of Neuroendocrine Neoplasms
    2022 486 citations Silvia Uccella, Stefano La Rosa et al. Endocrine Pathology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Silvia Uccella Italy 27 1.7k 1.7k 994 501 396 122 2.9k
G. Klöppel Germany 24 2.4k 1.4× 2.2k 1.3× 1.2k 1.2× 1.0k 2.1× 143 0.4× 56 4.2k
Luisella Righi Italy 35 1.9k 1.1× 1.2k 0.7× 648 0.7× 296 0.6× 367 0.9× 134 3.5k
Jan Harder Germany 17 2.2k 1.3× 1.8k 1.1× 1.3k 1.3× 482 1.0× 124 0.3× 28 3.0k
P N Plowman United Kingdom 28 726 0.4× 493 0.3× 482 0.5× 955 1.9× 306 0.8× 94 2.8k
Luca Albarello Italy 33 1.7k 1.0× 1.3k 0.8× 494 0.5× 951 1.9× 187 0.5× 85 3.2k
Ingfrid S. Haldorsen Norway 33 741 0.4× 308 0.2× 471 0.5× 895 1.8× 435 1.1× 131 3.5k
Soili Kytölä Finland 26 725 0.4× 558 0.3× 403 0.4× 152 0.3× 255 0.6× 58 1.7k
Nicole Pfarr Germany 29 1.2k 0.7× 480 0.3× 255 0.3× 305 0.6× 351 0.9× 98 2.4k
A. M. McNicol United Kingdom 19 2.4k 1.4× 1.9k 1.1× 1.2k 1.2× 384 0.8× 50 0.1× 39 3.1k
Cristina Riva Italy 28 821 0.5× 614 0.4× 271 0.3× 468 0.9× 533 1.3× 69 2.3k

Countries citing papers authored by Silvia Uccella

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Uccella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Uccella

This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Uccella. A scholar is included among the top collaborators of Silvia Uccella 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 Silvia Uccella. Silvia Uccella 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.
Uccella, Silvia & Stefano La Rosa. (2025). Neuroendocrine neoplasms of the stomach. Update on diagnostic criteria, classification, and prognostic markers. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 488(1). 79–94.
2.
Lavezzi, Elisabetta, Alessandro Brunetti, Emanuela Morenghi, et al.. (2025). Clinical presentation of bone metastases in neuroendocrine tumors: a retrospective cohort study. Endocrine Related Cancer. 32(9).
3.
Dainese, Emanuele, Mario Milani, C Viganò, et al.. (2023). Primary cutaneous interdigitating dendritic cell sarcoma (IDCS): Report of a new case and literature review. Pathology - Research and Practice. 247. 154559–154559. 1 indexed citations
4.
Martin, Vittoria, Leonardo Campiotti, Michele Merli, et al.. (2023). High frequency of BCL2 gene rearrangement-negative follicular lymphoma in northwestern Italy. Cancer Genetics. 274-275. 1–9. 2 indexed citations
5.
Agaimy, Abbas, Atsuko Kasajima, Robert Stoehr, et al.. (2023). Gene fusions are frequent in ACTH-secreting neuroendocrine neoplasms of the pancreas, but not in their non-pancreatic counterparts. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 482(3). 507–516. 13 indexed citations
6.
Rossi, Roberta, Elisabetta Lavezzi, Gennaro Nappo, et al.. (2023). Urinary 5-Hydroxyindolacetic Acid Measurements in Patients with Neuroendocrine Tumor-Related Carcinoid Syndrome: State of the Art. Cancers. 15(16). 4065–4065. 2 indexed citations
7.
Uccella, Silvia, Roberta Maragliano, Maria Laura Tanda, et al.. (2023). Heterogeneity of TPIT expression in ACTH-secreting extra-pituitary neuroendocrine tumors (NETs) supports the existence of different cellular programs in pancreatic and pulmonary NETs. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 483(5). 635–643. 3 indexed citations
8.
Coppola, Andrea, Federico Fontana, Filippo Piacentino, et al.. (2023). Neuroendocrine Carcinoma of the Urinary Bladder: CT Findings and Radiomics Signature. Journal of Clinical Medicine. 12(20). 6510–6510.
9.
Russo, Elena, Francesca Gaino, Andrea Costantino, et al.. (2023). Preoperative systemic inflammatory markers as prognostic factors in differentiated thyroid cancer: a systematic review and meta-analysis. Reviews in Endocrine and Metabolic Disorders. 24(6). 1205–1216. 14 indexed citations
10.
Uccella, Silvia, Gaia Goteri, Antonino Maiorana, et al.. (2023). Clinicopathological, cytogenetic, and molecular profiles of primary cutaneous diffuse large B-cell lymphomas. Human Pathology. 136. 44–55.
11.
Lucioni, Marco, Giuseppe Neri, Michele Merli, et al.. (2023). T-Cells Subsets in Castleman Disease: Analysis of 28 Cases Including Unicentric, Multicentric and HHV8-Related Clinical Forms. International Journal of Molecular Sciences. 24(9). 7813–7813. 6 indexed citations
12.
Vitali, Eleonora, Guido Valente, Alessandro Zerbi, et al.. (2023). Pancreatic neuroendocrine tumor progression and resistance to everolimus: the crucial role of NF-kB and STAT3 interplay. Journal of Endocrinological Investigation. 47(5). 1101–1117. 3 indexed citations
13.
Uccella, Silvia, Carla Facco, Anna Maria Chiaravalli, et al.. (2022). Transcription Factor Expression in Sinonasal Neuroendocrine Neoplasms and Olfactory Neuroblastoma (ONB): Hyams’ Grades 1–3 ONBs Expand the Spectrum of SATB2 and GATA3-Positive Neoplasms. Endocrine Pathology. 33(2). 264–273. 10 indexed citations
14.
Ricci, Costantino, Luca Morandi, Francesca Ambrosi, et al.. (2021). Intron 4–5 hTERT DNA Hypermethylation in Merkel Cell Carcinoma: Frequency, Association with Other Clinico-pathological Features and Prognostic Relevance. Endocrine Pathology. 32(3). 385–395. 9 indexed citations
15.
Campiotti, Leonardo, Claudio Chini, Giuseppe Calabrese, et al.. (2020). Composite follicular lymphoma and “early” (in situ and mantle zone growth pattern) mantle cell neoplasia: A rare entity with peculiar cytogenetic and clinical features. Pathology - Research and Practice. 216(9). 153067–153067. 4 indexed citations
16.
Dionigi, Gianlorenzo, Maria Laura Tanda, Eliana Piantanida, et al.. (2017). Cohexisting Medullary and Papillary Thyroid Cancer. SERVAL (Université de Lausanne). 17(2). 57–57. 1 indexed citations
17.
Rosa, Stefano La, Fausto Sessa, & Silvia Uccella. (2016). Mixed Neuroendocrine-Nonneuroendocrine Neoplasms (MiNENs): Unifying the Concept of a Heterogeneous Group of Neoplasms. Endocrine Pathology. 27(4). 284–311. 142 indexed citations
18.
Bongiovanni, Massimo, Silvia Uccella, Luca Giovanella, et al.. (2016). Hürthle Cells Adenoma of the Thyroid with Post-surgical Implants in the Neck: Clinical, Morphological, and Molecular Analysis of Three Cases. Endocrine Pathology. 27(4). 338–345.
19.
Bernasconi, Barbara, et al.. (2015). Primary Extranodal Marginal Cell Lymphoma, MALT Type, of the Endometrium Arising in a Patient With Rheumatoid Arthritis: Report of a Case. International Journal of Gynecological Pathology. 35(4). 327–332. 4 indexed citations
20.
Rinaldi, Andrea, Ivo Kwee, Monica Taborelli, et al.. (2005). Genomic and expression profiling identifies the B‐cell associated tyrosine kinase Syk as a possible therapeutic target in mantle cell lymphoma. British Journal of Haematology. 132(3). 303–316. 147 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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