Sofia Asioli

6.6k total citations
172 papers, 3.6k citations indexed

About

Sofia Asioli is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Oncology. According to data from OpenAlex, Sofia Asioli has authored 172 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Surgery, 48 papers in Endocrinology, Diabetes and Metabolism and 41 papers in Oncology. Recurrent topics in Sofia Asioli's work include Pituitary Gland Disorders and Treatments (27 papers), Glioma Diagnosis and Treatment (25 papers) and Meningioma and schwannoma management (25 papers). Sofia Asioli is often cited by papers focused on Pituitary Gland Disorders and Treatments (27 papers), Glioma Diagnosis and Treatment (25 papers) and Meningioma and schwannoma management (25 papers). Sofia Asioli collaborates with scholars based in Italy, United States and Switzerland. Sofia Asioli's co-authors include Alberto Righi, Ricardo V. Lloyd, Gianni Bussolati, Maria Pia Foschini, Luca Morandi, Vincenzo Eusebi, Lori A. Erickson, Pier Luigi Filosso, A Oliaro and Marco Volante and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Cancer.

In The Last Decade

Sofia Asioli

158 papers receiving 3.6k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sofia Asioli 1.2k 1.1k 971 811 689 172 3.6k
Jae‐Kyung Won 879 0.7× 881 0.8× 510 0.5× 1.0k 1.3× 246 0.4× 134 3.4k
Alberto Righi 1.0k 0.8× 705 0.7× 609 0.6× 496 0.6× 304 0.4× 200 3.5k
Manju L. Prasad 1.6k 1.3× 1.8k 1.7× 1.6k 1.6× 1.2k 1.4× 388 0.6× 126 4.9k
Peter M. Sadow 1.3k 1.0× 2.4k 2.2× 1.8k 1.8× 1.1k 1.4× 404 0.6× 221 5.3k
Sofia Haque 939 0.8× 618 0.6× 478 0.5× 747 0.9× 210 0.3× 95 2.5k
Geoffrey Mendelsohn 965 0.8× 625 0.6× 643 0.7× 639 0.8× 833 1.2× 86 3.0k
Hans-Jürgen Holzhausen 612 0.5× 464 0.4× 451 0.5× 562 0.7× 327 0.5× 71 2.0k
Marc Pusztaszeri 751 0.6× 1.1k 1.1× 1.5k 1.5× 444 0.5× 326 0.5× 139 3.3k
Michael E. Kupferman 2.0k 1.6× 480 0.5× 3.3k 3.4× 661 0.8× 761 1.1× 152 5.0k
Annette Ramaswamy 1.8k 1.4× 199 0.2× 999 1.0× 1.2k 1.5× 586 0.9× 110 3.7k

Countries citing papers authored by Sofia Asioli

Since Specialization
Citations

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

Fields of papers citing papers by Sofia Asioli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sofia Asioli

This figure shows the co-authorship network connecting the top 25 collaborators of Sofia Asioli. A scholar is included among the top collaborators of Sofia Asioli 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 Sofia Asioli. Sofia Asioli 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.
Michelucci, Roberto, Giada Pauletto, Antonio Silvani, et al.. (2025). Tumor‐related epilepsy in glioma: A multidisciplinary overview. Epilepsia. 66(10). 3621–3641.
2.
3.
Evangelisti, Camilla, Antonietta Fazio, William L. Blalock, et al.. (2025). Combining prelamin A accumulation and oxidative stress: A strategy to target glioblastoma. European Journal of Cell Biology. 104(2). 151491–151491.
4.
Nunno, Vincenzo Di, Lidia Gatto, Alicia Tosoni, et al.. (2024). TP53 mutations and survival in patients with histologically defined Glioblastoma, IDH-wildtype. Pathology - Research and Practice. 262. 155516–155516.
5.
Carretta, Alessandro, Federica Guaraldi, Sofia Asioli, et al.. (2024). Clival Metastases: Single-Center Retrospective Case Series and Literature Review. Journal of Clinical Medicine. 13(9). 2580–2580. 2 indexed citations
6.
Nunno, Vincenzo Di, Stefania Bartolini, Lidia Gatto, et al.. (2023). The Biological and Clinical Role of the Telomerase Reverse Transcriptase Gene in Glioblastoma: A Potential Therapeutic Target?. Cells. 13(1). 44–44. 5 indexed citations
7.
Zoli, Matteo, Victor E. Staartjes, Federica Guaraldi, et al.. (2023). Development and external validation of clinical prediction models for pituitary surgery. SHILAP Revista de lepidopterología. 3. 102668–102668. 1 indexed citations
8.
Bochicchio, Maria Teresa, et al.. (2023). Germline CSF3R Variant in Chronic Myelomonocytic Leukemia: Linking Genetic Predisposition to Uncommon Hemorrhagic Symptoms. International Journal of Molecular Sciences. 24(22). 16021–16021.
9.
Carretta, Alessandro, Matteo Zoli, Federica Guaraldi, et al.. (2023). Endoscopic Endonasal Transplanum–Transtuberculum Approach for Pituitary Adenomas/PitNET: 25 Years of Experience. Brain Sciences. 13(7). 1121–1121. 5 indexed citations
10.
Evangelisti, Camilla, Giulia Ramazzotti, Sofia Asioli, et al.. (2023). Phospholipases in Gliomas: Current Knowledge and Future Perspectives from Bench to Bedside. Biomolecules. 13(5). 798–798. 1 indexed citations
11.
Ratti, Stefano, Sara Mongiorgi, Isabella Rusciano, et al.. (2022). Impact of phospholipase C β1 in glioblastoma: a study on the main mechanisms of tumor aggressiveness. Cellular and Molecular Life Sciences. 79(4). 195–195. 14 indexed citations
12.
Nunno, Vincenzo Di, Giuseppe Minniti, Sofia Asioli, et al.. (2022). Machine learning in neuro-oncology: toward novel development fields. Journal of Neuro-Oncology. 159(2). 333–346. 8 indexed citations
13.
Bolognesi, Federico, Nicola Fazio, Filippo Boriani, et al.. (2022). Validation of a Cleanroom Compliant Sonication-Based Decellularization Technique: A New Concept in Nerve Allograft Production. International Journal of Molecular Sciences. 23(3). 1530–1530. 3 indexed citations
14.
Zoli, Matteo, Victor E. Staartjes, Federica Guaraldi, et al.. (2021). Machine learning-based clinical outcome prediction in surgery for acromegaly. Endocrine. 75(2). 508–515. 17 indexed citations
15.
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
16.
Rusciano, Isabella, Sara Mongiorgi, Giulia Ramazzotti, et al.. (2020). Location-dependent role of phospholipase C signaling in the brain: Physiology and pathology. Advances in Biological Regulation. 79. 100771–100771. 17 indexed citations
17.
Feraco, Paola, Diego Mazzatenta, Matteo Zoli, et al.. (2020). Biomarkers of pituitary macroadenomas aggressive behaviour: a conventional MRI and DWI 3T study. British Journal of Radiology. 93(1113). 20200321–20200321. 15 indexed citations
18.
Zhang, Xiang, Jeffrey A. Johnson, Mark Lloyd, et al.. (2012). Endocrine. Modern Pathology. 25. 141–152. 1 indexed citations
19.
Marchiò, Serena, Marco Soster, Andrea Muratore, et al.. (2012). A complex of α 6 integrin and E‐cadherin drives liver metastasis of colorectal cancer cells through hepatic angiopoietin‐like 6. EMBO Molecular Medicine. 4(11). 1156–1175. 39 indexed citations
20.
Williams, Tracy Ann, Silvia Monticone, Fulvio Morello, et al.. (2010). Teratocarcinoma-Derived Growth Factor-1 Is Upregulated in Aldosterone-Producing Adenomas and Increases Aldosterone Secretion and Inhibits Apoptosis In Vitro. Hypertension. 55(6). 1468–1475. 38 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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