Sofia Asioli

6.5k citations
165 papers · 3.6k · h-index 36

Impact in

Papers in

Sofia Asioli

151 papers receiving 3.5k citations

Peers

Sofia Asioli
Comparison fields: 5 of 101
  • Endocrinology, Diabetes and Metabolism 1.0k
  • Oncology 997
  • Cancer Research 451
  • Genetics 242
  • Epidemiology 522
Replace Jae‐Kyung Won with:
Jae‐Kyung Won South Korea
José Cameselle‐Teijeiro Spain
Alberto Righi Italy
Valeria Barresi Italy
Sofia Haque United States
Jan Zedenius Sweden
Manju L. Prasad United States
Peter M. Sadow United States
Matthias S. Dettmer Switzerland
Chang Ohk Sung South Korea
Sofia Asioli relative to Jae‐Kyung Won South Korea Jae‐Kyung Won's profile →
Citations per field
00.5×2.8×
Jae‐Kyung Won · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Sofia Asioli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sofia Asioli Line = papers co-authored together Sofia Asioli links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 165 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009162
2 2011143
3 2010138
4 2012115
5 200792
6 201487
7 201985
8 201178
9 201875
10 201275
11 201369
12 201265
13 201158
14 201357
15 201056
16 201754
17 201753
18 201653
19 201753
20 201151

About Sofia Asioli

Sofia Asioli is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Oncology, Epidemiology and Molecular Biology, having authored 165 papers that have together received 3.6k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (25 papers), Glioma Diagnosis and Treatment (22 papers), Thyroid Cancer Diagnosis and Treatment (18 papers), Meningioma and schwannoma management (15 papers), Polyomavirus and related diseases (10 papers), Neuroendocrine Tumor Research Advances (9 papers), Head and Neck Surgical Oncology (9 papers) and Neuroblastoma Research and Treatments (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.0k citations), Oncology (997 citations), Cancer Research (451 citations), Genetics (242 citations) and Epidemiology (522 citations). Sofia Asioli has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Alberto Righi, Ricardo V. Lloyd, Gianni Bussolati, Maria Pia Foschini, Luca Morandi, Vincenzo Eusebi, Lori A. Erickson, Marco Volante, A Oliaro and Enrico Ruffini. Their work appears in journals such as Endocrine Pathology, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, Modern Pathology, Histopathology and The American Journal of Surgical Pathology.

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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