C Zampatti
- Surgery
- Endocrinology, Diabetes and Metabolism top 10%
- Oncology
- Pathology and Forensic Medicine top 10%
- Epidemiology
- Co-authors
- Gabriele SangalliG LomuscioMarta BellottiGabriella SerioFilippo CrivelliGiovanni SerioL ColomboFausto Sessa
- Topics
- HER2/EGFR in Cancer Research (5 papers)Prenatal Screening and Diagnostics (3 papers)Neuroendocrine Tumor Research Advances (2 papers)
- Partner nations
- ItalyGermanyUnited States
In The Last Decade
C Zampatti
21 papers receiving 435 citations
Peers
Comparison fields: 5 of 56
- Surgery 186
- Endocrinology, Diabetes and Metabolism 172
- Oncology 143
- Pathology and Forensic Medicine 123
- Epidemiology 73
Countries citing papers authored by C Zampatti
This map shows the geographic impact of C Zampatti'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 C Zampatti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C Zampatti more than expected).
Fields of papers citing papers by C Zampatti
This network shows the impact of papers produced by C Zampatti. 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 C Zampatti. The network helps show where C Zampatti may publish in the future.
Co-authorship network of co-authors of C Zampatti
This figure shows the co-authorship network connecting the top 25 collaborators of C Zampatti. A scholar is included among the top collaborators of C Zampatti 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 C Zampatti. C Zampatti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 4 | |
| 3 | 73 | |
| 4 | 111 | |
| 5 | 28 | |
| 6 | 82 | |
| 7 | 15 | |
| 8 | Relationships between epidermal growth factor receptor (EGF-R) and other predictors of prognosis in breast carcinomas. An immunohistochemical study. | 6 |
| 9 | 2 | |
| 10 | 40 | |
| 11 | 17 | |
| 12 | [Malignant schwannoma of the mesentery. Presentation of a clinical case and clinical and histopathological considerations]. | 3 |
| 13 | 6 | |
| 14 | 6 | |
| 15 | Cytology of malignant mixed mesodermal tumour of the uterus: experience of 10 cases. | 10 |
| 16 | 5 | |
| 17 | 1 | |
| 18 | Sclerosing stromal tumour of the ovary. Ultrastructural study. | 1 |
| 19 | Immunohistochemical study of hepatic and enteric structures in testicular endodermal sinus tumors. | 0 |
| 20 | 9 |
About C Zampatti
C Zampatti is a scholar working on Gastroenterology, Oncology and Endocrinology, Diabetes and Metabolism, having authored 22 papers that have together received 456 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (5 papers), Prenatal Screening and Diagnostics (3 papers) and Neuroendocrine Tumor Research Advances (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (172 citations), Pathology and Forensic Medicine (123 citations) and Oncology (143 citations). C Zampatti has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include Gabriele Sangalli, G Lomuscio, Marta Bellotti, Gabriella Serio, Filippo Crivelli, Giovanni Serio, L Colombo, Fausto Sessa, Ileana Carnevali and Daniela Furlan. Their work appears in journals such as European Heart Journal, Cellular and Molecular Life Sciences and Journal of Clinical 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.