Alba Mineo
- Molecular Biology
- Oncology
- Endocrinology, Diabetes and Metabolism top 10%
- Surgery
- Gastroenterology top 5%
- Co-authors
- Giovanni SantelliMaria Vittoria BaroneGennaro ChiappettaAlfredo FuscoDaniela CalifanoC MonacoGiancarlo VecchioMassimo Santoro
- Topics
- Cancer-related Molecular Pathways (5 papers)Hippo pathway signaling and YAP/TAZ (3 papers)Animal Genetics and Reproduction (3 papers)
- Partner nations
- ItalyUnited StatesJapan
In The Last Decade
Alba Mineo
13 papers receiving 434 citations
Peers
Comparison fields: 5 of 59
- Molecular Biology 207
- Oncology 111
- Endocrinology, Diabetes and Metabolism 110
- Surgery 99
- Gastroenterology 85
Countries citing papers authored by Alba Mineo
This map shows the geographic impact of Alba Mineo'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 Alba Mineo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alba Mineo more than expected).
Fields of papers citing papers by Alba Mineo
This network shows the impact of papers produced by Alba Mineo. 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 Alba Mineo. The network helps show where Alba Mineo may publish in the future.
Co-authorship network of co-authors of Alba Mineo
This figure shows the co-authorship network connecting the top 25 collaborators of Alba Mineo. A scholar is included among the top collaborators of Alba Mineo 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 Alba Mineo. Alba Mineo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 80 | |
| 2 | 15 | |
| 3 | 37 | |
| 4 | 52 | |
| 5 | 51 | |
| 6 | Overexpression of the HIP gene coding for a heparin/heparan sulfate-binding protein in human thyroid carcinomas. | 21 |
| 7 | Development of mammary and cutaneous gland tumors in transgenic mice carrying the RET/PTC1 oncogene. | 21 |
| 8 | Neovascularization in human germ cell tumors correlates with a marked increase in the expression of the vascular endothelial growth factor but not the placenta-derived growth factor. | 94 |
| 9 | 11 | |
| 10 | 11 | |
| 11 | 7 | |
| 12 | Production of transgenic mice expressing the Ki-ras oncogene under the control of a thyroglobulin promoter. | 38 |
| 13 | 7 |
About Alba Mineo
Alba Mineo is a scholar working on Cell Biology, Oncology and Gastroenterology, having authored 13 papers that have together received 445 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (5 papers), Hippo pathway signaling and YAP/TAZ (3 papers) and Animal Genetics and Reproduction (3 papers). The work is most often cited by research in Gastroenterology (85 citations), Endocrinology, Diabetes and Metabolism (110 citations) and Oncology (111 citations). Alba Mineo has collaborated with scholars based in Italy, United States and Japan. Frequent co-authors include Giovanni Santelli, Maria Vittoria Barone, Gennaro Chiappetta, Alfredo Fusco, Daniela Califano, C Monaco, Giancarlo Vecchio, Massimo Santoro, Rosa Marina Melillo and Roberta Visconti. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Oncogene and Gut.
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.