Davide Lazzereschi
- Co-authors
- Giulia CollettaFrancesco NardiGabriella MincioneMarialuisa LavitranoAnna CoppaE. SerenMonica ForniCarla Di Stefano
- Topics
- CRISPR and Genetic Engineering (4 papers)Animal Genetics and Reproduction (4 papers)TGF-β signaling in diseases (4 papers)
- Partner nations
- ItalyCzechiaUnited States
In The Last Decade
Davide Lazzereschi
14 papers receiving 488 citations
Peers
Comparison fields: 5 of 52
- Molecular Biology 385
- Genetics 234
- Oncology 117
- Endocrinology, Diabetes and Metabolism 109
- Surgery 77
Countries citing papers authored by Davide Lazzereschi
This map shows the geographic impact of Davide Lazzereschi'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 Davide Lazzereschi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Lazzereschi more than expected).
Fields of papers citing papers by Davide Lazzereschi
This network shows the impact of papers produced by Davide Lazzereschi. 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 Davide Lazzereschi. The network helps show where Davide Lazzereschi may publish in the future.
Co-authorship network of co-authors of Davide Lazzereschi
This figure shows the co-authorship network connecting the top 25 collaborators of Davide Lazzereschi. A scholar is included among the top collaborators of Davide Lazzereschi 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 Davide Lazzereschi. Davide Lazzereschi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 42 | |
| 2 | 138 | |
| 3 | Transforming growth factor-beta pathway in human renal cell carcinoma and surrounding normal-appearing renal parenchyma. | 19 |
| 4 | 7 | |
| 5 | 23 | |
| 6 | 12 | |
| 7 | 26 | |
| 8 | 67 | |
| 9 | 13 | |
| 10 | 59 | |
| 11 | 24 | |
| 12 | Oncogenes and antioncogenes involved in human thyroid carcinogenesis. | 11 |
| 13 | Human malignant thyroid tumors displayed reduced levels of transforming growth factor beta receptor type II messenger RNA and protein. | 63 |
| 14 | 1 |
About Davide Lazzereschi
Davide Lazzereschi is a scholar working on Oncology, Genetics and Molecular Biology, having authored 14 papers that have together received 505 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (4 papers), Animal Genetics and Reproduction (4 papers) and TGF-β signaling in diseases (4 papers). The work is most often cited by research in Genetics (234 citations), Endocrinology, Diabetes and Metabolism (109 citations) and Molecular Biology (385 citations). Davide Lazzereschi has collaborated with scholars based in Italy, Czechia and United States. Frequent co-authors include Giulia Colletta, Francesco Nardi, Gabriella Mincione, Marialuisa Lavitrano, Anna Coppa, E. Seren, Monica Forni, Carla Di Stefano, Daniela Piergili Fioretti and Antonella Stoppacciaro. Their work appears in journals such as Proceedings of the National Academy of Sciences, Oncogene and British Journal of Cancer.
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.