Donatella Venturelli
- Molecular Biology top 10%
- Hematology top 1%
- Genetics top 2%
- Oncology top 10%
- Immunology top 10%
- Co-authors
- Bruno CalabrettaAlan M. GewirtzCezary SzczylikRobert B. SimsM ValtieriLicia SelleriDaniele CaraccioloGiuseppe Torelli
- Topics
- Acute Myeloid Leukemia Research (15 papers)Hemoglobinopathies and Related Disorders (14 papers)Chronic Lymphocytic Leukemia Research (11 papers)
- Cited by
- HematologyGeneticsMolecular Biology
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Donatella Venturelli
56 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 87
- Molecular Biology 1.1k
- Hematology 638
- Genetics 418
- Oncology 307
- Immunology 283
Countries citing papers authored by Donatella Venturelli
This map shows the geographic impact of Donatella Venturelli'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 Donatella Venturelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donatella Venturelli more than expected).
Fields of papers citing papers by Donatella Venturelli
This network shows the impact of papers produced by Donatella Venturelli. 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 Donatella Venturelli. The network helps show where Donatella Venturelli may publish in the future.
Co-authorship network of co-authors of Donatella Venturelli
This figure shows the co-authorship network connecting the top 25 collaborators of Donatella Venturelli. A scholar is included among the top collaborators of Donatella Venturelli 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 Donatella Venturelli. Donatella Venturelli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 9 | |
| 7 | 17 | |
| 8 | 12 | |
| 9 | 35 | |
| 10 | 33 | |
| 11 | 5 | |
| 12 | 3 | |
| 13 | 28 | |
| 14 | 35 | |
| 15 | 10 | |
| 16 | 8 | |
| 17 | Leukemic growth factor dependent cell lines. | 1 |
| 18 | Molecular study of the Philadelphia translocation in chronic myelogenous leukemia in different stages of disease. | 5 |
| 19 | Expression of growth-regulated genes in human acute leukemias. | 21 |
| 20 | 13 |
About Donatella Venturelli
Donatella Venturelli is a scholar working on Hematology, Genetics and Immunology, having authored 58 papers that have together received 1.8k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (15 papers), Hemoglobinopathies and Related Disorders (14 papers) and Chronic Lymphocytic Leukemia Research (11 papers). The work is most often cited by research in Hematology (638 citations), Genetics (418 citations) and Molecular Biology (1.1k citations). Donatella Venturelli has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Bruno Calabretta, Alan M. Gewirtz, Cezary Szczylik, Robert B. Sims, M Valtieri, Licia Selleri, Daniele Caracciolo, Giuseppe Torelli, C Peschle and Tomasz Skórski. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.