N. Valerio Dorrello
- Molecular Biology top 5%
- Oncology top 5%
- Cell Biology top 2%
- Cancer Research top 10%
- Epidemiology
- Co-authors
- Daniele GuardavaccaroMichele PaganoAngelo PeschiaroliNicholas E. ShermanNancy H. ColburnVirginia AmadorTarig BashirMaddalena Donzelli
- Topics
- Neonatal Respiratory Health Research (4 papers)Tissue Engineering and Regenerative Medicine (3 papers)Microtubule and mitosis dynamics (3 papers)
- Partner nations
- United StatesItalyFrance
In The Last Decade
N. Valerio Dorrello
18 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Molecular Biology 1.6k
- Oncology 632
- Cell Biology 525
- Cancer Research 198
- Epidemiology 168
Countries citing papers authored by N. Valerio Dorrello
This map shows the geographic impact of N. Valerio Dorrello'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 N. Valerio Dorrello with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Valerio Dorrello more than expected).
Fields of papers citing papers by N. Valerio Dorrello
This network shows the impact of papers produced by N. Valerio Dorrello. 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 N. Valerio Dorrello. The network helps show where N. Valerio Dorrello may publish in the future.
Co-authorship network of co-authors of N. Valerio Dorrello
This figure shows the co-authorship network connecting the top 25 collaborators of N. Valerio Dorrello. A scholar is included among the top collaborators of N. Valerio Dorrello 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 N. Valerio Dorrello. N. Valerio Dorrello is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 5 | |
| 7 | 157 | |
| 8 | 4 | |
| 9 | 25 | |
| 10 | 12 | |
| 11 | 7 | |
| 12 | 36 | |
| 13 | 74 | |
| 14 | 29 | |
| 15 | 162 | |
| 16 | S6K1- and ßTRCP-Mediated Degradation of PDCD4 Promotes Protein Translation and Cell Growthbreakdown → | 573 |
| 17 | 232 | |
| 18 | 417 | |
| 19 | Degradation of Cdc25A by β-TrCP during S phase and in response to DNA damagebreakdown → | 362 |
About N. Valerio Dorrello
N. Valerio Dorrello is a scholar working on Critical Care and Intensive Care Medicine, Emergency Medicine and Infectious Diseases, having authored 19 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (4 papers), Tissue Engineering and Regenerative Medicine (3 papers) and Microtubule and mitosis dynamics (3 papers). The work is most often cited by research in Cell Biology (525 citations), Molecular Biology (1.6k citations) and Oncology (632 citations). N. Valerio Dorrello has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Daniele Guardavaccaro, Michele Pagano, Angelo Peschiaroli, Nicholas E. Sherman, Nancy H. Colburn, Virginia Amador, Tarig Bashir, Maddalena Donzelli, Luca Busino and Massimo Chiesa. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.