Daniela Barilà
Impact in
- Hematology top 5%
- Chronic Myeloid Leukemia Treatments
- Molecular Biology top 5%
- Cell death mechanisms and regulation
- DNA Repair Mechanisms
- Protein Kinase Regulation and GTPase Signaling
- Ubiquitin and proteasome pathways
Papers in
-
- DNA Repair Mechanisms 13
- Cell death mechanisms and regulation 13
- Ubiquitin and proteasome pathways 6
- Protein Kinase Regulation and GTPase Signaling 5
- Oncology 17
- Cancer-related Molecular Pathways 10
- Co-authors
- Giulio Superti‐Furga (6 shared papers)Venturina Stagni (21 shared papers)Claudia Cirotti (11 shared papers)Dwayne G. Stupack (5 shared papers)Roberto Testi (4 shared papers)Ainhoa Mielgo (3 shared papers)Alessandra Rufini (3 shared papers)Ivano Condò (3 shared papers)
- Journals
- Cancers (6 papers)Journal of Biological Chemistry (4 papers)Cell Death and Differentiation (3 papers)The EMBO Journal (3 papers)International Journal of Molecular Sciences (3 papers)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Daniela Barilà
49 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 97
- Hematology 281
- Molecular Biology 1.4k
- Oncology 474
- Cell Biology 305
- Cancer Research 249
Countries citing papers authored by Daniela Barilà
This map shows the geographic impact of Daniela Barilà'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 Daniela Barilà with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Barilà more than expected).
Fields of papers citing papers by Daniela Barilà
This network shows the impact of papers produced by Daniela Barilà. 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 Daniela Barilà. The network helps show where Daniela Barilà may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Barilà, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 183 | |
| 2 | 2006 | 163 | |
| 3 | 2009 | 113 | |
| 4 | 2002 | 102 | |
| 5 | 2013 | 80 | |
| 6 | 2000 | 75 | |
| 7 | 2008 | 71 | |
| 8 | 1996 | 68 | |
| 9 | 2017 | 62 | |
| 10 | 2011 | 61 | |
| 11 | 2020 | 55 | |
| 12 | 2007 | 55 | |
| 13 | 2003 | 55 | |
| 14 | 2015 | 50 | |
| 15 | 2018 | 49 | |
| 16 | 2008 | 48 | |
| 17 | 2020 | 46 | |
| 18 | 2006 | 46 | |
| 19 | 2021 | 46 | |
| 20 | 2000 | 44 |
About Daniela Barilà
Daniela Barilà is a scholar working on Molecular Biology, Oncology, Cell Biology, Cancer Research and Hematology, having authored 51 papers that have together received 2.0k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (13 papers), Cell death mechanisms and regulation (13 papers), Cancer-related Molecular Pathways (10 papers), Ubiquitin and proteasome pathways (6 papers), Chronic Myeloid Leukemia Treatments (6 papers), Autophagy in Disease and Therapy (6 papers), Caveolin-1 and cellular processes (6 papers) and Protein Kinase Regulation and GTPase Signaling (5 papers). The work is most often cited by research in Hematology (281 citations), Molecular Biology (1.4k citations), Oncology (474 citations), Cell Biology (305 citations) and Cancer Research (249 citations). Daniela Barilà has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Giulio Superti‐Furga, Venturina Stagni, Claudia Cirotti, Dwayne G. Stupack, Roberto Testi, Ainhoa Mielgo, Alessandra Rufini, Ivano Condò, Karel Dorey and Giuditta Perozzi. Their work appears in journals such as Cancers, Journal of Biological Chemistry, Cell Death and Differentiation, The EMBO Journal and International Journal of Molecular 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.