Daniela Spano
Impact in
- Hepatology top 5%
- Hepatitis C virus research
- Oncology top 10%
- Cancer Cells and Metastasis
- PARP inhibition in cancer therapy
Papers in
-
- Receptor Mechanisms and Signaling 5
- Ubiquitin and proteasome pathways 3
- Photosynthetic Processes and Mechanisms 3
- Oncology 9
- Co-authors
- Massimo Zollo (6 shared papers)Pasqualino De Antonellis (2 shared papers)Gerhard Christofori (1 shared paper)Chantal Heck (1 shared paper)Daniela Corda (6 shared papers)Achille Iolascon (8 shared papers)Giuliana Catara (3 shared papers)Mario Capasso (7 shared papers)
- Journals
- Clinical & Experimental Metastasis (3 papers)Molecular Medicine (2 papers)Cells (2 papers)Frontiers in Oncology (2 papers)Journal of Proteome Research (2 papers)
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Daniela Spano
37 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 107
- Hepatology 163
- Oncology 369
- Immunology 276
- Cell Biology 202
- Cancer Research 156
Countries citing papers authored by Daniela Spano
This map shows the geographic impact of Daniela Spano'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 Spano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Spano more than expected).
Fields of papers citing papers by Daniela Spano
This network shows the impact of papers produced by Daniela Spano. 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 Spano. The network helps show where Daniela Spano may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Spano, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 294 | |
| 2 | 2012 | 159 | |
| 3 | 2007 | 134 | |
| 4 | 2017 | 87 | |
| 5 | 2012 | 83 | |
| 6 | 2009 | 65 | |
| 7 | 2007 | 60 | |
| 8 | 2004 | 56 | |
| 9 | 2006 | 54 | |
| 10 | 2015 | 51 | |
| 11 | 2020 | 50 | |
| 12 | 2012 | 49 | |
| 13 | 2010 | 48 | |
| 14 | 2023 | 41 | |
| 15 | 2016 | 33 | |
| 16 | 2013 | 33 | |
| 17 | 2006 | 29 | |
| 18 | 2007 | 25 | |
| 19 | 2022 | 24 | |
| 20 | 2021 | 23 |
About Daniela Spano
Daniela Spano is a scholar working on Molecular Biology, Oncology, Cellular and Molecular Neuroscience, Cell Biology and Immunology, having authored 38 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cellular transport and secretion (5 papers), Receptor Mechanisms and Signaling (5 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), Ubiquitin and proteasome pathways (3 papers), Photosynthetic Processes and Mechanisms (3 papers), Galectins and Cancer Biology (2 papers), Microtubule and mitosis dynamics (2 papers) and Liver physiology and pathology (2 papers). The work is most often cited by research in Hepatology (163 citations), Oncology (369 citations), Immunology (276 citations), Cell Biology (202 citations) and Cancer Research (156 citations). Daniela Spano has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Massimo Zollo, Pasqualino De Antonellis, Gerhard Christofori, Chantal Heck, Daniela Corda, Achille Iolascon, Giuliana Catara, Mario Capasso, Antonino Colanzi and Roberta Russo. Their work appears in journals such as Clinical & Experimental Metastasis, Molecular Medicine, Cells, Frontiers in Oncology and Journal of Proteome 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.