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
- Photosynthetic Processes and Mechanisms 3
- Ubiquitin and proteasome pathways 3
- Oncology 9
- Co-authors
- Massimo Zollo (6 shared papers)Pasqualino De Antonellis (2 shared papers)Chantal Heck (1 shared paper)Gerhard Christofori (1 shared paper)Daniela Corda (6 shared papers)Achille Iolascon (8 shared papers)Mario Capasso (7 shared papers)Giuliana Catara (3 shared papers)
- Journals
- Clinical & Experimental Metastasis (3 papers)Journal of Proteome Research (2 papers)Cells (2 papers)Molecular Medicine (2 papers)Frontiers in Oncology (2 papers)
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Daniela Spano
36 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 111
- Hepatology 189
- Oncology 404
- Immunology 285
- Cell Biology 213
- Cancer Research 184
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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 290 | |
| 2 | 2012 | 158 | |
| 3 | 2007 | 133 | |
| 4 | 2017 | 83 | |
| 5 | 2012 | 82 | |
| 6 | 2009 | 65 | |
| 7 | 2007 | 60 | |
| 8 | 2004 | 56 | |
| 9 | 2006 | 54 | |
| 10 | 2015 | 50 | |
| 11 | 2012 | 49 | |
| 12 | 2010 | 48 | |
| 13 | 2020 | 48 | |
| 14 | 2016 | 33 | |
| 15 | 2013 | 33 | |
| 16 | 2006 | 29 | |
| 17 | 2023 | 29 | |
| 18 | 2007 | 25 | |
| 19 | 2022 | 24 | |
| 20 | 2010 | 22 |
About Daniela Spano
Daniela Spano is a scholar working on Molecular Biology, Oncology, Cellular and Molecular Neuroscience, Cell Biology and Immunology, having authored 37 papers that have together received 1.6k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (5 papers), Cellular transport and secretion (5 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), Photosynthetic Processes and Mechanisms (3 papers), Hepatitis C virus research (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Ubiquitin and proteasome pathways (3 papers) and Galectins and Cancer Biology (2 papers). The work is most often cited by research in Hepatology (189 citations), Oncology (404 citations), Immunology (285 citations), Cell Biology (213 citations) and Cancer Research (184 citations). Daniela Spano has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Massimo Zollo, Pasqualino De Antonellis, Chantal Heck, Gerhard Christofori, Daniela Corda, Achille Iolascon, Mario Capasso, Giuliana Catara, Antonino Colanzi and Roberta Russo. Their work appears in journals such as Clinical & Experimental Metastasis, Journal of Proteome Research, Cells, Molecular Medicine and Frontiers in Oncology.
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.