Daniela Pistillo
Impact in
- Aging top 10%
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- Neurobiology and Insect Physiology Research
Papers in
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- Developmental Biology and Gene Regulation 6
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- Neurobiology and Insect Physiology Research 6
- Co-authors
- Patricia Simpson (6 shared papers)Claude Desplan (4 shared papers)Nick Skaer (3 shared papers)Kazuya Usui (2 shared papers)Tamara Mikeladze‐Dvali (2 shared papers)Mathias F. Wernet (1 shared paper)Stephen M. Cohen (1 shared paper)Esteban O. Mazzoni (1 shared paper)
- Journals
- Current topics in developmental biology (1 paper)Gene (1 paper)Journal of Thoracic Oncology (1 paper)Current Biology (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Daniela Pistillo
20 papers receiving 669 citations
Peers
Comparison fields: 5 of 68
- Aging 27
- Cellular and Molecular Neuroscience 237
- Cell Biology 147
- Molecular Biology 356
- Oncology 114
Countries citing papers authored by Daniela Pistillo
This map shows the geographic impact of Daniela Pistillo'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 Pistillo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Pistillo more than expected).
Fields of papers citing papers by Daniela Pistillo
This network shows the impact of papers produced by Daniela Pistillo. 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 Pistillo. The network helps show where Daniela Pistillo may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Pistillo, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 137 | |
| 2 | 2016 | 116 | |
| 3 | 2002 | 73 | |
| 4 | 2013 | 72 | |
| 5 | 2002 | 47 | |
| 6 | 2002 | 40 | |
| 7 | 1998 | 35 | |
| 8 | 2004 | 34 | |
| 9 | 2007 | 30 | |
| 10 | 2002 | 27 | |
| 11 | 2017 | 19 | |
| 12 | 2022 | 12 | |
| 13 | 2019 | 10 | |
| 14 | 2005 | 7 | |
| 15 | 2023 | 7 | |
| 16 | 2011 | 4 | |
| 17 | 2023 | 3 | |
| 18 | 2025 | 2 | |
| 19 | 2016 | 1 | |
| 20 | 2025 | 1 |
About Daniela Pistillo
Daniela Pistillo is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Oncology and Immunology, having authored 21 papers that have together received 677 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (6 papers), Developmental Biology and Gene Regulation (6 papers), Cancer Immunotherapy and Biomarkers (4 papers), Hippo pathway signaling and YAP/TAZ (3 papers), Immune cells in cancer (3 papers), Cancer Cells and Metastasis (2 papers), Animal Behavior and Reproduction (2 papers) and Cellular Mechanics and Interactions (2 papers). The work is most often cited by research in Aging (27 citations), Cellular and Molecular Neuroscience (237 citations), Cell Biology (147 citations), Molecular Biology (356 citations) and Oncology (114 citations). Daniela Pistillo has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Patricia Simpson, Claude Desplan, Nick Skaer, Kazuya Usui, Tamara Mikeladze‐Dvali, Mathias F. Wernet, Stephen M. Cohen, Esteban O. Mazzoni, Ya‐Wen Chen and Aurelio A. Teleman. Their work appears in journals such as Current topics in developmental biology, Gene, Journal of Thoracic Oncology, Current Biology and Frontiers in Immunology.
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.