Daniela Pistillo
Impact in
- Aging top 10%
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- Neurobiology and Insect Physiology Research
Papers in
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- Neurobiology and Insect Physiology Research 5
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- Immune cells in cancer 2
- Biomarkers in Disease Mechanisms 2
- 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)Stephen Michael Cohen (1 shared paper)Aurelio A. Teleman (1 shared paper)Ya‐Wen Chen (1 shared paper)
- Journals
- Cancers (2 papers)Cell (1 paper)PLoS ONE (1 paper)Trends in Genetics (1 paper)Gene (1 paper)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Daniela Pistillo
21 papers receiving 663 citations
Peers
Comparison fields: 5 of 65
- Aging 24
- Cellular and Molecular Neuroscience 218
- Cell Biology 139
- Molecular Biology 335
- Endocrine and Autonomic Systems 27
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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 141 | |
| 2 | 2016 | 125 | |
| 3 | 2002 | 73 | |
| 4 | 2013 | 71 | |
| 5 | 2002 | 51 | |
| 6 | 2002 | 41 | |
| 7 | 2004 | 34 | |
| 8 | 2007 | 31 | |
| 9 | 2002 | 27 | |
| 10 | 2017 | 20 | |
| 11 | 2022 | 12 | |
| 12 | 2019 | 10 | |
| 13 | 2023 | 9 | |
| 14 | 2005 | 9 | |
| 15 | 2025 | 8 | |
| 16 | 2011 | 4 | |
| 17 | 2023 | 3 | |
| 18 | 2025 | 2 | |
| 19 | 2016 | 1 | |
| 20 | 2024 | 1 |
About Daniela Pistillo
Daniela Pistillo is a scholar working on Cellular and Molecular Neuroscience, Immunology, Cell Biology, Molecular Biology and Oncology, having authored 22 papers that have together received 674 indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (6 papers), Neurobiology and Insect Physiology Research (5 papers), Cancer Immunotherapy and Biomarkers (3 papers), Hippo pathway signaling and YAP/TAZ (3 papers), Retinal Development and Disorders (2 papers), Immune cells in cancer (2 papers), Biomarkers in Disease Mechanisms (2 papers) and Animal Behavior and Reproduction (2 papers). The work is most often cited by research in Aging (24 citations), Cellular and Molecular Neuroscience (218 citations), Cell Biology (139 citations), Molecular Biology (335 citations) and Endocrine and Autonomic Systems (27 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, Stephen Michael Cohen, Aurelio A. Teleman, Ya‐Wen Chen, Esteban Orlando Mazzoni and Mathias F. Wernet. Their work appears in journals such as Cancers, Cell, PLoS ONE, Trends in Genetics and Gene.
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.