Ilaria Dando
Impact in
- Cancer Research top 2%
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
- Epidemiology top 2%
- Autophagy in Disease and Therapy
Papers in
-
- Cancer, Hypoxia, and Metabolism 12
- Oncology 13
- Cancer Cells and Metastasis 6
- Pancreatic and Hepatic Oncology Research 6
- Co-authors
- Marta Palmieri (27 shared papers)Massimo Donadelli (25 shared papers)Elisa Dalla Pozza (34 shared papers)Claudia Fiorini (5 shared papers)Marco Cordani (8 shared papers)Chiara Costanzo (7 shared papers)Maria Teresa Scupoli (9 shared papers)Aldo Scarpa (7 shared papers)
- Journals
- Cancers (4 papers)Free Radical Biology and Medicine (3 papers)Cells (3 papers)Scientific Reports (3 papers)Cell Death and Disease (2 papers)
- Partner nations
- ItalySpainUnited Kingdom
In The Last Decade
Ilaria Dando
53 papers receiving 4.3k citations
Ilaria Dando's Hit Papers
Peers
Comparison fields: 5 of 136
- Cancer Research 770
- Epidemiology 1.4k
- Physiology 195
- Geriatrics and Gerontology 115
- Molecular Biology 1.9k
Countries citing papers authored by Ilaria Dando
This map shows the geographic impact of Ilaria Dando'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 Ilaria Dando with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ilaria Dando more than expected).
Fields of papers citing papers by Ilaria Dando
This network shows the impact of papers produced by Ilaria Dando. 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 Ilaria Dando. The network helps show where Ilaria Dando may publish in the future.
Co-authors
The 25 scholars most cited alongside Ilaria Dando, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition) 1 Hit paper breakdown → | 2021 | 2038 |
| 2 | 2011 | 195 | |
| 3 | 2019 | 164 | |
| 4 | 2013 | 144 | |
| 5 | 2013 | 144 | |
| 6 | 2013 | 134 | |
| 7 | 2016 | 124 | |
| 8 | 2016 | 92 | |
| 9 | 2012 | 90 | |
| 10 | 2012 | 76 | |
| 11 | 2013 | 72 | |
| 12 | 2016 | 66 | |
| 13 | 2018 | 59 | |
| 14 | 2016 | 58 | |
| 15 | 2017 | 57 | |
| 16 | 2012 | 55 | |
| 17 | 2012 | 55 | |
| 18 | 2015 | 55 | |
| 19 | 2018 | 54 | |
| 20 | 2016 | 48 |
About Ilaria Dando
Ilaria Dando is a scholar working on Cancer Research, Oncology, Molecular Biology, Reproductive Medicine and Epidemiology, having authored 53 papers that have together received 4.3k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (12 papers), Autophagy in Disease and Therapy (11 papers), Mitochondrial Function and Pathology (6 papers), Cancer Cells and Metastasis (6 papers), Pancreatic and Hepatic Oncology Research (6 papers), Epigenetics and DNA Methylation (6 papers), Pancreatic function and diabetes (4 papers) and Sperm and Testicular Function (4 papers). The work is most often cited by research in Cancer Research (770 citations), Epidemiology (1.4k citations), Physiology (195 citations), Geriatrics and Gerontology (115 citations) and Molecular Biology (1.9k citations). Ilaria Dando has collaborated with scholars based in Italy, Spain and United Kingdom. Frequent co-authors include Marta Palmieri, Massimo Donadelli, Elisa Dalla Pozza, Claudia Fiorini, Marco Cordani, Chiara Costanzo, Maria Teresa Scupoli, Aldo Scarpa, Raffaella Pacchiana and Giulia Biondani. Their work appears in journals such as Cancers, Free Radical Biology and Medicine, Cells, Scientific Reports and Cell Death and Disease.
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.