Ilaria Dando

5.2k citations
50 papers · 2.0k · h-index 24

Impact in

    • Cancer, Hypoxia, and Metabolism
  • Oncology top 5%
    • Pancreatic and Hepatic Oncology Research
    • Cancer Cells and Metastasis

Papers in

Ilaria Dando

47 papers receiving 2.0k citations

Peers

Ilaria Dando
Comparison fields: 5 of 106
  • Cancer Research 652
  • Oncology 486
  • Molecular Biology 1.1k
  • Geriatrics and Gerontology 53
  • Pharmacology 204
Replace Elisa Dalla Pozza with:
Elisa Dalla Pozza Italy
Maria Luisa Panno Italy
Loredana Mauro Italy
Ju-Jun Xie China
Frank Weinberg United States
Xiong Chen China
Haiquan Qiao China
Ernestina Marianna De Francesco Italy
Ilaria Dando relative to Elisa Dalla Pozza Italy Elisa Dalla Pozza's profile →
Citations per field
00.5×1.5×
Elisa Dalla Pozza · 1×
Citations per year

Countries citing papers authored by Ilaria Dando

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ilaria Dando Line = papers co-authored together Ilaria Dando links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011187
2 2019151
3 2013133
4 2013131
5 2013125
6 2016119
7 201286
8 201686
9 201273
10 201364
11 201661
12 201655
13 201253
14 201753
15 201852
16 201648
17 201548
18 201445
19 201444
20 201537

About Ilaria Dando

Ilaria Dando is a scholar working on Molecular Biology, Cancer Research, Oncology, Surgery and Epidemiology, having authored 50 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (14 papers), Cancer Cells and Metastasis (9 papers), Autophagy in Disease and Therapy (9 papers), Pancreatic and Hepatic Oncology Research (8 papers), Mitochondrial Function and Pathology (7 papers), Epigenetics and DNA Methylation (6 papers), Pancreatic function and diabetes (5 papers) and Adipose Tissue and Metabolism (5 papers). The work is most often cited by research in Cancer Research (652 citations), Oncology (486 citations), Molecular Biology (1.1k citations), Geriatrics and Gerontology (53 citations) and Pharmacology (204 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, Scientific Reports, Free Radical Biology and Medicine, Cells and IUBMB Life.

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.

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