Anna Di Benedetto
- Cancer Research top 5%
- Breast Cancer Treatment Studies 4
- Cell Biology top 5%
- Hippo pathway signaling and YAP/TAZ 7
- Oncology top 5%
- HER2/EGFR in Cancer Research 9
- Cancer-related Molecular Pathways 6
- Molecular Biology top 10%
- Wnt/β-catenin signaling in development and cancer 5
- DNA Repair Mechanisms 3
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- BRCA gene mutations in cancer 3
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- Male Breast Health Studies 5
- Co-authors
- Marcella MottoleseFrancesca SperatiRuggero De MariaMarcello Maugeri‐SaccàLetizia PerracchioIsabella SperdutiMonica BartucciCristiana Ercolani
- Cited by
- Cancer ResearchCell BiologyOncology
- Journals
- Oncogene (5 papers)Journal of Experimental & Clinical Cancer Research (4 papers)Oncotarget (3 papers)
- Partner nations
- ItalyMalaysiaUnited States
In The Last Decade
Anna Di Benedetto
41 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 93
- Cancer Research 378
- Cell Biology 364
- Oncology 460
- Molecular Biology 740
- Genetics 157
Countries citing papers authored by Anna Di Benedetto
This map shows the geographic impact of Anna Di Benedetto'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 Anna Di Benedetto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Di Benedetto more than expected).
Fields of papers citing papers by Anna Di Benedetto
This network shows the impact of papers produced by Anna Di Benedetto. 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 Anna Di Benedetto. The network helps show where Anna Di Benedetto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anna Di Benedetto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 2 | |
| 2 | 2020 | 25 | |
| 3 | 2018 | 29 | |
| 4 | 2018 | 15 | |
| 5 | 2017 | 2 | |
| 6 | 2017 | 15 | |
| 7 | 2017 | 7 | |
| 8 | 2017 | 15 | |
| 9 | 2016 | 1 | |
| 10 | 2016 | 5 | |
| 11 | 2016 | 24 | |
| 12 | 2015 | 49 | |
| 13 | 2014 | 19 | |
| 14 | 2013 | 31 | |
| 15 | 2012 | 35 | |
| 16 | 2011 | 72 | |
| 17 | 2010 | 13 | |
| 18 | 2008 | 86 | |
| 19 | 2007 | 4 | |
| 20 | 2006 | 74 |
About Anna Di Benedetto
Anna Di Benedetto is a scholar working on Oncology, Cancer Research and Cell Biology, having authored 41 papers that have together received 1.3k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (9 papers), Hippo pathway signaling and YAP/TAZ (7 papers), Cancer-related Molecular Pathways (6 papers), Male Breast Health Studies (5 papers), Wnt/β-catenin signaling in development and cancer (5 papers), Breast Cancer Treatment Studies (4 papers), DNA Repair Mechanisms (3 papers) and BRCA gene mutations in cancer (3 papers). The work is most often cited by research in Cancer Research (378 citations), Cell Biology (364 citations) and Oncology (460 citations). Anna Di Benedetto has collaborated with scholars based in Italy, Malaysia and United States. Frequent co-authors include Marcella Mottolese, Francesca Sperati, Ruggero De Maria, Marcello Maugeri‐Saccà, Letizia Perracchio, Isabella Sperduti, Monica Bartucci, Cristiana Ercolani, Rosanna Dattilo and Alfredo Pagliuca. Their work appears in journals such as Oncogene, Journal of Experimental & Clinical Cancer Research, Oncotarget, Clinical Cancer Research and Scientific Reports.
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.