Daniela Gardiol
Impact in
- Oncology top 5%
- Cancer-related Molecular Pathways
- Cell Biology top 5%
- Hippo pathway signaling and YAP/TAZ
Papers in
-
- Wnt/β-catenin signaling in development and cancer 7
- RNA and protein synthesis mechanisms 5
- Ubiquitin and proteasome pathways 4
- Cancer-related gene regulation 4
- Oncology 13
- Cancer-related Molecular Pathways 11
- Co-authors
- Lawrence Banks (18 shared papers)Miranda Thomas (4 shared papers)Fiamma Mantovani (2 shared papers)Alan Storey (3 shared papers)Greg Matlashewski (3 shared papers)Judith Breuer (3 shared papers)Ann Kalita (3 shared papers)Catherine Harwood (3 shared papers)
In The Last Decade
Daniela Gardiol
39 papers receiving 2.0k citations
Daniela Gardiol's Hit Papers
Peers
Comparison fields: 5 of 92
- Oncology 761
- Cell Biology 398
- Epidemiology 658
- Cancer Research 195
- Molecular Biology 938
Countries citing papers authored by Daniela Gardiol
This map shows the geographic impact of Daniela Gardiol'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 Gardiol with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Gardiol more than expected).
Fields of papers citing papers by Daniela Gardiol
This network shows the impact of papers produced by Daniela Gardiol. 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 Gardiol. The network helps show where Daniela Gardiol may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Gardiol, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Role of a p53 polymorphism in the development of human papilloma-virus-associated cancer Hit paper breakdown → | 1998 | 833 |
| 2 | 1999 | 265 | |
| 3 | 2006 | 128 | |
| 4 | 2000 | 90 | |
| 5 | 2004 | 74 | |
| 6 | 2008 | 64 | |
| 7 | 2000 | 60 | |
| 8 | 1994 | 55 | |
| 9 | 1990 | 44 | |
| 10 | 1995 | 42 | |
| 11 | 2014 | 36 | |
| 12 | 2002 | 34 | |
| 13 | 2012 | 33 | |
| 14 | 2018 | 24 | |
| 15 | 2008 | 24 | |
| 16 | 1998 | 22 | |
| 17 | 2003 | 17 | |
| 18 | 2021 | 16 | |
| 19 | 2020 | 16 | |
| 20 | 2019 | 14 |
About Daniela Gardiol
Daniela Gardiol is a scholar working on Molecular Biology, Oncology, Cell Biology, Epidemiology and Genetics, having authored 42 papers that have together received 2.0k indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (12 papers), Cancer-related Molecular Pathways (11 papers), Cervical Cancer and HPV Research (7 papers), Wnt/β-catenin signaling in development and cancer (7 papers), RNA and protein synthesis mechanisms (5 papers), Ubiquitin and proteasome pathways (4 papers), Cancer-related gene regulation (4 papers) and Hepatitis Viruses Studies and Epidemiology (4 papers). The work is most often cited by research in Oncology (761 citations), Cell Biology (398 citations), Epidemiology (658 citations), Cancer Research (195 citations) and Molecular Biology (938 citations). Daniela Gardiol has collaborated with scholars based in Argentina, Italy and Canada. Frequent co-authors include Lawrence Banks, Miranda Thomas, Fiamma Mantovani, Alan Storey, Greg Matlashewski, Judith Breuer, Ann Kalita, Catherine Harwood, I.M. Leigh and Christian Kühne. Their work appears in journals such as Oncogene, Biological Chemistry, FEBS Journal, Journal of General Virology and Journal of Virology.
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.