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
- Cancer-related gene regulation 5
- Ubiquitin and proteasome pathways 4
- Oncology 15
- Cancer-related Molecular Pathways 13
- Co-authors
- Lawrence Banks (18 shared papers)Miranda Thomas (4 shared papers)Alan Storey (3 shared papers)Ann Kalita (3 shared papers)Catherine Harwood (3 shared papers)Greg Matlashewski (3 shared papers)Judith Breuer (3 shared papers)Fiamma Mantovani (2 shared papers)
- Journals
- Oncogene (4 papers)FEBS Journal (3 papers)Biological Chemistry (3 papers)Journal of General Virology (3 papers)Zoonoses and Public Health (2 papers)
- Partner nations
- ArgentinaItalyUnited States
In The Last Decade
Daniela Gardiol
39 papers receiving 1.9k citations
Daniela Gardiol's Hit Papers
Peers
Comparison fields: 5 of 93
- Oncology 853
- Cell Biology 391
- Epidemiology 701
- Cancer Research 229
- Molecular Biology 1.0k
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 39 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 | 797 |
| 2 | 1999 | 251 | |
| 3 | 2006 | 124 | |
| 4 | 2000 | 85 | |
| 5 | 2004 | 74 | |
| 6 | 2008 | 63 | |
| 7 | 2000 | 58 | |
| 8 | 1994 | 48 | |
| 9 | 1990 | 42 | |
| 10 | 1995 | 39 | |
| 11 | 2014 | 36 | |
| 12 | 2002 | 33 | |
| 13 | 2012 | 32 | |
| 14 | 2018 | 24 | |
| 15 | 2008 | 22 | |
| 16 | 1998 | 21 | |
| 17 | 2003 | 17 | |
| 18 | 2020 | 16 | |
| 19 | 2021 | 14 | |
| 20 | 2012 | 13 |
About Daniela Gardiol
Daniela Gardiol is a scholar working on Molecular Biology, Oncology, Cell Biology, Epidemiology and Genetics, having authored 39 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (13 papers), Hippo pathway signaling and YAP/TAZ (11 papers), Cervical Cancer and HPV Research (8 papers), Wnt/β-catenin signaling in development and cancer (7 papers), RNA and protein synthesis mechanisms (5 papers), Cancer-related gene regulation (5 papers), Ubiquitin and proteasome pathways (4 papers) and Bacterial Genetics and Biotechnology (3 papers). The work is most often cited by research in Oncology (853 citations), Cell Biology (391 citations), Epidemiology (701 citations), Cancer Research (229 citations) and Molecular Biology (1.0k citations). Daniela Gardiol has collaborated with scholars based in Argentina, Italy and United States. Frequent co-authors include Lawrence Banks, Miranda Thomas, Alan Storey, Ann Kalita, Catherine Harwood, Greg Matlashewski, Judith Breuer, Fiamma Mantovani, I.M. Leigh and Christian Kühne. Their work appears in journals such as Oncogene, FEBS Journal, Biological Chemistry, Journal of General Virology and Zoonoses and Public Health.
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.