Daniela Gardiol
Impact in
- Epidemiology top 5%
- Cervical Cancer and HPV Research
- Otorhinolaryngology top 5%
- Head and Neck Cancer Studies
Papers in
- Epidemiology 18
- Cervical Cancer and HPV Research 18
- Oncology 9
- Cancer-related Molecular Pathways 7
- Co-authors
- Lawrence Banks (18 shared papers)Miranda Thomas (4 shared papers)Greg Matlashewski (3 shared papers)Alan Storey (3 shared papers)Ann Kalita (3 shared papers)Catherine A Harwood (3 shared papers)Fiamma Mantovani (2 shared papers)Judith Breuer (3 shared papers)
In The Last Decade
Daniela Gardiol
38 papers receiving 2k citations
Daniela Gardiol's Hit Papers
Peers
Comparison fields: 5 of 80
- Epidemiology 831
- Otorhinolaryngology 99
- Oncology 398
- Cell Biology 189
- Molecular Biology 472
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 41 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 | 843 |
| 2 | 1999 | 261 | |
| 3 | 2006 | 127 | |
| 4 | 2000 | 90 | |
| 5 | 2004 | 74 | |
| 6 | 2008 | 64 | |
| 7 | 2000 | 59 | |
| 8 | 1994 | 54 | |
| 9 | 1990 | 44 | |
| 10 | 1995 | 41 | |
| 11 | 2014 | 36 | |
| 12 | 2002 | 34 | |
| 13 | 2012 | 34 | |
| 14 | 2018 | 24 | |
| 15 | 2008 | 23 | |
| 16 | 1998 | 22 | |
| 17 | 2021 | 17 | |
| 18 | 2003 | 16 | |
| 19 | 2019 | 15 | |
| 20 | 2020 | 15 |
About Daniela Gardiol
Daniela Gardiol is a scholar working on Epidemiology, Oncology, Hepatology, Cell Biology and Molecular Biology, having authored 41 papers that have together received 2k indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (18 papers), Cancer-related Molecular Pathways (7 papers), Hepatitis Viruses Studies and Epidemiology (4 papers), RNA Research and Splicing (3 papers), Bacterial Genetics and Biotechnology (3 papers), Mosquito-borne diseases and control (2 papers), Protein Structure and Dynamics (2 papers) and Lipid metabolism and biosynthesis (2 papers). The work is most often cited by research in Epidemiology (831 citations), Otorhinolaryngology (99 citations), Oncology (398 citations), Cell Biology (189 citations) and Molecular Biology (472 citations). Daniela Gardiol has collaborated with scholars based in Argentina, Italy and Canada. Frequent co-authors include Lawrence Banks, Miranda Thomas, Greg Matlashewski, Alan Storey, Ann Kalita, Catherine A Harwood, Fiamma Mantovani, Judith Breuer, Irene M. Leigh and Britt A. Glaunsinger. Their work appears in journals such as Oncogene, FEBS Journal, Journal of General Virology, Biological Chemistry and BMC Cancer.
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.