Chiara Bardella
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- Genetics top 10%
- Glioma Diagnosis and Treatment
Papers in
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- Epigenetics and DNA Methylation 3
- Wnt/β-catenin signaling in development and cancer 2
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- Cancer, Hypoxia, and Metabolism 10
- Cancer Genomics and Diagnostics 2
- Co-authors
- Ian Tomlinson (9 shared papers)Patrick J. Pollard (2 shared papers)Maria Flavia Di Renzo (6 shared papers)Daniel Krell (3 shared papers)Paul Mulholland (3 shared papers)Martina Olivero (4 shared papers)Georgios Solomou (2 shared papers)Michele De Bortoli (2 shared papers)
- Journals
- The Journal of Pathology (3 papers)Clinical Cancer Research (2 papers)Nature Communications (1 paper)The FASEB Journal (1 paper)Communications Biology (1 paper)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Chiara Bardella
20 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 97
- Cancer Research 393
- Genetics 112
- Molecular Biology 610
- Hepatology 64
- Oncology 114
Countries citing papers authored by Chiara Bardella
This map shows the geographic impact of Chiara Bardella'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 Chiara Bardella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chiara Bardella more than expected).
Fields of papers citing papers by Chiara Bardella
This network shows the impact of papers produced by Chiara Bardella. 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 Chiara Bardella. The network helps show where Chiara Bardella may publish in the future.
Co-authors
The 25 scholars most cited alongside Chiara Bardella, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 316 | |
| 2 | 2012 | 117 | |
| 3 | 2004 | 82 | |
| 4 | 2011 | 80 | |
| 5 | 2020 | 58 | |
| 6 | 2021 | 52 | |
| 7 | 2013 | 48 | |
| 8 | 2022 | 42 | |
| 9 | 2017 | 39 | |
| 10 | 2009 | 36 | |
| 11 | 2006 | 31 | |
| 12 | 2023 | 29 | |
| 13 | 2012 | 29 | |
| 14 | 2007 | 24 | |
| 15 | 2018 | 24 | |
| 16 | BMP and Notch interaction in CRC subtypes | 2017 | 19 |
| 17 | 2018 | 18 | |
| 18 | 2010 | 13 | |
| 19 | 2025 | 3 | |
| 20 | 2015 | 1 |
About Chiara Bardella
Chiara Bardella is a scholar working on Molecular Biology, Cancer Research, Genetics, Pathology and Forensic Medicine and Hepatology, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (10 papers), Glioma Diagnosis and Treatment (6 papers), Liver physiology and pathology (4 papers), Epigenetics and DNA Methylation (3 papers), Genetic factors in colorectal cancer (3 papers), Cancer Genomics and Diagnostics (2 papers), Cancer Cells and Metastasis (2 papers) and Wnt/β-catenin signaling in development and cancer (2 papers). The work is most often cited by research in Cancer Research (393 citations), Genetics (112 citations), Molecular Biology (610 citations), Hepatology (64 citations) and Oncology (114 citations). Chiara Bardella has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Ian Tomlinson, Patrick J. Pollard, Maria Flavia Di Renzo, Daniel Krell, Paul Mulholland, Martina Olivero, Georgios Solomou, Michele De Bortoli, David R. Mole and Christopher W. Pugh. Their work appears in journals such as The Journal of Pathology, Clinical Cancer Research, Nature Communications, The FASEB Journal and Communications Biology.
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.