Paola Chiarugi
- Cancer Research top 0.1%
- Cancer, Hypoxia, and Metabolism 53
- Oncology top 0.5%
- Cancer Cells and Metastasis 25
- Immunology top 0.5%
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 15
- Molecular Biology top 0.5%
- Protein Tyrosine Phosphatases 40
- Protein Kinase Regulation and GTPase Signaling 14
- Epigenetics and DNA Methylation 14
- Metabolism, Diabetes, and Cancer 13
- Immunology and Allergy top 0.5%
- Cell Adhesion Molecules Research 15
- Co-authors
- Elisa GiannoniPaolo CirriTania FiaschiMatteo ParriGiampietro RamponiGiovanni RaugeiMaria Letizia TaddeiPaolo Paoli
- Cited by
- Cancer ResearchOncologyImmunology
- Journals
- Nucleic Acids Research (1 paper)Journal of Biological Chemistry (12 papers)Journal of Clinical Investigation (1 paper)
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Paola Chiarugi
184 papers receiving 15.3k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Cancer Research 4.7k
- Oncology 4.1k
- Immunology 3.0k
- Molecular Biology 9.4k
- Immunology and Allergy 737
Countries citing papers authored by Paola Chiarugi
This map shows the geographic impact of Paola Chiarugi'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 Paola Chiarugi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paola Chiarugi more than expected).
Fields of papers citing papers by Paola Chiarugi
This network shows the impact of papers produced by Paola Chiarugi. 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 Paola Chiarugi. The network helps show where Paola Chiarugi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Paola Chiarugi, 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 | 2024 | 21 | |
| 2 | 2023 | 6 | |
| 3 | 2021 | 2 | |
| 4 | 2018 | 8 | |
| 5 | 2018 | 39 | |
| 6 | 2018 | 22 | |
| 7 | 2017 | 120 | |
| 8 | 2016 | 81 | |
| 9 | 2014 | 84 | |
| 10 | 2014 | 105 | |
| 11 | 2013 | 55 | |
| 12 | 2013 | 66 | |
| 13 | 2013 | 101 | |
| 14 | Anoikis molecular pathways and its role in cancer progressionbreakdown → | 2013 | 851 |
| 15 | Reciprocal Metabolic Reprogramming through Lactate Shuttle Coordinately Influences Tumor-Stroma Interplaybreakdown → | 2012 | 459 |
| 16 | 2010 | 481 | |
| 17 | 2009 | 112 | |
| 18 | 2009 | 67 | |
| 19 | 2007 | 182 | |
| 20 | 1997 | 85 |
About Paola Chiarugi
Paola Chiarugi is a scholar working on Cancer Research, Immunology and Allergy and Molecular Biology, having authored 186 papers that have together received 15.5k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (53 papers), Protein Tyrosine Phosphatases (40 papers), Cancer Cells and Metastasis (25 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (15 papers), Cell Adhesion Molecules Research (15 papers), Protein Kinase Regulation and GTPase Signaling (14 papers), Epigenetics and DNA Methylation (14 papers) and Metabolism, Diabetes, and Cancer (13 papers). The work is most often cited by research in Cancer Research (4.7k citations), Oncology (4.1k citations) and Immunology (3.0k citations). Paola Chiarugi has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Elisa Giannoni, Paolo Cirri, Tania Fiaschi, Matteo Parri, Giampietro Ramponi, Giovanni Raugei, Maria Letizia Taddei, Paolo Paoli, Giuseppina Comito and Andrea Morandi. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.