Chiara Ronchini
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
- Oncology top 10%
- Cancer Cells and Metastasis
- Cancer-related Molecular Pathways
Papers in ⓘ
- Aging 1
-
- Acute Myeloid Leukemia Research 6
- Co-authors
- Anthony J. Capobianco (4 shared papers)Pier Giuseppe Pelicci (10 shared papers)Marie‐Clotilde Alves‐Guerra (1 shared paper)Myriam Alcalay (2 shared papers)Ivan Muradore (1 shared paper)Andrea Viale (1 shared paper)Silvia Monestiroli (1 shared paper)Valeria Cambiaghi (1 shared paper)
- Journals
- Leukemia (2 papers)International Journal of Cancer (2 papers)Molecular Cancer Therapeutics (1 paper)Seminars in Hematology (1 paper)Scientific Reports (1 paper)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Chiara Ronchini
22 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 96
- Hematology 150
- Oncology 321
- Molecular Biology 794
- Cancer Research 141
- Cell Biology 99
Countries citing papers authored by Chiara Ronchini
This map shows the geographic impact of Chiara Ronchini'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 Ronchini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chiara Ronchini more than expected).
Fields of papers citing papers by Chiara Ronchini
This network shows the impact of papers produced by Chiara Ronchini. 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 Ronchini. The network helps show where Chiara Ronchini may publish in the future.
Co-authors
The 25 scholars most cited alongside Chiara Ronchini, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 328 | |
| 2 | 2008 | 240 | |
| 3 | 2000 | 78 | |
| 4 | 2007 | 76 | |
| 5 | 2012 | 41 | |
| 6 | SEL1L expression decreases breast tumor cell aggressiveness in vivo and in vitro. | 2002 | 39 |
| 7 | 2001 | 38 | |
| 8 | 2017 | 37 | |
| 9 | 2000 | 37 | |
| 10 | 2015 | 25 | |
| 11 | 2000 | 18 | |
| 12 | 2023 | 13 | |
| 13 | 2022 | 12 | |
| 14 | 2022 | 11 | |
| 15 | 2023 | 10 | |
| 16 | 2014 | 9 | |
| 17 | 2020 | 9 | |
| 18 | 2016 | 6 | |
| 19 | 1999 | 5 | |
| 20 | 2020 | 5 |
About Chiara Ronchini
Chiara Ronchini is a scholar working on Aging, Hematology, Conservation, Oncology and Reproductive Medicine, having authored 22 papers that have together received 1.0k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (6 papers), Developmental Biology and Gene Regulation (5 papers), Epigenetics and DNA Methylation (3 papers), PARP inhibition in cancer therapy (3 papers), Cancer-related Molecular Pathways (3 papers), Protein Degradation and Inhibitors (2 papers), Hedgehog Signaling Pathway Studies (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Hematology (150 citations), Oncology (321 citations), Molecular Biology (794 citations), Cancer Research (141 citations) and Cell Biology (99 citations). Chiara Ronchini has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Anthony J. Capobianco, Pier Giuseppe Pelicci, Marie‐Clotilde Alves‐Guerra, Myriam Alcalay, Ivan Muradore, Andrea Viale, Silvia Monestiroli, Valeria Cambiaghi, Simona Ronzoni and Alberto Gobbi. Their work appears in journals such as Leukemia, International Journal of Cancer, Molecular Cancer Therapeutics, Seminars in Hematology and Scientific Reports.
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.