Carla B. Ripamonti
- Hematology top 5%
- Acute Myeloid Leukemia Research 6
- Chronic Myeloid Leukemia Treatments 5
- Genetics top 10%
- BRCA gene mutations in cancer 6
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- Mast cells and histamine 5
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- Protein Degradation and Inhibitors 4
- CRISPR and Genetic Engineering 4
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- Salivary Gland Tumors Diagnosis and Treatment 3
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- Pain Management and Opioid Use 2
- Co-authors
- Alessandro BeghiniLidia LarizzaEnrica MorraRoberto CairoliPaolo PeterlongoCristina MecucciGaia RoversiPaolo Radice
- Cited by
- HematologyGeneticsImmunology
- Partner nations
- ItalyUnited StatesMalaysia
In The Last Decade
Carla B. Ripamonti
29 papers receiving 896 citations
Peers
Comparison fields: 5 of 64
- Hematology 354
- Genetics 146
- Immunology 182
- Cancer Research 99
- Molecular Biology 452
Countries citing papers authored by Carla B. Ripamonti
This map shows the geographic impact of Carla B. Ripamonti'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 Carla B. Ripamonti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carla B. Ripamonti more than expected).
Fields of papers citing papers by Carla B. Ripamonti
This network shows the impact of papers produced by Carla B. Ripamonti. 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 Carla B. Ripamonti. The network helps show where Carla B. Ripamonti may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Carla B. Ripamonti, 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 | 2021 | 1 | |
| 2 | 2017 | 52 | |
| 3 | 2017 | 5 | |
| 4 | 2016 | 2 | |
| 5 | 2016 | 18 | |
| 6 | 2014 | 20 | |
| 7 | 2013 | 32 | |
| 8 | 2010 | 10 | |
| 9 | 2009 | 6 | |
| 10 | 2009 | 17 | |
| 11 | 2008 | 13 | |
| 12 | 2008 | 34 | |
| 13 | 2007 | 3 | |
| 14 | 2004 | 9 | |
| 15 | KIT activating mutations: incidence in adult and pediatric acute myeloid leukemia, and identification of an internal tandem duplication. | 2004 | 125 |
| 16 | 2002 | 18 | |
| 17 | 2002 | 56 | |
| 18 | 2000 | 240 | |
| 19 | 2000 | 135 | |
| 20 | 2000 | 33 |
About Carla B. Ripamonti
Carla B. Ripamonti is a scholar working on Hematology, Anesthesiology and Pain Medicine, Genetics, Genetics and Reproductive Medicine, having authored 29 papers that have together received 907 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (6 papers), BRCA gene mutations in cancer (6 papers), Chronic Myeloid Leukemia Treatments (5 papers), Mast cells and histamine (5 papers), Protein Degradation and Inhibitors (4 papers), CRISPR and Genetic Engineering (4 papers), Salivary Gland Tumors Diagnosis and Treatment (3 papers) and Pain Management and Opioid Use (2 papers). The work is most often cited by research in Hematology (354 citations), Genetics (146 citations), Immunology (182 citations), Cancer Research (99 citations) and Molecular Biology (452 citations). Carla B. Ripamonti has collaborated with scholars based in Italy, United States and Malaysia. Frequent co-authors include Alessandro Beghini, Lidia Larizza, Enrica Morra, Roberto Cairoli, Paolo Peterlongo, Cristina Mecucci, Gaia Roversi, Paolo Radice, Siranoush Manoukian and Mara Colombo. Their work appears in journals such as Blood, European Journal of Cancer, Annals of Oncology, PLoS ONE and Journal of Palliative Care.
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.