Rosa Coll
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
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- Vascular Anomalies and Treatments
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hematology 13
- Acute Myeloid Leukemia Research 12
- Chronic Myeloid Leukemia Treatments 3
- Multiple Myeloma Research and Treatments 2
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- Epigenetics and DNA Methylation 3
- Co-authors
- Megan Greally (1 shared paper)Thomas D. Cooney (1 shared paper)Lurdes Zamora (5 shared papers)Montserrat Arnán (7 shared papers)Olga Salamero (5 shared papers)Blanca Xicoy (3 shared papers)Joan Bargay (3 shared papers)Susana Vives (6 shared papers)
- Journals
- Blood (4 papers)Blood Cancer Journal (2 papers)Blood Advances (2 papers)Clinical Epigenetics (1 paper)The Lancet Haematology (1 paper)
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
Rosa Coll
16 papers receiving 187 citations
Peers
Comparison fields: 5 of 36
- Hematology 92
- Genetics 55
- Molecular Biology 75
- Immunology 20
- Public Health, Environmental and Occupational Health 25
Countries citing papers authored by Rosa Coll
This map shows the geographic impact of Rosa Coll'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 Rosa Coll with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rosa Coll more than expected).
Fields of papers citing papers by Rosa Coll
This network shows the impact of papers produced by Rosa Coll. 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 Rosa Coll. The network helps show where Rosa Coll may publish in the future.
Co-authors
The 25 scholars most cited alongside Rosa Coll, 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 | 2013 | 27 | |
| 2 | 1977 | 27 | |
| 3 | 2021 | 24 | |
| 4 | 2021 | 20 | |
| 5 | 2020 | 13 | |
| 6 | 2015 | 13 | |
| 7 | 2024 | 11 | |
| 8 | 2017 | 11 | |
| 9 | 2023 | 10 | |
| 10 | 2022 | 8 | |
| 11 | 2021 | 6 | |
| 12 | 2024 | 6 | |
| 13 | 2009 | 4 | |
| 14 | 2021 | 3 | |
| 15 | 2018 | 3 | |
| 16 | 2014 | 1 | |
| 17 | 2021 | 0 | |
| 18 | 2021 | 0 | |
| 19 | 2022 | 0 |
About Rosa Coll
Rosa Coll is a scholar working on Hematology, Molecular Biology, Genetics, Oncology and Public Health, Environmental and Occupational Health, having authored 19 papers that have together received 187 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (12 papers), Chronic Myeloid Leukemia Treatments (3 papers), Epigenetics and DNA Methylation (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Acute Lymphoblastic Leukemia research (2 papers), Multiple Myeloma Research and Treatments (2 papers), Vascular Tumors and Angiosarcomas (2 papers) and Lung Cancer Research Studies (1 paper). The work is most often cited by research in Hematology (92 citations), Genetics (55 citations), Molecular Biology (75 citations), Immunology (20 citations) and Public Health, Environmental and Occupational Health (25 citations). Rosa Coll has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Megan Greally, Thomas D. Cooney, Lurdes Zamora, Montserrat Arnán, Olga Salamero, Blanca Xicoy, Joan Bargay, Susana Vives, David Gallardo and Ana Garrido. Their work appears in journals such as Blood, Blood Cancer Journal, Blood Advances, Clinical Epigenetics and The Lancet Haematology.
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.