Rosa Coll
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
-
- Vascular Anomalies and Treatments
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hematology 15
- Acute Myeloid Leukemia Research 14
- Chronic Myeloid Leukemia Treatments 4
- Multiple Myeloma Research and Treatments 2
- Genetics 6
- Myeloproliferative Neoplasms: Diagnosis and Treatment 5
- Co-authors
- Megan Greally (1 shared paper)Thomas D. Cooney (1 shared paper)Lurdes Zamora (6 shared papers)Joan Bargay (4 shared papers)Blanca Xicoy (3 shared papers)Ana Garrido (3 shared papers)Montserrat Arnán (8 shared papers)Olga Salamero (6 shared papers)
- Journals
- Blood (5 papers)Blood Advances (2 papers)Blood Cancer Journal (2 papers)Clinical Epigenetics (1 paper)British Journal of Haematology (1 paper)
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
Rosa Coll
17 papers receiving 181 citations
Peers
Comparison fields: 5 of 36
- Hematology 99
- Genetics 54
- Marketing 12
- Molecular Biology 82
- Immunology 24
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 | 23 | |
| 4 | 2021 | 19 | |
| 5 | 2015 | 13 | |
| 6 | 2020 | 12 | |
| 7 | 2017 | 11 | |
| 8 | 2023 | 9 | |
| 9 | 2024 | 9 | |
| 10 | 2022 | 7 | |
| 11 | 2024 | 6 | |
| 12 | 2021 | 6 | |
| 13 | 2009 | 4 | |
| 14 | 2018 | 3 | |
| 15 | 2021 | 3 | |
| 16 | 2022 | 1 | |
| 17 | 2014 | 1 | |
| 18 | 2021 | 0 | |
| 19 | 2022 | 0 | |
| 20 | 2021 | 0 |
About Rosa Coll
Rosa Coll is a scholar working on Hematology, Genetics, Molecular Biology, Oncology and Pathology and Forensic Medicine, having authored 20 papers that have together received 181 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (14 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers), Chronic Myeloid Leukemia Treatments (4 papers), Epigenetics and DNA Methylation (4 papers), Lymphoma Diagnosis and Treatment (2 papers), Vascular Tumors and Angiosarcomas (2 papers), Acute Lymphoblastic Leukemia research (2 papers) and Multiple Myeloma Research and Treatments (2 papers). The work is most often cited by research in Hematology (99 citations), Genetics (54 citations), Marketing (12 citations), Molecular Biology (82 citations) and Immunology (24 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, Joan Bargay, Blanca Xicoy, Ana Garrido, Montserrat Arnán, Olga Salamero, Mar Tormo and David Gallardo. Their work appears in journals such as Blood, Blood Advances, Blood Cancer Journal, Clinical Epigenetics and British Journal of 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.