Rosa Collado
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Endocrinology top 5%
- Vibrio bacteria research studies
Papers in
- Hematology 17
- Acute Myeloid Leukemia Research 14
- Chronic Myeloid Leukemia Treatments 5
- Genetics 15
- Chronic Lymphocytic Leukemia Research 12
- Myeloproliferative Neoplasms: Diagnosis and Treatment 3
- Co-authors
- Carmen Amaro (3 shared papers)Belén Fouz (2 shared papers)Félix Carbonell (12 shared papers)José Cervera (4 shared papers)Elena G. Biosca (2 shared papers)Miguel Á. Sanz (2 shared papers)Marta Sitjà (2 shared papers)Eva Barragán (2 shared papers)
- Journals
- Blood (5 papers)Leukemia Research (3 papers)British Journal of Haematology (2 papers)PLoS ONE (2 papers)Infection and Immunity (1 paper)
- Partner nations
- SpainUnited StatesGermany
In The Last Decade
Rosa Collado
37 papers receiving 668 citations
Peers
Comparison fields: 5 of 67
- Hematology 306
- Endocrinology 105
- Genetics 175
- Immunology 185
- Microbiology 38
Countries citing papers authored by Rosa Collado
This map shows the geographic impact of Rosa Collado'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 Collado with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rosa Collado more than expected).
Fields of papers citing papers by Rosa Collado
This network shows the impact of papers produced by Rosa Collado. 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 Collado. The network helps show where Rosa Collado may publish in the future.
Co-authors
The 25 scholars most cited alongside Rosa Collado, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Prognostic implications of Wilms' tumor gene (WT1) expression in patients with de novo acute myeloid leukemia. | 2004 | 101 |
| 2 | 2000 | 61 | |
| 3 | 1997 | 58 | |
| 4 | 2013 | 50 | |
| 5 | 2011 | 37 | |
| 6 | 2012 | 34 | |
| 7 | 2018 | 33 | |
| 8 | 2007 | 27 | |
| 9 | 2011 | 26 | |
| 10 | 2006 | 23 | |
| 11 | 2016 | 22 | |
| 12 | 2004 | 21 | |
| 13 | 2012 | 20 | |
| 14 | 2015 | 19 | |
| 15 | 1999 | 19 | |
| 16 | 2009 | 17 | |
| 17 | 2017 | 17 | |
| 18 | 2014 | 16 | |
| 19 | 2016 | 16 | |
| 20 | 1999 | 9 |
About Rosa Collado
Rosa Collado is a scholar working on Hematology, Genetics, Immunology, Pathology and Forensic Medicine and Genetics, having authored 37 papers that have together received 694 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (14 papers), Chronic Lymphocytic Leukemia Research (12 papers), Lymphoma Diagnosis and Treatment (7 papers), Chronic Myeloid Leukemia Treatments (5 papers), Immunodeficiency and Autoimmune Disorders (5 papers), Vibrio bacteria research studies (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers) and Aquaculture disease management and microbiota (3 papers). The work is most often cited by research in Hematology (306 citations), Endocrinology (105 citations), Genetics (175 citations), Immunology (185 citations) and Microbiology (38 citations). Rosa Collado has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include Carmen Amaro, Belén Fouz, Félix Carbonell, José Cervera, Elena G. Biosca, Miguel Á. Sanz, Marta Sitjà, Eva Barragán, Pascual Bolufer and Antoni Prenafeta. Their work appears in journals such as Blood, Leukemia Research, British Journal of Haematology, PLoS ONE and Infection and Immunity.
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.