Eva Barragán
- Hematology top 1%
- Acute Myeloid Leukemia Research 59
- Chronic Myeloid Leukemia Treatments 16
- Genetics top 5%
- Myeloproliferative Neoplasms: Diagnosis and Treatment 12
- BRCA gene mutations in cancer 8
- Genomic variations and chromosomal abnormalities 6
- Cancer Research top 10%
- Cancer Genomics and Diagnostics 9
- Molecular Biology top 10%
- Retinoids in leukemia and cellular processes 23
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- Acute Lymphoblastic Leukemia research 24
- Co-authors
- Miguel Á. SanzPascual BoluferJosé CerveraGuillermo Martı́nEsperanza SuchMariam IbáñezPascual FernándezFederico Moscardó
- Cited by
- HematologyGeneticsCancer Research
- Partner nations
- SpainUnited KingdomItaly
In The Last Decade
Eva Barragán
88 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 81
- Hematology 936
- Genetics 283
- Cancer Research 251
- Molecular Biology 1.1k
- Public Health, Environmental and Occupational Health 395
Countries citing papers authored by Eva Barragán
This map shows the geographic impact of Eva Barragán'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 Eva Barragán with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Barragán more than expected).
Fields of papers citing papers by Eva Barragán
This network shows the impact of papers produced by Eva Barragán. 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 Eva Barragán. The network helps show where Eva Barragán may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eva Barragán, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2022 | 9 | |
| 4 | 2020 | 7 | |
| 5 | 2020 | 25 | |
| 6 | 2020 | 21 | |
| 7 | 2019 | 10 | |
| 8 | 2018 | 5 | |
| 9 | 2017 | 8 | |
| 10 | 2013 | 7 | |
| 11 | 2012 | 8 | |
| 12 | 2012 | 6 | |
| 13 | 2010 | 1 | |
| 14 | 2009 | 20 | |
| 15 | 2007 | 5 | |
| 16 | 2006 | 76 | |
| 17 | Rapid quantitative detection of TEL-AML1 fusion transcripts in pediatric acute lymphoblastic leukemia by real-time reverse transcription polymerase chain reaction using fluorescently labeled probes. | 2002 | 8 |
| 18 | 1999 | 28 | |
| 19 | 1999 | 5 | |
| 20 | 1998 | 2 |
About Eva Barragán
Eva Barragán is a scholar working on Hematology, Genetics and Public Health, Environmental and Occupational Health, having authored 92 papers that have together received 1.7k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (59 papers), Acute Lymphoblastic Leukemia research (24 papers), Retinoids in leukemia and cellular processes (23 papers), Chronic Myeloid Leukemia Treatments (16 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (12 papers), Cancer Genomics and Diagnostics (9 papers), BRCA gene mutations in cancer (8 papers) and Genomic variations and chromosomal abnormalities (6 papers). The work is most often cited by research in Hematology (936 citations), Genetics (283 citations) and Cancer Research (251 citations). Eva Barragán has collaborated with scholars based in Spain, United Kingdom and Italy. Frequent co-authors include Miguel Á. Sanz, Pascual Bolufer, José Cervera, Guillermo Martı́n, Esperanza Such, Mariam Ibáñez, Pascual Fernández, Federico Moscardó, Guillermo Sanz and Ana Valencia. Their work appears in journals such as Leukemia Research, Cancers, Annals of Hematology, Clinica Chimica Acta 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.