Laura Blanco
Impact in
- Hematology top 10%
- Multiple Myeloma Research and Treatments
- Physiology top 10%
Papers in
-
- RNA Interference and Gene Delivery 7
- Advanced biosensing and bioanalysis techniques 6
- DNA and Nucleic Acid Chemistry 3
-
- Multiple Myeloma Research and Treatments 4
- Co-authors
- Conchita Tros de Ilarduya (8 shared papers)Carmen Sanmartín (3 shared papers)Tomáš Jelı́nek (2 shared papers)Bruno Paiva (5 shared papers)Felipe Prósper (3 shared papers)Marta Lasa (3 shared papers)Jesús F. San Miguel (5 shared papers)Carmen Ortiz Mellet (3 shared papers)
- Journals
- Chemistry - A European Journal (2 papers)Blood (2 papers)Molecular Therapy (1 paper)Clinical Cancer Research (1 paper)British Journal of Haematology (1 paper)
- Partner nations
- SpainUnited KingdomUnited States
In The Last Decade
Laura Blanco
20 papers receiving 491 citations
Peers
Comparison fields: 5 of 66
- Hematology 110
- Physiology 32
- Oncology 124
- Genetics 48
- Immunology 90
Countries citing papers authored by Laura Blanco
This map shows the geographic impact of Laura Blanco'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 Laura Blanco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Blanco more than expected).
Fields of papers citing papers by Laura Blanco
This network shows the impact of papers produced by Laura Blanco. 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 Laura Blanco. The network helps show where Laura Blanco may publish in the future.
Co-authors
The 25 scholars most cited alongside Laura Blanco, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 148 | |
| 2 | 2011 | 50 | |
| 3 | 2015 | 39 | |
| 4 | 2013 | 29 | |
| 5 | 2014 | 26 | |
| 6 | 2018 | 23 | |
| 7 | 2018 | 22 | |
| 8 | 2013 | 22 | |
| 9 | 2017 | 21 | |
| 10 | 2016 | 21 | |
| 11 | 2018 | 17 | |
| 12 | 2018 | 17 | |
| 13 | 2018 | 16 | |
| 14 | 2015 | 12 | |
| 15 | 2015 | 10 | |
| 16 | Testicular Germ Cell Tumors: A Cytogenomic Update. | 2018 | 7 |
| 17 | 2024 | 5 | |
| 18 | 2024 | 5 | |
| 19 | 2023 | 4 | |
| 20 | 2015 | 2 |
About Laura Blanco
Laura Blanco is a scholar working on Molecular Biology, Hematology, Immunology, Organic Chemistry and Oncology, having authored 21 papers that have together received 496 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (7 papers), Advanced biosensing and bioanalysis techniques (6 papers), Multiple Myeloma Research and Treatments (4 papers), DNA and Nucleic Acid Chemistry (3 papers), Toxin Mechanisms and Immunotoxins (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Virus-based gene therapy research (2 papers) and Research on Leishmaniasis Studies (2 papers). The work is most often cited by research in Hematology (110 citations), Physiology (32 citations), Oncology (124 citations), Genetics (48 citations) and Immunology (90 citations). Laura Blanco has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Conchita Tros de Ilarduya, Carmen Sanmartín, Tomáš Jelı́nek, Bruno Paiva, Felipe Prósper, Marta Lasa, Jesús F. San Miguel, Carmen Ortiz Mellet, José M. Garcı́a Fernández and Paula Rodríguez‐Otero. Their work appears in journals such as Chemistry - A European Journal, Blood, Molecular Therapy, Clinical Cancer Research 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.