Paula Rı́o
Impact in
- Molecular Biology top 5%
- CRISPR and Genetic Engineering
- Pluripotent Stem Cells Research
- DNA Repair Mechanisms
- RNA Interference and Gene Delivery
- Hematology top 5%
Papers in
-
- CRISPR and Genetic Engineering 32
- DNA Repair Mechanisms 18
- RNA Interference and Gene Delivery 10
- Pluripotent Stem Cells Research 9
- Genetics 24
- Virus-based gene therapy research 21
- Co-authors
- Juan A. Bueren (37 shared papers)Helmut Hanenberg (17 shared papers)Susana Navarro (17 shared papers)Guillermo Güenechea (8 shared papers)Jordi Surrallés (9 shared papers)Ángel Raya (2 shared papers)María Castellà (2 shared papers)Juan Carlos Izpisúa Belmonte (1 shared paper)
- Journals
- Blood (14 papers)Human Gene Therapy (7 papers)Molecular Therapy (3 papers)Cell stem cell (2 papers)Gene Therapy (2 papers)
- Partner nations
- SpainUnited StatesGermany
In The Last Decade
Paula Rı́o
62 papers receiving 2.0k citations
Paula Rı́o's Hit Papers
Peers
Comparison fields: 5 of 78
- Molecular Biology 1.5k
- Hematology 231
- Genetics 532
- Oncology 449
- Immunology 320
Countries citing papers authored by Paula Rı́o
This map shows the geographic impact of Paula Rı́o'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 Paula Rı́o with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paula Rı́o more than expected).
Fields of papers citing papers by Paula Rı́o
This network shows the impact of papers produced by Paula Rı́o. 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 Paula Rı́o. The network helps show where Paula Rı́o may publish in the future.
Co-authors
The 25 scholars most cited alongside Paula Rı́o, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Disease-corrected haematopoietic progenitors from Fanconi anaemia induced pluripotent stem cells Hit paper breakdown → | 2009 | 500 |
| 2 | 2005 | 281 | |
| 3 | 2021 | 106 | |
| 4 | 2007 | 77 | |
| 5 | 2019 | 69 | |
| 6 | 2022 | 64 | |
| 7 | 2002 | 54 | |
| 8 | 2017 | 44 | |
| 9 | 2017 | 42 | |
| 10 | 2005 | 40 | |
| 11 | 2008 | 38 | |
| 12 | 2012 | 38 | |
| 13 | 2017 | 37 | |
| 14 | 2009 | 36 | |
| 15 | 2009 | 33 | |
| 16 | 2012 | 33 | |
| 17 | 2007 | 32 | |
| 18 | 2011 | 32 | |
| 19 | 2020 | 30 | |
| 20 | 2009 | 30 |
About Paula Rı́o
Paula Rı́o is a scholar working on Molecular Biology, Genetics, Oncology, Immunology and Hematology, having authored 68 papers that have together received 2.0k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (32 papers), Virus-based gene therapy research (21 papers), DNA Repair Mechanisms (18 papers), CAR-T cell therapy research (17 papers), Immune Cell Function and Interaction (11 papers), RNA Interference and Gene Delivery (10 papers), Pluripotent Stem Cells Research (9 papers) and Immunotherapy and Immune Responses (5 papers). The work is most often cited by research in Molecular Biology (1.5k citations), Hematology (231 citations), Genetics (532 citations), Oncology (449 citations) and Immunology (320 citations). Paula Rı́o has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include Juan A. Bueren, Helmut Hanenberg, Susana Navarro, Guillermo Güenechea, Jordi Surrallés, Ángel Raya, María Castellà, Juan Carlos Izpisúa Belmonte, José C. Segovia and Elena Garreta. Their work appears in journals such as Blood, Human Gene Therapy, Molecular Therapy, Cell stem cell and Gene Therapy.
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.