Nerea Zabaleta
- Genetics top 10%
- Virus-based gene therapy research 14
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- CRISPR and Genetic Engineering 11
- RNA Interference and Gene Delivery 5
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- Viral Infections and Immunology Research 3
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- Viral gastroenteritis research and epidemiology 4
- SARS-CoV-2 and COVID-19 Research 2
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- Animal Virus Infections Studies 4
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- Organ Donation and Transplantation 2
- Co-authors
- Gloria González‐AseguinolazaNicholas D. WeberRafael AldabeLuk H. VandenbergheValérie FerreiraHarald PetryCarmen UnzuEric Zinn
- Journals
- Molecular Therapy (3 papers)Molecular Therapy — Methods & Clinical Development (3 papers)Human Gene Therapy (1 paper)
- Partner nations
- SpainUnited StatesGermany
In The Last Decade
Nerea Zabaleta
23 papers receiving 623 citations
Hit Papers
Peers
Comparison fields: 5 of 68
- Genetics 318
- Business and International Management 17
- Molecular Biology 451
- Cardiology and Cardiovascular Medicine 124
- Infectious Diseases 77
Countries citing papers authored by Nerea Zabaleta
This map shows the geographic impact of Nerea Zabaleta'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 Nerea Zabaleta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nerea Zabaleta more than expected).
Fields of papers citing papers by Nerea Zabaleta
This network shows the impact of papers produced by Nerea Zabaleta. 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 Nerea Zabaleta. The network helps show where Nerea Zabaleta may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nerea Zabaleta, 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 | 2024 | 2 | |
| 2 | 2024 | 16 | |
| 3 | 2023 | 39 | |
| 4 | Efficient in vivo genome editing prevents hypertrophic cardiomyopathy in micebreakdown → | 2023 | 106 |
| 5 | 2023 | 6 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 3 | |
| 8 | 2022 | 16 | |
| 9 | 2022 | 4 | |
| 10 | 2022 | 24 | |
| 11 | 2021 | 99 | |
| 12 | 2021 | 1 | |
| 13 | 2020 | 9 | |
| 14 | 2019 | 43 | |
| 15 | 2019 | 27 | |
| 16 | 2019 | 90 | |
| 17 | 2018 | 63 | |
| 18 | 2017 | 8 | |
| 19 | 2017 | 54 | |
| 20 | 2016 | 1 |
About Nerea Zabaleta
Nerea Zabaleta is a scholar working on Genetics, Animal Science and Zoology, Infectious Diseases, Molecular Biology and Modeling and Simulation, having authored 23 papers that have together received 635 indexed citations. Recurring topics across this work include Virus-based gene therapy research (14 papers), CRISPR and Genetic Engineering (11 papers), RNA Interference and Gene Delivery (5 papers), Viral gastroenteritis research and epidemiology (4 papers), Animal Virus Infections Studies (4 papers), Viral Infections and Immunology Research (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Organ Donation and Transplantation (2 papers). The work is most often cited by research in Genetics (318 citations), Business and International Management (17 citations), Molecular Biology (451 citations), Cardiology and Cardiovascular Medicine (124 citations) and Infectious Diseases (77 citations). Nerea Zabaleta has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include Gloria González‐Aseguinolaza, Nicholas D. Weber, Rafael Aldabe, Luk H. Vandenberghe, Valérie Ferreira, Harald Petry, Carmen Unzu, Eric Zinn, Jan E. Carette and James Zengel. Their work appears in journals such as Molecular Therapy, Molecular Therapy — Methods & Clinical Development, Human Gene Therapy, Nature Medicine and iScience.
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.