Irene Gil-Fariña

846 citations
24 papers · 617 indexed · 1 hit paper · h-index 10
Topics
Virus-based gene therapy research (15 papers)CRISPR and Genetic Engineering (8 papers)CAR-T cell therapy research (7 papers)

In The Last Decade

Irene Gil-Fariña

24 papers receiving 605 citations

Hit Papers

Evaluating the state of the science for adeno-associated ...202220262023202420224080120

Peers

Irene Gil-Fariña
Comparison fields: 5 of 60
  • Molecular Biology 420
  • Genetics 368
  • Oncology 131
  • Infectious Diseases 80
  • Immunology 59
Replace Francesca Ferrua with:
Francesca Ferrua Italy
Nicole C. Hasbrouck United States
Samuele Ferrari Italy
Raisa Jofra Hernández Italy
Chantal Martinache France
Germán G. Gornalusse United States
Bernd Schiedlmeier Germany
Hengjun Chao United States
Sean Hofherr United States
Susan M. Faust United States
Irene Gil-Fariña relative to Francesca Ferrua Italy Francesca Ferrua's profile →
Citations per field
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Francesca Ferrua · 1×
Citations per year

Countries citing papers authored by Irene Gil-Fariña

Since Specialization
Citations

This map shows the geographic impact of Irene Gil-Fariña'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 Irene Gil-Fariña with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Irene Gil-Fariña more than expected).

Fields of papers citing papers by Irene Gil-Fariña

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Irene Gil-Fariña. 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 Irene Gil-Fariña. The network helps show where Irene Gil-Fariña may publish in the future.

Co-authorship network of co-authors of Irene Gil-Fariña

This figure shows the co-authorship network connecting the top 25 collaborators of Irene Gil-Fariña. A scholar is included among the top collaborators of Irene Gil-Fariña based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Irene Gil-Fariña. Irene Gil-Fariña is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Evaluating the state of the science for adeno-associated virus integration: An integrated perspectivebreakdown →
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About Irene Gil-Fariña

Irene Gil-Fariña is a scholar working on Genetics, Immunology and Hematology, having authored 24 papers that have together received 617 indexed citations. Recurring topics across this work include Virus-based gene therapy research (15 papers), CRISPR and Genetic Engineering (8 papers) and CAR-T cell therapy research (7 papers). The work is most often cited by research in Genetics (368 citations), Molecular Biology (420 citations) and Oncology (131 citations). Irene Gil-Fariña has collaborated with scholars based in Germany, Spain and United Kingdom. Frequent co-authors include Manfred Schmidt, Gloria González‐Aseguinolaza, Jesús Prìeto, Harald Petry, Alberto Benito, Delia D’Avola, Esperanza López‐Franco, Raffaele Fronza, Christine Kaeppel and Valérie Ferreira. Their work appears in journals such as Blood, Nature Biotechnology and The Journal of Immunology.

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.

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