Irene Gil-Fariña

846 citations
24 papers · 617 indexed · 1 hit paper · h-index 10
  • Genetics top 5%
    • Virus-based gene therapy research 15
    • CRISPR and Genetic Engineering 8
    • RNA Interference and Gene Delivery 6
    • Viral Infectious Diseases and Gene Expression in Insects 2
    • CAR-T cell therapy research 7
    • Parvovirus B19 Infection Studies 2
    • Immune Cell Function and Interaction 4
    • Immunodeficiency and Autoimmune Disorders 2

Irene Gil-Fariña

24 papers receiving 605 citations

Hit Papers

Evaluating the state of the science for adeno-associated ...12820222026202320244080120

Peers

Irene Gil-Fariña
Comparison fields: 5 of 60
  • Genetics 368
  • Molecular Biology 420
  • Oncology 131
  • Hematology 50
  • Infectious Diseases 80
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
00.5×3.3×
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

The 25 scholars most cited alongside Irene Gil-Fariña, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Irene Gil-Fariña Line = papers co-authored together Irene Gil-Fariña links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20243
3 20241
4 20231
5 20233
6
Evaluating the state of the science for adeno-associated virus integration: An integrated perspectivebreakdown →
2022128
7 20228
8 20216
9 201825
10 20189
11 20176
12 201737
13 201713
14 2016134
15 201613
16 201616
17 2016111
18 20158
19 201318
20 201150

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), CAR-T cell therapy research (7 papers), RNA Interference and Gene Delivery (6 papers), Immune Cell Function and Interaction (4 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Parvovirus B19 Infection Studies (2 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.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026