Raúl Alba

755 citations
15 papers · 572 · h-index 11

Impact in

  • Genetics top 5%
    • Virus-based gene therapy research
    • CAR-T cell therapy research

Papers in

    • Virus-based gene therapy research 13
    • Viral Infectious Diseases and Gene Expression in Insects 7
    • RNA Interference and Gene Delivery 4
    • CRISPR and Genetic Engineering 2

Raúl Alba

15 papers receiving 566 citations

Peers

Raúl Alba
Comparison fields: 5 of 50
  • Genetics 453
  • Oncology 181
  • Infectious Diseases 117
  • Molecular Biology 379
  • Biotechnology 29
Replace Campbell G. Nicol with:
Campbell G. Nicol United Kingdom
Huguette Schultz France
Prerna Sharma United States
Melinda Van Roey United States
Miguel Carrion United States
Lilith Reeves United States
Fabienne Stoeckel France
Shohei Miyamoto Japan
Marianne G. Rots Netherlands
Jacqueline Kintz France
Raúl Alba relative to Campbell G. Nicol United Kingdom Campbell G. Nicol's profile →
Citations per field
00.5×3.9×
Campbell G. Nicol · 1×
Citations per year

Countries citing papers authored by Raúl Alba

Since Specialization
Citations

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

Fields of papers citing papers by Raúl Alba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raúl Alba. 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 Raúl Alba. The network helps show where Raúl Alba may publish in the future.

Co-authors

The 25 scholars most cited alongside Raúl Alba, 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 Raúl Alba Line = papers co-authored together Raúl Alba links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2009146
2 201093
3 201091
4 201251
5 201542
6 200834
7 201232
8 200728
9 201313
10 201213
11 201211
12 20118
13 20168
14 20131
15 20201

About Raúl Alba

Raúl Alba is a scholar working on Genetics, Molecular Biology, Oncology, Cardiology and Cardiovascular Medicine and Infectious Diseases, having authored 15 papers that have together received 572 indexed citations. Recurring topics across this work include Virus-based gene therapy research (13 papers), Viral Infectious Diseases and Gene Expression in Insects (7 papers), CAR-T cell therapy research (6 papers), RNA Interference and Gene Delivery (4 papers), CRISPR and Genetic Engineering (2 papers), Congenital Heart Disease Studies (1 paper), Viral gastroenteritis research and epidemiology (1 paper) and Pulmonary Hypertension Research and Treatments (1 paper). The work is most often cited by research in Genetics (453 citations), Oncology (181 citations), Infectious Diseases (117 citations), Molecular Biology (379 citations) and Biotechnology (29 citations). Raúl Alba has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Andrew H. Baker, Stuart A. Nicklin, Angela C. Bradshaw, Alan L. Parker, Lynda Coughlan, Miguel Chillón, Nico van Rooijen, John H. McVey, Simon N. Waddington and Assumpció Bosch. Their work appears in journals such as Blood, Virology, Journal of Virology, Current Gene Therapy and Human 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.

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