Francisco Martı́n
- Molecular Biology top 5%
- Genetics top 2%
- Oncology top 5%
- Immunology top 5%
- Genetics top 2%
- Co-authors
- Karim BenabdellahPer AndersonMary CollinsMarién CoboFrançois–Loïc CossetMiguel G. ToscanoYasuhiro IkedaStuart J. D. Neil
- Topics
- Virus-based gene therapy research (37 papers)RNA Interference and Gene Delivery (29 papers)CRISPR and Genetic Engineering (21 papers)
- Cited by
- GeneticsVirologyImmunology
- Journals
- NatureNucleic Acids ResearchSHILAP Revista de lepidopterología
- Partner nations
- SpainFranceUnited Kingdom
In The Last Decade
Francisco Martı́n
113 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 123
- Molecular Biology 1.7k
- Genetics 713
- Oncology 554
- Immunology 551
- Genetics 382
Countries citing papers authored by Francisco Martı́n
This map shows the geographic impact of Francisco Martı́n'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 Francisco Martı́n with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francisco Martı́n more than expected).
Fields of papers citing papers by Francisco Martı́n
This network shows the impact of papers produced by Francisco Martı́n. 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 Francisco Martı́n. The network helps show where Francisco Martı́n may publish in the future.
Co-authorship network of co-authors of Francisco Martı́n
This figure shows the co-authorship network connecting the top 25 collaborators of Francisco Martı́n. A scholar is included among the top collaborators of Francisco Martı́n 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 Francisco Martı́n. Francisco Martı́n is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 9 | |
| 5 | 5 | |
| 6 | 29 | |
| 7 | 4 | |
| 8 | 69 | |
| 9 | 1 | |
| 10 | 78 | |
| 11 | 12 | |
| 12 | 33 | |
| 13 | 2 | |
| 14 | 4 | |
| 15 | 61 | |
| 16 | 22 | |
| 17 | 3 | |
| 18 | 110 | |
| 19 | Lentiviral vectors transcriptionally targeted to hematopoietic cells by WAS gene proximal promoter sequences restore Wiskott-Aldrich Syndrome defects | 1 |
| 20 | Histoplasmosis Sistémica: Presentación de dos casos y revisión de la literatura nacional | 1 |
About Francisco Martı́n
Francisco Martı́n is a scholar working on Virology, Genetics and Genetics, having authored 119 papers that have together received 3.0k indexed citations. Recurring topics across this work include Virus-based gene therapy research (37 papers), RNA Interference and Gene Delivery (29 papers) and CRISPR and Genetic Engineering (21 papers). The work is most often cited by research in Genetics (382 citations), Virology (152 citations) and Immunology (551 citations). Francisco Martı́n has collaborated with scholars based in Spain, France and United Kingdom. Frequent co-authors include Karim Benabdellah, Per Anderson, Mary Collins, Marién Cobo, François–Loïc Cosset, Miguel G. Toscano, Yasuhiro Ikeda, Stuart J. D. Neil, Pilar Muñoz and Virgínea Farias. Their work appears in journals such as Nature, Nucleic Acids Research and SHILAP Revista de lepidopterología.
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.