Gabriel del Rio
- Molecular Biology top 5%
- Cell Biology top 1%
- Epidemiology top 5%
- Immunology top 10%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Dale E. BredesenRammohan V. RaoH. Michael EllerbyLisa EllerbySusana Castro‐ObregónEvan HermelRenata PasqualiniWadih Arap
- Topics
- Antimicrobial Peptides and Activities (13 papers)Machine Learning in Bioinformatics (9 papers)RNA Interference and Gene Delivery (8 papers)
- Partner nations
- MexicoUnited StatesGermany
In The Last Decade
Gabriel del Rio
43 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Molecular Biology 2.2k
- Cell Biology 1.0k
- Epidemiology 593
- Immunology 367
- Cellular and Molecular Neuroscience 303
Countries citing papers authored by Gabriel del Rio
This map shows the geographic impact of Gabriel del Rio'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 Gabriel del Rio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriel del Rio more than expected).
Fields of papers citing papers by Gabriel del Rio
This network shows the impact of papers produced by Gabriel del Rio. 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 Gabriel del Rio. The network helps show where Gabriel del Rio may publish in the future.
Co-authorship network of co-authors of Gabriel del Rio
This figure shows the co-authorship network connecting the top 25 collaborators of Gabriel del Rio. A scholar is included among the top collaborators of Gabriel del Rio 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 Gabriel del Rio. Gabriel del Rio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 12 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 27 | |
| 7 | 40 | |
| 8 | 16 | |
| 9 | 8 | |
| 10 | 69 | |
| 11 | 25 | |
| 12 | 9 | |
| 13 | 136 | |
| 14 | 27 | |
| 15 | 59 | |
| 16 | 409 | |
| 17 | Coupling Endoplasmic Reticulum Stress to the Cell Death Programbreakdown → | 509 |
| 18 | Combinatorial libraries of proteins: analysis of efficiency of mutagenesis techniques. | 8 |
| 19 | UBV photometry of the open cluster in the Cassiopeia region. I. Photoelectric observations of NGC 436 and 637. | 1 |
| 20 | Photoelectric UBV and photographic RGU photometry of the open clusters NGC 1496 and NGC 1513. | 0 |
About Gabriel del Rio
Gabriel del Rio is a scholar working on Microbiology, Instrumentation and Molecular Biology, having authored 45 papers that have together received 3.2k indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (13 papers), Machine Learning in Bioinformatics (9 papers) and RNA Interference and Gene Delivery (8 papers). The work is most often cited by research in Cell Biology (1.0k citations), Microbiology (299 citations) and Molecular Biology (2.2k citations). Gabriel del Rio has collaborated with scholars based in Mexico, United States and Germany. Frequent co-authors include Dale E. Bredesen, Rammohan V. Rao, H. Michael Ellerby, Lisa Ellerby, Susana Castro‐Obregón, Evan Hermel, Renata Pasqualini, Wadih Arap, Renate Kain and Erkki Ruoslahti. Their work appears in journals such as Journal of Biological Chemistry, Nature Medicine and The EMBO Journal.
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.