Javier De Las Rivas
- Cancer Research top 2%
- MicroRNA in disease regulation 10
- Molecular Biology top 1%
- Photosynthetic Processes and Mechanisms 31
- Bioinformatics and Genomic Networks 27
- Gene expression and cancer classification 17
- Microbial Metabolic Engineering and Bioproduction 10
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research 11
- Hematology top 2%
- Biochemistry top 5%
-
- Photoreceptor and optogenetics research 11
-
- Computational Drug Discovery Methods 11
- Co-authors
- Celia FontanilloJames BarberCarlos Alberto Vanegas PrietoAlberto RisueñoJavier Abadı́aAnunciación Abadı́aAlison TelferJ. Barber
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nucleic Acids Research (2 papers)Journal of Biological Chemistry (3 papers)
- Partner nations
- SpainUnited KingdomUnited States
In The Last Decade
Javier De Las Rivas
166 papers receiving 6.3k citations
Peers
Comparison fields: 5 of 155
- Cancer Research 999
- Molecular Biology 4.4k
- Genetics 497
- Hematology 476
- Biochemistry 180
Countries citing papers authored by Javier De Las Rivas
This map shows the geographic impact of Javier De Las Rivas'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 Javier De Las Rivas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier De Las Rivas more than expected).
Fields of papers citing papers by Javier De Las Rivas
This network shows the impact of papers produced by Javier De Las Rivas. 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 Javier De Las Rivas. The network helps show where Javier De Las Rivas may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Javier De Las Rivas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 9 | |
| 5 | 2022 | 1 | |
| 6 | 2019 | 47 | |
| 7 | 2017 | 21 | |
| 8 | 2016 | 0 | |
| 9 | 2016 | 73 | |
| 10 | 2016 | 5 | |
| 11 | 2013 | 23 | |
| 12 | 2013 | 45 | |
| 13 | 2012 | 86 | |
| 14 | 2012 | 45 | |
| 15 | 2012 | 10 | |
| 16 | 2010 | 21 | |
| 17 | 2008 | 81 | |
| 18 | 2007 | 10 | |
| 19 | 2005 | 28 | |
| 20 | 2003 | 17 |
About Javier De Las Rivas
Javier De Las Rivas is a scholar working on Genetics, Molecular Biology and Cancer Research, having authored 170 papers that have together received 6.4k indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (31 papers), Bioinformatics and Genomic Networks (27 papers), Gene expression and cancer classification (17 papers), Photoreceptor and optogenetics research (11 papers), Chronic Lymphocytic Leukemia Research (11 papers), Computational Drug Discovery Methods (11 papers), Microbial Metabolic Engineering and Bioproduction (10 papers) and MicroRNA in disease regulation (10 papers). The work is most often cited by research in Cancer Research (999 citations), Molecular Biology (4.4k citations) and Genetics (497 citations). Javier De Las Rivas has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Celia Fontanillo, James Barber, Carlos Alberto Vanegas Prieto, Alberto Risueño, Javier Abadı́a, Anunciación Abadı́a, Alison Telfer, J. Barber, Diego Alonso‐López and Ana Bela Sarmento‐Ribeiro. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.