Ramón Goñi
Impact in
- Molecular Biology top 10%
- DNA and Nucleic Acid Chemistry
- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- Advanced biosensing and bioanalysis techniques
- RNA Interference and Gene Delivery
- Genomics and Chromatin Dynamics
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- Computational Drug Discovery Methods
Papers in
-
- Protein Structure and Dynamics 3
- DNA and Nucleic Acid Chemistry 2
- RNA and protein synthesis mechanisms 2
- Gene expression and cancer classification 1
- Bioinformatics and Genomic Networks 1
- Co-authors
- Modesto Orozco (5 shared papers)Josep Lluis Gelpí (4 shared papers)Adam Hospital (1 shared paper)Pau Andrio (3 shared papers)Pablo D. Dans (2 shared papers)Federica Battistini (2 shared papers)Charles A. Laughton (4 shared papers)Agnes Noy (1 shared paper)
- Journals
- BioTechniques (1 paper)SoftwareX (1 paper)Nucleic Acids Research (1 paper)Nature Methods (1 paper)PubMed (1 paper)
- Partner nations
- SpainUnited KingdomUnited States
In The Last Decade
Ramón Goñi
9 papers receiving 1.7k citations
Ramón Goñi's Hit Papers
Peers
Comparison fields: 5 of 139
- Molecular Biology 1.2k
- Computational Theory and Mathematics 154
- Toxicology 19
- Spectroscopy 84
- Structural Biology 7
Countries citing papers authored by Ramón Goñi
This map shows the geographic impact of Ramón Goñi'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 Ramón Goñi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramón Goñi more than expected).
Fields of papers citing papers by Ramón Goñi
This network shows the impact of papers produced by Ramón Goñi. 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 Ramón Goñi. The network helps show where Ramón Goñi may publish in the future.
Co-authors
The 25 scholars most cited alongside Ramón Goñi, 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 | Parmbsc1: a refined force field for DNA simulations Hit paper breakdown → | 2015 | 863 |
| 2 | Molecular dynamics simulations: advances and applications Hit paper breakdown → | 2015 | 647 |
| 3 | 2015 | 64 | |
| 4 | The qPCR data statistical analysis | 2009 | 60 |
| 5 | 2016 | 36 | |
| 6 | 2013 | 2 | |
| 7 | 2009 | 2 | |
| 8 | ExTASY: A python-based Extensible Toolkit for Advanced Sampling and Analysis in Biomolecular Simulation | 2015 | 2 |
| 9 | Putting ExTASY in charge of an arduous computational challenge | 2014 | 1 |
About Ramón Goñi
Ramón Goñi is a scholar working on Molecular Biology, Health Information Management, Ecology, Atomic and Molecular Physics, and Optics and Artificial Intelligence, having authored 9 papers that have together received 1.7k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (3 papers), DNA and Nucleic Acid Chemistry (2 papers), RNA and protein synthesis mechanisms (2 papers), Gene expression and cancer classification (1 paper), Enzyme Structure and Function (1 paper), Plant nutrient uptake and metabolism (1 paper), Spectroscopy and Quantum Chemical Studies (1 paper) and Bioinformatics and Genomic Networks (1 paper). The work is most often cited by research in Molecular Biology (1.2k citations), Computational Theory and Mathematics (154 citations), Toxicology (19 citations), Spectroscopy (84 citations) and Structural Biology (7 citations). Ramón Goñi has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Modesto Orozco, Josep Lluis Gelpí, Adam Hospital, Pau Andrio, Pablo D. Dans, Federica Battistini, Charles A. Laughton, Agnes Noy, Michele Vendruscolo and Guillem Portella. Their work appears in journals such as BioTechniques, SoftwareX, Nucleic Acids Research, Nature Methods and PubMed.
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.