Sergio Ruiz‐Carmona
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- Computational Drug Discovery Methods 7
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- Protein Structure and Dynamics 5
- Receptor Mechanisms and Signaling 2
- Bioinformatics and Genomic Networks 2
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- Microbial Natural Products and Biosynthesis 3
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- Cardiovascular Effects of Exercise 3
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- Sports Performance and Training 2
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- Monoclonal and Polyclonal Antibodies Research 2
- Co-authors
- Xavier BarrilPeter SchmidtkeDaniel Álvarez-GarcíaSzilveszter JuhosA. Beatriz Garmendia-DovalRoderick E. HubbardSam MorleyNicolas Foloppe
- Journals
- Journal of Computer-Aided Molecular Design (2 papers)Nature Chemistry (1 paper)PLoS Computational Biology (1 paper)
- Partner nations
- SpainAustraliaUnited Kingdom
In The Last Decade
Sergio Ruiz‐Carmona
14 papers receiving 678 citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Computational Theory and Mathematics 298
- Molecular Biology 466
- Pharmacology 55
- Toxicology 9
- Organic Chemistry 68
Countries citing papers authored by Sergio Ruiz‐Carmona
This map shows the geographic impact of Sergio Ruiz‐Carmona'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 Sergio Ruiz‐Carmona with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergio Ruiz‐Carmona more than expected).
Fields of papers citing papers by Sergio Ruiz‐Carmona
This network shows the impact of papers produced by Sergio Ruiz‐Carmona. 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 Sergio Ruiz‐Carmona. The network helps show where Sergio Ruiz‐Carmona may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sergio Ruiz‐Carmona, 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 | 2024 | 3 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 0 | |
| 4 | 2022 | 53 | |
| 5 | 2022 | 1 | |
| 6 | 2022 | 8 | |
| 7 | 2021 | 22 | |
| 8 | 2019 | 75 | |
| 9 | 2018 | 6 | |
| 10 | 2017 | 33 | |
| 11 | 2017 | 3 | |
| 12 | 2016 | 70 | |
| 13 | 2016 | 2 | |
| 14 | rDock: A Fast, Versatile and Open Source Program for Docking Ligands to Proteins and Nucleic Acidsbreakdown → | 2014 | 409 |
| 15 | 2013 | 2 |
About Sergio Ruiz‐Carmona
Sergio Ruiz‐Carmona is a scholar working on Computational Theory and Mathematics, Complementary and alternative medicine and Orthopedics and Sports Medicine, having authored 15 papers that have together received 688 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Protein Structure and Dynamics (5 papers), Microbial Natural Products and Biosynthesis (3 papers), Cardiovascular Effects of Exercise (3 papers), Receptor Mechanisms and Signaling (2 papers), Sports Performance and Training (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in Computational Theory and Mathematics (298 citations), Molecular Biology (466 citations) and Pharmacology (55 citations). Sergio Ruiz‐Carmona has collaborated with scholars based in Spain, Australia and United Kingdom. Frequent co-authors include Xavier Barril, Peter Schmidtke, Daniel Álvarez-García, Szilveszter Juhos, A. Beatriz Garmendia-Doval, Roderick E. Hubbard, Sam Morley, Nicolas Foloppe, Maciej Majewski and Loïc Lannelongue. Their work appears in journals such as Journal of Computer-Aided Molecular Design, Nature Chemistry, PLoS Computational Biology, Molecular Biology and Evolution and Diabetic Medicine.
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.