Iván Dotú
- Molecular Biology top 10%
- RNA and protein synthesis mechanisms 17
- RNA modifications and cancer 16
- RNA Research and Splicing 16
- Protein Structure and Dynamics 3
- Genomics and Phylogenetic Studies 3
- RNA regulation and disease 2
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- Metaheuristic Optimization Algorithms Research 5
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- Constraint Satisfaction and Optimization 4
- Co-authors
- Peter CloteJeffrey H. ChuangSusan L. AckermanGábor NagyRyuta IshimuraPascal Van HentenryckYasuharu NishimuraPaul Schimmel
- Cited by
- Molecular BiologyAgingCell Biology
- Journals
- Nucleic Acids Research (5 papers)PLoS ONE (3 papers)Journal of Mathematical Biology (2 papers)
- Partner nations
- United StatesSpainFrance
In The Last Decade
Iván Dotú
32 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 91
- Molecular Biology 878
- Aging 10
- Cell Biology 75
- Cancer Research 65
- Genetics 30
Countries citing papers authored by Iván Dotú
This map shows the geographic impact of Iván Dotú'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 Iván Dotú with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iván Dotú more than expected).
Fields of papers citing papers by Iván Dotú
This network shows the impact of papers produced by Iván Dotú. 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 Iván Dotú. The network helps show where Iván Dotú may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Iván Dotú, 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 | 2021 | 18 | |
| 2 | 2018 | 4 | |
| 3 | 2017 | 10 | |
| 4 | 2016 | 161 | |
| 5 | 2016 | 9 | |
| 6 | 2016 | 35 | |
| 7 | 2016 | 8 | |
| 8 | 2015 | 18 | |
| 9 | 2014 | 328 | |
| 10 | 2014 | 3 | |
| 11 | 2013 | 15 | |
| 12 | 2013 | 18 | |
| 13 | 2012 | 74 | |
| 14 | 2012 | 13 | |
| 15 | 2011 | 41 | |
| 16 | 2009 | 4 | |
| 17 | Protein structure prediction on the face centered cubic lattice by local search | 2008 | 23 |
| 18 | Scheduling social tournaments locally | 2007 | 1 |
| 19 | 2005 | 15 | |
| 20 | Modeling choices in quasigroup completion: SAT vs. CSP | 2004 | 16 |
About Iván Dotú
Iván Dotú is a scholar working on Molecular Biology, Artificial Intelligence, Computer Networks and Communications, Biophysics and Management Science and Operations Research, having authored 33 papers that have together received 1.0k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (17 papers), RNA modifications and cancer (16 papers), RNA Research and Splicing (16 papers), Metaheuristic Optimization Algorithms Research (5 papers), Constraint Satisfaction and Optimization (4 papers), Protein Structure and Dynamics (3 papers), Genomics and Phylogenetic Studies (3 papers) and RNA regulation and disease (2 papers). The work is most often cited by research in Molecular Biology (878 citations), Aging (10 citations), Cell Biology (75 citations), Cancer Research (65 citations) and Genetics (30 citations). Iván Dotú has collaborated with scholars based in United States, Spain and France. Frequent co-authors include Peter Clote, Jeffrey H. Chuang, Susan L. Ackerman, Gábor Nagy, Ryuta Ishimura, Pascal Van Hentenryck, Yasuharu Nishimura, Paul Schimmel, Xiang‐Lei Yang and Satoru Senju. Their work appears in journals such as Nucleic Acids Research, PLoS ONE, Journal of Mathematical Biology, PLoS Computational Biology and eLife.
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.