Iván Dotú
Impact in
- Molecular Biology top 10%
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- RNA Research and Splicing
- RNA regulation and disease
- Protein Structure and Dynamics
- Genomics and Phylogenetic Studies
Papers in
-
- RNA and protein synthesis mechanisms 18
- RNA Research and Splicing 15
- RNA modifications and cancer 14
- Protein Structure and Dynamics 4
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- Constraint Satisfaction and Optimization 9
- Co-authors
- Peter Clote (17 shared papers)Jeffrey H. Chuang (5 shared papers)Pascal Van Hentenryck (14 shared papers)Ryuta Ishimura (2 shared papers)Gábor Nagy (2 shared papers)Susan L. Ackerman (2 shared papers)Juan Antonio García-Martín (6 shared papers)Yasuharu Nishimura (1 shared paper)
- Journals
- Nucleic Acids Research (5 papers)PLoS ONE (3 papers)PLoS Computational Biology (2 papers)Journal of Mathematical Biology (2 papers)eLife (2 papers)
- Partner nations
- United StatesSpainFrance
In The Last Decade
Iván Dotú
41 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 92
- Molecular Biology 914
- Aging 12
- Cell Biology 78
- Cancer Research 63
- Genetics 31
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-authors
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
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 338 | |
| 2 | 2016 | 168 | |
| 3 | 2012 | 79 | |
| 4 | 2012 | 66 | |
| 5 | 2011 | 46 | |
| 6 | 2016 | 37 | |
| 7 | 2009 | 33 | |
| 8 | Protein structure prediction on the face centered cubic lattice by local search | 2008 | 27 |
| 9 | 2007 | 27 | |
| 10 | 2018 | 24 | |
| 11 | 2005 | 23 | |
| 12 | 2005 | 21 | |
| 13 | Modeling choices in quasigroup completion: SAT vs. CSP | 2004 | 20 |
| 14 | 2015 | 19 | |
| 15 | 2013 | 19 | |
| 16 | 2021 | 19 | |
| 17 | 2015 | 18 | |
| 18 | 2022 | 17 | |
| 19 | 2006 | 17 | |
| 20 | 2013 | 16 |
About Iván Dotú
Iván Dotú is a scholar working on Molecular Biology, Computer Networks and Communications, Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research, having authored 45 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (18 papers), RNA Research and Splicing (15 papers), RNA modifications and cancer (14 papers), Constraint Satisfaction and Optimization (9 papers), Metaheuristic Optimization Algorithms Research (8 papers), Scheduling and Timetabling Solutions (4 papers), Protein Structure and Dynamics (4 papers) and Evolutionary Algorithms and Applications (3 papers). The work is most often cited by research in Molecular Biology (914 citations), Aging (12 citations), Cell Biology (78 citations), Cancer Research (63 citations) and Genetics (31 citations). Iván Dotú has collaborated with scholars based in United States, Spain and France. Frequent co-authors include Peter Clote, Jeffrey H. Chuang, Pascal Van Hentenryck, Ryuta Ishimura, Gábor Nagy, Susan L. Ackerman, Juan Antonio García-Martín, Yasuharu Nishimura, Paul Schimmel and Huihao Zhou. Their work appears in journals such as Nucleic Acids Research, PLoS ONE, PLoS Computational Biology, Journal of Mathematical 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.