Pau Rué
Impact in
- Molecular Biology top 10%
- Pluripotent Stem Cells Research
- Bacterial biofilms and quorum sensing
- Gene Regulatory Network Analysis
- Epigenetics and DNA Methylation
- CRISPR and Genetic Engineering
- Genomics and Chromatin Dynamics
- Developmental Biology and Gene Regulation
- Developmental Neuroscience top 10%
Papers in
-
- Pluripotent Stem Cells Research 8
- Gene Regulatory Network Analysis 7
- CRISPR and Genetic Engineering 4
- Renal and related cancers 2
-
- stochastic dynamics and bifurcation 4
- Co-authors
- Alfonso Martínez Arias (7 shared papers)Jordi García‐Ojalvo (9 shared papers)David A. Turner (3 shared papers)Penelope Hayward (3 shared papers)Gürol M. Süel (2 shared papers)Yingjie Du (1 shared paper)Zhenxing Hu (1 shared paper)Tolga Çağatay (1 shared paper)
- Journals
- Molecular Systems Biology (2 papers)Development (2 papers)Biology Open (1 paper)PLoS Computational Biology (1 paper)PLoS Biology (1 paper)
- Partner nations
- SpainUnited KingdomUnited States
In The Last Decade
Pau Rué
18 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 109
- Molecular Biology 862
- Developmental Neuroscience 33
- Biophysics 32
- Genetics 138
- Modeling and Simulation 22
Countries citing papers authored by Pau Rué
This map shows the geographic impact of Pau Rué'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 Pau Rué with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pau Rué more than expected).
Fields of papers citing papers by Pau Rué
This network shows the impact of papers produced by Pau Rué. 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 Pau Rué. The network helps show where Pau Rué may publish in the future.
Co-authors
The 25 scholars most cited alongside Pau Rué, 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 | 2012 | 280 | |
| 2 | 2009 | 160 | |
| 3 | 2014 | 118 | |
| 4 | 2015 | 77 | |
| 5 | 2014 | 66 | |
| 6 | 2015 | 65 | |
| 7 | 2014 | 45 | |
| 8 | 2015 | 44 | |
| 9 | 2012 | 40 | |
| 10 | 2013 | 37 | |
| 11 | 2016 | 28 | |
| 12 | 2013 | 27 | |
| 13 | 2011 | 26 | |
| 14 | 2010 | 22 | |
| 15 | 2010 | 9 | |
| 16 | 2012 | 8 | |
| 17 | 2011 | 6 | |
| 18 | 2011 | 4 |
About Pau Rué
Pau Rué is a scholar working on Molecular Biology, Statistical and Nonlinear Physics, Genetics, Cognitive Neuroscience and Biomedical Engineering, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (8 papers), Gene Regulatory Network Analysis (7 papers), CRISPR and Genetic Engineering (4 papers), stochastic dynamics and bifurcation (4 papers), Neural dynamics and brain function (2 papers), Renal and related cancers (2 papers), 3D Printing in Biomedical Research (2 papers) and Advanced Materials and Mechanics (1 paper). The work is most often cited by research in Molecular Biology (862 citations), Developmental Neuroscience (33 citations), Biophysics (32 citations), Genetics (138 citations) and Modeling and Simulation (22 citations). Pau Rué has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Alfonso Martínez Arias, Jordi García‐Ojalvo, David A. Turner, Penelope Hayward, Gürol M. Süel, Yingjie Du, Zhenxing Hu, Tolga Çağatay, Hongbing Lu and Mark Kittisopikul. Their work appears in journals such as Molecular Systems Biology, Development, Biology Open, PLoS Computational Biology and PLoS Biology.
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.