David Murrugarra
- Molecular Biology
- Computational Theory and Mathematics top 10%
- Genetics
- Modeling and Simulation top 10%
- Statistical and Nonlinear Physics
- Co-authors
- Reinhard LaubenbacherBoris AguilarAlan Veliz‐CubaAbdul Salam JarrahSeda AratClaus KadelkaQiang YeMichael Levin
- Topics
- Gene Regulatory Network Analysis (22 papers)Bioinformatics and Genomic Networks (10 papers)Microbial Metabolic Engineering and Bioproduction (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaTrends in Ecology & EvolutionAutomatica
- Partner nations
- United States
In The Last Decade
David Murrugarra
30 papers receiving 350 citations
Peers
Comparison fields: 5 of 77
- Molecular Biology 284
- Computational Theory and Mathematics 61
- Genetics 54
- Modeling and Simulation 26
- Statistical and Nonlinear Physics 22
Countries citing papers authored by David Murrugarra
This map shows the geographic impact of David Murrugarra'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 David Murrugarra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Murrugarra more than expected).
Fields of papers citing papers by David Murrugarra
This network shows the impact of papers produced by David Murrugarra. 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 David Murrugarra. The network helps show where David Murrugarra may publish in the future.
Co-authorship network of co-authors of David Murrugarra
This figure shows the co-authorship network connecting the top 25 collaborators of David Murrugarra. A scholar is included among the top collaborators of David Murrugarra based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Murrugarra. David Murrugarra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 0 | |
| 4 | 18 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 0 | |
| 9 | 11 | |
| 10 | 8 | |
| 11 | 2 | |
| 12 | 27 | |
| 13 | 5 | |
| 14 | 8 | |
| 15 | 5 | |
| 16 | 19 | |
| 17 | 34 | |
| 18 | 58 | |
| 19 | Regulatory motifs in molecular interaction networks | 1 |
| 20 | 0 A Mathematical Framework for Agent Based Models of Complex Biological Networks ∗ | 56 |
About David Murrugarra
David Murrugarra is a scholar working on Modeling and Simulation, Computational Theory and Mathematics and Biophysics, having authored 32 papers that have together received 364 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (22 papers), Bioinformatics and Genomic Networks (10 papers) and Microbial Metabolic Engineering and Bioproduction (7 papers). The work is most often cited by research in Modeling and Simulation (26 citations), Molecular Biology (284 citations) and Computational Theory and Mathematics (61 citations). David Murrugarra has collaborated with scholars based in United States. Frequent co-authors include Reinhard Laubenbacher, Boris Aguilar, Alan Veliz‐Cuba, Abdul Salam Jarrah, Seda Arat, Claus Kadelka, Qiang Ye, Michael Levin, Santosh Manicka and William C. Ratcliff. Their work appears in journals such as SHILAP Revista de lepidopterología, Trends in Ecology & Evolution and Automatica.
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.