Costas D. Maranas
- Molecular Biology top 0.2%
- Biomedical Engineering top 0.5%
- Control and Systems Engineering top 0.5%
- Renewable Energy, Sustainability and the Environment top 2%
- Computational Theory and Mathematics top 0.5%
- Co-authors
- Anthony P. BurgardPriti PharkyaChristodoulos A. FloudasAli R. ZomorrodiAnshuman GuptaPatrick F. SuthersSridhar RanganathanVinay Kumar
- Topics
- Microbial Metabolic Engineering and Bioproduction (131 papers)Biofuel production and bioconversion (63 papers)Gene Regulatory Network Analysis (51 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- United StatesBulgariaUnited Kingdom
In The Last Decade
Costas D. Maranas
235 papers receiving 13.6k citations
Hit Papers
Peers
Comparison fields: 5 of 181
- Molecular Biology 10.1k
- Biomedical Engineering 4.1k
- Control and Systems Engineering 1.7k
- Renewable Energy, Sustainability and the Environment 989
- Computational Theory and Mathematics 945
Countries citing papers authored by Costas D. Maranas
This map shows the geographic impact of Costas D. Maranas'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 Costas D. Maranas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Costas D. Maranas more than expected).
Fields of papers citing papers by Costas D. Maranas
This network shows the impact of papers produced by Costas D. Maranas. 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 Costas D. Maranas. The network helps show where Costas D. Maranas may publish in the future.
Co-authorship network of co-authors of Costas D. Maranas
This figure shows the co-authorship network connecting the top 25 collaborators of Costas D. Maranas. A scholar is included among the top collaborators of Costas D. Maranas 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 Costas D. Maranas. Costas D. Maranas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | 14 | |
| 5 | 17 | |
| 6 | 58 | |
| 7 | 12 | |
| 8 | 12 | |
| 9 | 6 | |
| 10 | 38 | |
| 11 | 18 | |
| 12 | 19 | |
| 13 | 17 | |
| 14 | 55 | |
| 15 | 144 | |
| 16 | 71 | |
| 17 | 107 | |
| 18 | 40 | |
| 19 | 314 | |
| 20 | 49 |
About Costas D. Maranas
Costas D. Maranas is a scholar working on Molecular Biology, Biomedical Engineering and Numerical Analysis, having authored 239 papers that have together received 13.9k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (131 papers), Biofuel production and bioconversion (63 papers) and Gene Regulatory Network Analysis (51 papers). The work is most often cited by research in Molecular Biology (10.1k citations), Numerical Analysis (640 citations) and Biomedical Engineering (4.1k citations). Costas D. Maranas has collaborated with scholars based in United States, Bulgaria and United Kingdom. Frequent co-authors include Anthony P. Burgard, Priti Pharkya, Christodoulos A. Floudas, Ali R. Zomorrodi, Anshuman Gupta, Patrick F. Suthers, Sridhar Ranganathan, Vinay Kumar, Anupam Chowdhury and Madhukar S. Dasika. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.