Leonidas Bleris
- Molecular Biology top 10%
- Control and Systems Engineering top 5%
- Biomedical Engineering
- Plant Science top 10%
- Genetics
- Co-authors
- Yaakov BenensonMayuresh V. KothareYi LiMark G. ArnoldRohan MaddamsettiSairam SubramanianRon WeissZhen Xie
- Topics
- CRISPR and Genetic Engineering (18 papers)Gene Regulatory Network Analysis (15 papers)Advanced Control Systems Optimization (13 papers)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Leonidas Bleris
65 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 135
- Molecular Biology 1.2k
- Control and Systems Engineering 256
- Biomedical Engineering 229
- Plant Science 222
- Genetics 136
Countries citing papers authored by Leonidas Bleris
This map shows the geographic impact of Leonidas Bleris'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 Leonidas Bleris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leonidas Bleris more than expected).
Fields of papers citing papers by Leonidas Bleris
This network shows the impact of papers produced by Leonidas Bleris. 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 Leonidas Bleris. The network helps show where Leonidas Bleris may publish in the future.
Co-authorship network of co-authors of Leonidas Bleris
This figure shows the co-authorship network connecting the top 25 collaborators of Leonidas Bleris. A scholar is included among the top collaborators of Leonidas Bleris 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 Leonidas Bleris. Leonidas Bleris 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 | 6 | |
| 3 | 3 | |
| 4 | 11 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 61 | |
| 8 | 2 | |
| 9 | 11 | |
| 10 | 49 | |
| 11 | 67 | |
| 12 | 23 | |
| 13 | 5 | |
| 14 | 21 | |
| 15 | 8 | |
| 16 | Bioinformatics Research and Applications: 8th International Symposium, ISBRA 2012, Dallas, TX, USA, May 21-23, 2012. Proceedings | 1 |
| 17 | 58 | |
| 18 | 15 | |
| 19 | 46 | |
| 20 | Towards a co-design implementation of a system for model predictive control | 7 |
About Leonidas Bleris
Leonidas Bleris is a scholar working on Hardware and Architecture, Biophysics and Control and Systems Engineering, having authored 65 papers that have together received 1.9k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (18 papers), Gene Regulatory Network Analysis (15 papers) and Advanced Control Systems Optimization (13 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Biophysics (92 citations) and Hardware and Architecture (97 citations). Leonidas Bleris has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Yaakov Benenson, Mayuresh V. Kothare, Yi Li, Mark G. Arnold, Rohan Maddamsetti, Sairam Subramanian, Ron Weiss, Zhen Xie, Chance M. Nowak and Richard Moore. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Biotechnology.
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.