Casian Pantea
- Molecular Biology
- Computational Theory and Mathematics top 10%
- Statistical and Nonlinear Physics top 10%
- Control and Systems Engineering
- Astronomy and Astrophysics
- Co-authors
- Gheorghe CrăciunFëdor NazarovMurad BanajiHeinz KoepplDavid AngeliGrzegorz A. RempałaMatthew D. JohnstonValery G. Romanovski
- Topics
- Gene Regulatory Network Analysis (18 papers)Microbial Metabolic Engineering and Bioproduction (11 papers)Protein Structure and Dynamics (4 papers)
- Cited by
- Computational Theory and MathematicsModeling and SimulationStatistical and Nonlinear Physics
- Partner nations
- United StatesUnited KingdomSlovenia
In The Last Decade
Casian Pantea
18 papers receiving 259 citations
Peers
Comparison fields: 5 of 46
- Molecular Biology 225
- Computational Theory and Mathematics 77
- Statistical and Nonlinear Physics 47
- Control and Systems Engineering 35
- Astronomy and Astrophysics 26
Countries citing papers authored by Casian Pantea
This map shows the geographic impact of Casian Pantea'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 Casian Pantea with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Casian Pantea more than expected).
Fields of papers citing papers by Casian Pantea
This network shows the impact of papers produced by Casian Pantea. 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 Casian Pantea. The network helps show where Casian Pantea may publish in the future.
Co-authorship network of co-authors of Casian Pantea
This figure shows the co-authorship network connecting the top 25 collaborators of Casian Pantea. A scholar is included among the top collaborators of Casian Pantea 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 Casian Pantea. Casian Pantea is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 7 | |
| 8 | 29 | |
| 9 | 12 | |
| 10 | Some remarks on injectivity of chemical reaction networks | 1 |
| 11 | 54 | |
| 12 | 22 | |
| 13 | 5 | |
| 14 | 43 | |
| 15 | Mathematical and computational analysis of biochemical reaction networks | 2 |
| 16 | 7 | |
| 17 | 6 | |
| 18 | 85 | |
| 19 | ON THE NUMBER OF CONJUGACY CLASSES OF FINITE p-GROUPS | 2 |
About Casian Pantea
Casian Pantea is a scholar working on Modeling and Simulation, Discrete Mathematics and Combinatorics and Computational Theory and Mathematics, having authored 19 papers that have together received 285 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (18 papers), Microbial Metabolic Engineering and Bioproduction (11 papers) and Protein Structure and Dynamics (4 papers). The work is most often cited by research in Computational Theory and Mathematics (77 citations), Modeling and Simulation (18 citations) and Statistical and Nonlinear Physics (47 citations). Casian Pantea has collaborated with scholars based in United States, United Kingdom and Slovenia. Frequent co-authors include Gheorghe Crăciun, Fëdor Nazarov, Murad Banaji, Heinz Koeppl, David Angeli, Grzegorz A. Rempała, Matthew D. Johnston, Valery G. Romanovski, Maya Mincheva and Jaejik Kim. Their work appears in journals such as Bioinformatics, SIAM Journal on Applied Mathematics and Bulletin of Mathematical 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.