Casian Pantea

635 citations
19 papers · 285 indexed · h-index 8

Casian Pantea

18 papers receiving 259 citations

Peers

Casian Pantea
Comparison fields: 5 of 46
  • Computational Theory and Mathematics 77
  • Modeling and Simulation 18
  • Statistical and Nonlinear Physics 47
  • Molecular Biology 225
  • Numerical Analysis 15
Replace Maya Mincheva with:
Maya Mincheva United States
Felix Sadyrbaev Latvia
В. А. Садовничий Russia
Olaf Wittich Germany
Misha Gromov France
M. Thieullen France
Wen-Xin Qin China
Delphine Salort France
С. Д. Глызин Russia
A. F. Horadam Australia
Casian Pantea relative to Maya Mincheva United States Maya Mincheva's profile →
Citations per field
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Maya Mincheva · 1×
Citations per year

Countries citing papers authored by Casian Pantea

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 11 scholars most cited alongside Casian Pantea, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Casian Pantea Line = papers co-authored together Casian Pantea links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 20250
2 20222
3 20224
4 20201
5 20201
6 20172
7 20157
8 201429
9 201412
10
Some remarks on injectivity of chemical reaction networks
20131
11 201354
12 201222
13 20125
14 201243
15
Mathematical and computational analysis of biochemical reaction networks
20102
16 20107
17 20096
18 200785
19
ON THE NUMBER OF CONJUGACY CLASSES OF FINITE p-GROUPS
20042

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), Protein Structure and Dynamics (4 papers), Computational Drug Discovery Methods (4 papers), Origins and Evolution of Life (4 papers), Bioinformatics and Genomic Networks (3 papers), Mathematical Biology Tumor Growth (2 papers) and Nonlinear Dynamics and Pattern Formation (2 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.

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