Cornel Catana

572 citations
15 papers · 330 indexed · h-index 10
Topics
Computational Drug Discovery Methods (10 papers)Protein Kinase Regulation and GTPase Signaling (3 papers)Phagocytosis and Immune Regulation (3 papers)

In The Last Decade

Cornel Catana

14 papers receiving 314 citations

Peers

Cornel Catana
Comparison fields: 5 of 73
  • Molecular Biology 188
  • Computational Theory and Mathematics 110
  • Organic Chemistry 61
  • Immunology 49
  • Oncology 42
Replace Cyrill Brunner with:
Cyrill Brunner Switzerland
Julie E. Cansfield United Kingdom
Sabine Schultes Austria
Vladas Algirdas Bumelis Lithuania
Phani Ghanakota United States
Paul R. J. Davey United Kingdom
Fredrik Edfeldt Sweden
Kelly M. George United States
Zhang Ji Singapore
Jesús Vázquez Spain
Cornel Catana relative to Cyrill Brunner Switzerland Cyrill Brunner's profile →
Citations per field
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Citations per year

Countries citing papers authored by Cornel Catana

Since Specialization
Citations

This map shows the geographic impact of Cornel Catana'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 Cornel Catana with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cornel Catana more than expected).

Fields of papers citing papers by Cornel Catana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cornel Catana. 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 Cornel Catana. The network helps show where Cornel Catana may publish in the future.

Co-authorship network of co-authors of Cornel Catana

This figure shows the co-authorship network connecting the top 25 collaborators of Cornel Catana. A scholar is included among the top collaborators of Cornel Catana 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 Cornel Catana. Cornel Catana is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 12
2 12
3 13
4 44
5 7
6 1
7 137
8 15
9 2
10 33
11 19
12 17
13 3
14 5
15
Applications of weighted topological index J for QSAR of carcinogenesis inhibitors (retinoic acid derivatives).
10

About Cornel Catana

Cornel Catana is a scholar working on Computational Theory and Mathematics, Geometry and Topology and Analytical Chemistry, having authored 15 papers that have together received 330 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (10 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and Phagocytosis and Immune Regulation (3 papers). The work is most often cited by research in Computational Theory and Mathematics (110 citations), Molecular Biology (188 citations) and Immunology (49 citations). Cornel Catana has collaborated with scholars based in United States, Italy and Bulgaria. Frequent co-authors include Pieter F. W. Stouten, Jean‐Yves Trosset, Marina Fasolini, Laura Gianellini, Sergio Mantegani, M. Sundström, Stefan Knapp, Claudio Dalvit, Jürgen Moll and Marina Veronesi. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Computational Chemistry and Proteins Structure Function and Bioinformatics.

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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