Vladimı́r Frecer

107 total papers · 1.7k total citations
86 papers, 1.4k citations indexed

About

Vladimı́r Frecer is a scholar working on Molecular Biology, Organic Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Vladimı́r Frecer has authored 86 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 24 papers in Organic Chemistry and 19 papers in Computational Theory and Mathematics. Recurrent topics in Vladimı́r Frecer's work include Computational Drug Discovery Methods (19 papers), Chemical Synthesis and Analysis (12 papers) and HIV/AIDS drug development and treatment (8 papers). Vladimı́r Frecer is often cited by papers focused on Computational Drug Discovery Methods (19 papers), Chemical Synthesis and Analysis (12 papers) and HIV/AIDS drug development and treatment (8 papers). Vladimı́r Frecer collaborates with scholars based in Slovakia, Italy and Ivory Coast. Vladimı́r Frecer's co-authors include Stanislav Miertuš, Jeak Ling Ding, Bow Ho, Eugène Megnassan, Bow Ho, Thanyada Rungrotmongkol, Magdaléna Májeková, Pierfausto Seneci, Federico Berti and Nguan Soon Tan and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Vladimı́r Frecer

85 papers receiving 1.3k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Vladimı́r Frecer 812 334 238 206 183 86 1.4k
Maciej Bagiński 1.0k 1.2× 306 0.9× 81 0.3× 92 0.4× 299 1.6× 66 1.7k
Namita Surolia 805 1.0× 409 1.2× 211 0.9× 129 0.6× 197 1.1× 65 1.7k
Petra Lukacik 903 1.1× 130 0.4× 154 0.6× 104 0.5× 163 0.9× 34 1.7k
Julien Rey 1.2k 1.4× 94 0.3× 299 1.3× 224 1.1× 151 0.8× 32 1.7k
Florent Barbault 689 0.8× 255 0.8× 144 0.6× 117 0.6× 200 1.1× 60 1.2k
Vahan Simonyan 610 0.8× 98 0.3× 71 0.3× 66 0.3× 90 0.5× 62 1.5k
Jean‐François Guichou 964 1.2× 226 0.7× 189 0.8× 42 0.2× 83 0.5× 63 1.7k
Francesco Saverio Di Leva 1.0k 1.3× 363 1.1× 217 0.9× 73 0.4× 305 1.7× 67 1.8k
Rodrigo V. Honorato 999 1.2× 104 0.3× 191 0.8× 47 0.2× 112 0.6× 36 1.6k
Nicola G. Wallis 906 1.1× 317 0.9× 217 0.9× 184 0.9× 198 1.1× 44 1.8k

Countries citing papers authored by Vladimı́r Frecer

Since Specialization
Citations

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

Fields of papers citing papers by Vladimı́r Frecer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vladimı́r Frecer

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

All Works

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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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