Slavik Koval

16 total papers · 464 total citations
11 papers, 340 citations indexed

About

Slavik Koval is a scholar working on Molecular Biology, Physiology and Complementary and alternative medicine. According to data from OpenAlex, Slavik Koval has authored 11 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Physiology and 4 papers in Complementary and alternative medicine. Recurrent topics in Slavik Koval's work include Biofield Effects and Biophysics (5 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Tryptophan and brain disorders (2 papers). Slavik Koval is often cited by papers focused on Biofield Effects and Biophysics (5 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Tryptophan and brain disorders (2 papers). Slavik Koval collaborates with scholars based in Netherlands, China and Czechia. Slavik Koval's co-authors include Thomas Hankemeier, J. van der Greef, Min He, Mei Wang, Eduard van Wijk, Mengmeng Sun, Raoul Raffel, Hugues Parrinello, Olivier Cuvier and Bijan Sobhian and has published in prestigious journals such as Nature Communications, PLoS ONE and Journal of Photochemistry and Photobiology B Biology.

In The Last Decade

Slavik Koval

10 papers receiving 340 citations

Author Peers

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

Author Last Decade Papers Cites
Slavik Koval 236 65 56 48 35 11 340
Elisabetta Moratti 133 0.6× 18 0.3× 51 0.9× 116 2.4× 26 0.7× 15 397
Naomi Sakaguchi 150 0.6× 14 0.2× 51 0.9× 23 0.5× 43 1.2× 11 363
Choo-Aun Neoh 126 0.5× 56 0.9× 19 0.3× 30 0.6× 22 0.6× 13 336
Jun‐Juan Zheng 169 0.7× 55 0.8× 37 0.7× 7 0.1× 14 0.4× 13 333
Hee Yeon Kay 218 0.9× 10 0.2× 25 0.4× 16 0.3× 40 1.1× 9 331
Tianyu Luo 177 0.8× 18 0.3× 16 0.3× 42 0.9× 14 0.4× 10 303
Ming-Ling Hsu 206 0.9× 8 0.1× 22 0.4× 21 0.4× 31 0.9× 10 386
Armend Axhemi 179 0.8× 62 1.0× 66 1.2× 4 0.1× 25 0.7× 12 332
Hye Kyung Kim 190 0.8× 12 0.2× 11 0.2× 24 0.5× 47 1.3× 15 356
Chu Xue 158 0.7× 9 0.1× 24 0.4× 24 0.5× 26 0.7× 14 328

Countries citing papers authored by Slavik Koval

Since Specialization
Citations

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

Fields of papers citing papers by Slavik Koval

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Slavik Koval

This figure shows the co-authorship network connecting the top 25 collaborators of Slavik Koval. A scholar is included among the top collaborators of Slavik Koval 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 Slavik Koval. Slavik Koval 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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