Gábor Hirka

62 total papers · 909 total citations
48 papers, 703 citations indexed

About

Gábor Hirka is a scholar working on Molecular Biology, Cancer Research and Plant Science. According to data from OpenAlex, Gábor Hirka has authored 48 papers receiving a total of 703 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 13 papers in Cancer Research and 11 papers in Plant Science. Recurrent topics in Gábor Hirka's work include Carcinogens and Genotoxicity Assessment (12 papers), Algal biology and biofuel production (4 papers) and Cannabis and Cannabinoid Research (3 papers). Gábor Hirka is often cited by papers focused on Carcinogens and Genotoxicity Assessment (12 papers), Algal biology and biofuel production (4 papers) and Cannabis and Cannabinoid Research (3 papers). Gábor Hirka collaborates with scholars based in United States, Hungary and Netherlands. Gábor Hirka's co-authors include John R. Endres, Adél Vértesi, Ilona Pasics Szakonyiné, Róbert Glávits, Erzsébet Béres, Amy Clewell, Ie−Ming Shih, Peter W. Andrews, István Vályi‐Nagy and Pamela J. Jensen and has published in prestigious journals such as Journal of Virology, International Journal of Pharmaceutics and Food and Chemical Toxicology.

In The Last Decade

Gábor Hirka

45 papers receiving 668 citations

Author Peers

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

Author Last Decade Papers Cites
Gábor Hirka 208 106 101 81 75 48 703
Han Gao 341 1.6× 33 0.3× 118 1.2× 34 0.4× 94 1.3× 71 828
Jae-Ho Shin 365 1.8× 40 0.4× 92 0.9× 16 0.2× 69 0.9× 58 801
Pei Hu 356 1.7× 103 1.0× 202 2.0× 22 0.3× 72 1.0× 33 711
Pawan Kumar 190 0.9× 93 0.9× 131 1.3× 31 0.4× 23 0.3× 27 755
Haytham Ali 158 0.8× 30 0.3× 165 1.6× 12 0.1× 100 1.3× 66 858
Kihoon Kim 277 1.3× 106 1.0× 104 1.0× 10 0.1× 79 1.1× 46 744
Luís Octávio Regasini 265 1.3× 50 0.5× 110 1.1× 25 0.3× 63 0.8× 35 699
Dony Chacko Mathew 293 1.4× 79 0.7× 111 1.1× 35 0.4× 43 0.6× 18 792
J. A. McCay 104 0.5× 41 0.4× 82 0.8× 19 0.2× 83 1.1× 41 877
Lu Luo 250 1.2× 65 0.6× 122 1.2× 20 0.2× 26 0.3× 35 680

Countries citing papers authored by Gábor Hirka

Since Specialization
Citations

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

Fields of papers citing papers by Gábor Hirka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gábor Hirka

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