János Pauk

144 total papers · 1.5k total citations
90 papers, 977 citations indexed

About

János Pauk is a scholar working on Plant Science, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, János Pauk has authored 90 papers receiving a total of 977 indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Plant Science, 50 papers in Molecular Biology and 18 papers in Agronomy and Crop Science. Recurrent topics in János Pauk's work include Plant tissue culture and regeneration (46 papers), Plant Genetic and Mutation Studies (27 papers) and Wheat and Barley Genetics and Pathology (24 papers). János Pauk is often cited by papers focused on Plant tissue culture and regeneration (46 papers), Plant Genetic and Mutation Studies (27 papers) and Wheat and Barley Genetics and Pathology (24 papers). János Pauk collaborates with scholars based in Hungary, Australia and Germany. János Pauk's co-authors include Csaba Lantos, László Sass, Dénes Dudits, Imre Vass, Lajos Bóna, Zoltán Kristóf, Pál Vági, Z. I. Kertész, Barnabás Jenes and Kenny Paul and has published in prestigious journals such as SHILAP Revista de lepidopterología, Development and International Journal of Molecular Sciences.

In The Last Decade

János Pauk

82 papers receiving 877 citations

Author Peers

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

Author Last Decade Papers Cites
János Pauk 884 595 120 109 72 90 977
J. Zimny 887 1.0× 769 1.3× 160 1.3× 53 0.5× 62 0.9× 63 987
Nathan A. Palmer 675 0.8× 571 1.0× 88 0.7× 288 2.6× 56 0.8× 50 1.1k
B. D. Singh 947 1.1× 433 0.7× 67 0.6× 115 1.1× 126 1.8× 71 1.2k
Adilson Kenji Kobayashi 865 1.0× 575 1.0× 101 0.8× 32 0.3× 44 0.6× 49 1.1k
Л. А. Лутова 843 1.0× 692 1.2× 82 0.7× 87 0.8× 30 0.4× 95 1.0k
Yordan Muhovski 849 1.0× 433 0.7× 50 0.4× 55 0.5× 44 0.6× 72 1.0k
B. L. Harvey 761 0.9× 486 0.8× 51 0.4× 80 0.7× 68 0.9× 46 936
Jean‐Marie Jacquemin 887 1.0× 372 0.6× 53 0.4× 66 0.6× 257 3.6× 51 1.1k
Gang‐Seob Lee 770 0.9× 313 0.5× 34 0.3× 72 0.7× 153 2.1× 92 898
Maria Wędzony 820 0.9× 375 0.6× 28 0.2× 111 1.0× 82 1.1× 55 912

Countries citing papers authored by János Pauk

Since Specialization
Citations

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

Fields of papers citing papers by János Pauk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of János Pauk

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