Gábor Pogány

33 total papers · 739 total citations
28 papers, 635 citations indexed

About

Gábor Pogány is a scholar working on Cell Biology, Molecular Biology and Oncology. According to data from OpenAlex, Gábor Pogány has authored 28 papers receiving a total of 635 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cell Biology, 12 papers in Molecular Biology and 6 papers in Oncology. Recurrent topics in Gábor Pogány's work include Proteoglycans and glycosaminoglycans research (9 papers), Glycosylation and Glycoproteins Research (6 papers) and Cellular Mechanics and Interactions (4 papers). Gábor Pogány is often cited by papers focused on Proteoglycans and glycosaminoglycans research (9 papers), Glycosylation and Glycoproteins Research (6 papers) and Cellular Mechanics and Interactions (4 papers). Gábor Pogány collaborates with scholars based in Hungary, United States and France. Gábor Pogány's co-authors include Kathryn G. Vogel, Daniel J. Hernández, John D. Sandy, András Jeney, József Tı́már, K. Lapis, Sándor Paku, F. Timár, Renato V. Iozzo and Ilona Kovalszky and has published in prestigious journals such as Biochemical and Biophysical Research Communications, International Journal of Cancer and Archives of Biochemistry and Biophysics.

In The Last Decade

Gábor Pogány

27 papers receiving 615 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 Pogány 269 227 213 193 79 28 635
Maria Enrica Tira 222 0.8× 154 0.7× 54 0.3× 77 0.4× 91 1.2× 22 676
Charles Godbout 122 0.5× 144 0.6× 148 0.7× 250 1.3× 47 0.6× 24 655
Lee I. Melching 330 1.2× 188 0.8× 53 0.2× 95 0.5× 317 4.0× 16 660
Yayoi Izu 97 0.4× 318 1.4× 168 0.8× 97 0.5× 105 1.3× 23 763
Chau‐Zen Wang 134 0.5× 182 0.8× 63 0.3× 107 0.6× 87 1.1× 27 680
Mark Siegrist 105 0.4× 174 0.8× 97 0.5× 241 1.2× 382 4.8× 22 713
J. P. Scherft 146 0.5× 361 1.6× 98 0.5× 116 0.6× 207 2.6× 24 730
Paul W. Kopesky 104 0.4× 139 0.6× 85 0.4× 175 0.9× 361 4.6× 17 627
Eric J. Vanderploeg 133 0.5× 130 0.6× 102 0.5× 266 1.4× 413 5.2× 17 709
Mireille Thomas 55 0.2× 278 1.2× 111 0.5× 75 0.4× 177 2.2× 27 744

Countries citing papers authored by Gábor Pogány

Since Specialization
Citations

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

Fields of papers citing papers by Gábor Pogány

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gábor Pogány

This figure shows the co-authorship network connecting the top 25 collaborators of Gábor Pogány. A scholar is included among the top collaborators of Gábor Pogány 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 Pogány. Gábor Pogány 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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2026