József Kardos

135 total papers · 6.8k total citations
98 papers, 5.2k citations indexed

About

József Kardos is a scholar working on Molecular Biology, Physiology and Materials Chemistry. According to data from OpenAlex, József Kardos has authored 98 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Molecular Biology, 33 papers in Physiology and 14 papers in Materials Chemistry. Recurrent topics in József Kardos's work include Protein Structure and Dynamics (34 papers), Alzheimer's disease research and treatments (30 papers) and Enzyme Structure and Function (14 papers). József Kardos is often cited by papers focused on Protein Structure and Dynamics (34 papers), Alzheimer's disease research and treatments (30 papers) and Enzyme Structure and Function (14 papers). József Kardos collaborates with scholars based in Hungary, Japan and France. József Kardos's co-authors include Yuji Goto, András Micsonai, Young‐Ho Lee, Frank Wien, Matthieu Réfrégiers, Péter Závodszky, Éva Bulyáki, Éva Moussong, Gregory A. Petsko and Judit Kun and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

József Kardos

96 papers receiving 5.2k citations

Hit Papers

Accurate secondary struct... 2015 2026 2018 2022 2015 2018 2022 400 800 1.2k

Author Peers

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

Author Last Decade Papers Cites
József Kardos 3.4k 1.1k 803 468 437 98 5.2k
Young‐Ho Lee 3.4k 1.0× 1.5k 1.3× 644 0.8× 311 0.7× 618 1.4× 126 5.5k
Geoffrey J. Howlett 3.9k 1.1× 1.6k 1.5× 723 0.9× 327 0.7× 245 0.6× 131 5.8k
Jean‐Marie Ruysschaert 4.4k 1.3× 1.1k 1.0× 410 0.5× 673 1.4× 702 1.6× 110 6.7k
Arthur Laganowsky 4.1k 1.2× 955 0.9× 675 0.8× 347 0.7× 399 0.9× 105 5.6k
Débora Foguel 3.0k 0.9× 944 0.9× 566 0.7× 317 0.7× 139 0.3× 125 4.8k
Eric J. Toone 4.4k 1.3× 704 0.6× 576 0.7× 442 0.9× 368 0.8× 114 6.7k
Frank Wien 3.0k 0.9× 436 0.4× 766 1.0× 247 0.5× 463 1.1× 111 4.8k
Meytal Landau 3.2k 0.9× 1.4k 1.3× 509 0.6× 217 0.5× 590 1.4× 76 4.7k
Manuel Prieto 5.9k 1.7× 829 0.8× 597 0.7× 284 0.6× 350 0.8× 185 7.5k
Saburo Aimoto 5.5k 1.6× 1.6k 1.4× 502 0.6× 359 0.8× 392 0.9× 194 7.6k

Countries citing papers authored by József Kardos

Since Specialization
Citations

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

Fields of papers citing papers by József Kardos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of József Kardos

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