József Kardos

6.9k citations
99 papers · 5.3k indexed · 3 hit papers · h-index 33
Topics
Protein Structure and Dynamics (34 papers)Alzheimer's disease research and treatments (30 papers)Enzyme Structure and Function (14 papers)
Partner nations
HungaryJapanFrance

In The Last Decade

József Kardos

96 papers receiving 5.2k citations

Hit Papers

Accurate secondary structure prediction and fold recognit...20152026201820222015201820224008001.2k

Peers

József Kardos
Comparison fields: 5 of 147
  • Molecular Biology 3.4k
  • Physiology 1.1k
  • Materials Chemistry 803
  • Immunology 472
  • Biomaterials 443
Replace Young‐Ho Lee with:
Young‐Ho Lee Japan
Yun‐Ru Chen Taiwan
Jean‐Marie Ruysschaert Belgium
Guy Lippens France
Eva Y. United States
Shohei Koide United States
Christoph Weise Germany
Xavier Fernàndez‐Busquets Spain
Saburo Aimoto Japan
Torsten Hoffmann Germany
József Kardos relative to Young‐Ho Lee Japan Young‐Ho Lee's profile →
Citations per field
00.5×1.5×
Young‐Ho Lee · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 11
2 0
3 5
4 1
5 2
6
BeStSel: webserver for secondary structure and fold prediction for protein CD spectroscopybreakdown →
237
7 47
8 24
9 50
10 26
11 6
12 20
13 19
14
Accurate secondary structure prediction and fold recognition for circular dichroism spectroscopybreakdown →
1292
15 36
16 7
17 12
18 42
19 33
20 33

About József Kardos

József Kardos is a scholar working on Physiology, Neurology and Molecular Biology, having authored 99 papers that have together received 5.3k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (34 papers), Alzheimer's disease research and treatments (30 papers) and Enzyme Structure and Function (14 papers). The work is most often cited by research in Molecular Biology (3.4k citations), Physiology (1.1k citations) and Biomaterials (443 citations). József Kardos has collaborated with scholars based in Hungary, Japan and France. Frequent 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

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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