Judit Kun

1.5k citations
8 papers · 1.1k · 1 hit paper · h-index 5

Impact in

Papers in

    • Protein Structure and Dynamics 3
    • Prion Diseases and Protein Misfolding 2
    • RNA and protein synthesis mechanisms 1
    • Neuroinflammation and Neurodegeneration Mechanisms 2

Judit Kun

8 papers receiving 1.1k citations

Judit Kun's Hit Papers

BeStSel: a web server for accurate protein secondary structure prediction and fold recognition from the circular dichroism spectra 2018 · 846 citations
8460+2+5Years since publication250500750

Peers

Judit Kun
Comparison fields: 5 of 112
  • Neurology 129
  • Biological Psychiatry 20
  • Molecular Biology 584
  • Microbiology 44
  • Biomaterials 82
Replace Éva Bulyáki with:
Éva Bulyáki Hungary
Rita P.‐Y. Chen Taiwan
Kristoffer Brännström Sweden
Giuseppina Pitari Italy
Angelo Palmigiano Italy
Jo V. Rushworth United Kingdom
Anders Öhman Sweden
Shuiming Li China
Cheng Ma United States
Chi L.L. Pham Australia
Judit Kun relative to Éva Bulyáki Hungary Éva Bulyáki's profile →
Citations per field
00.5×1.5×1.8×
Éva Bulyáki · 1×
Citations per year

Countries citing papers authored by Judit Kun

Since Specialization
Citations

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

Fields of papers citing papers by Judit Kun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Judit Kun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Judit Kun Line = papers co-authored together Judit Kun links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
BeStSel: a web server for accurate protein secondary structure prediction and fold recognition from the circular dichroism spectra
Hit paper breakdown →
2018846
2 2018147
3 202131
4 202517
5 202016
6 20184
7 20213
8 20261

About Judit Kun

Judit Kun is a scholar working on Molecular Biology, Neurology, Physiology, Oncology and Physiology, having authored 8 papers that have together received 1.1k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (3 papers), Alzheimer's disease research and treatments (2 papers), Prion Diseases and Protein Misfolding (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), RNA and protein synthesis mechanisms (1 paper), Biomarkers in Disease Mechanisms (1 paper), Molecular spectroscopy and chirality (1 paper) and Enzyme Structure and Function (1 paper). The work is most often cited by research in Neurology (129 citations), Biological Psychiatry (20 citations), Molecular Biology (584 citations), Microbiology (44 citations) and Biomaterials (82 citations). Judit Kun has collaborated with scholars based in Hungary, France and Japan. Frequent co-authors include József Kardos, András Micsonai, Éva Bulyáki, Éva Moussong, Frank Wien, Matthieu Réfrégiers, Yuji Goto, Young‐Ho Lee, Balázs A. Györffy and György Török. Their work appears in journals such as PLoS Pathogens, Biology, Protein Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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