József Kardos

6.9k total citations · 3 hit papers
99 papers, 5.3k 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 99 papers receiving a total of 5.3k 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

3 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Accurate secondary structure prediction and fold recognition for circular dichroism spectroscopy

2015 1.3k citations András Micsonai, Frank Wien et al. Proceedings of the National Academy of Sciences profile →
BeStSel: a web server for accurate protein secondary structure prediction and fold recognition from the circular dichroism spectra

2018 820 citations András Micsonai, Frank Wien et al. Nucleic Acids Research profile →
BeStSel: webserver for secondary structure and fold prediction for protein CD spectroscopy

2022 237 citations András Micsonai, Éva Moussong et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
József Kardos Hungary	33	3.4k	1.1k	803	472	443	99	5.3k
Young‐Ho Lee Japan	31	3.4k 1.0×	1.5k 1.3×	649 0.8×	314 0.7×	625 1.4×	126	5.6k
Arthur Laganowsky United States	35	4.1k 1.2×	960 0.9×	678 0.8×	357 0.8×	401 0.9×	105	5.7k
Jean‐Marie Ruysschaert Belgium	41	4.4k 1.3×	1.1k 1.0×	414 0.5×	674 1.4×	702 1.6×	110	6.7k
Débora Foguel Brazil	38	3.0k 0.9×	945 0.9×	568 0.7×	319 0.7×	139 0.3×	126	4.8k
Frank Wien France	26	3.1k 0.9×	439 0.4×	768 1.0×	249 0.5×	474 1.1×	112	4.9k
Manuel Prieto Portugal	46	5.9k 1.7×	832 0.8×	598 0.7×	284 0.6×	350 0.8×	186	7.6k
Marie‐Isabel Aguilar Australia	47	4.7k 1.4×	649 0.6×	395 0.5×	461 1.0×	704 1.6×	213	7.0k
Ludmilla A. Morozova‐Roche Sweden	35	2.7k 0.8×	1.8k 1.6×	413 0.5×	312 0.7×	293 0.7×	91	4.1k
Sarah Rauscher Canada	14	4.3k 1.2×	451 0.4×	941 1.2×	239 0.5×	457 1.0×	32	5.8k
Saburo Aimoto Japan	46	5.5k 1.6×	1.6k 1.4×	503 0.6×	358 0.8×	394 0.9×	195	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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20 of 20 papers shown

Kardos, József, Éva Moussong, Frank Wien, et al.. (2025). Guide to the structural characterization of protein aggregates and amyloid fibrils by CD spectroscopy. Protein Science. 34(3). e70066–e70066. 11 indexed citations

Hunyadi‐Gulyás, Éva, et al.. (2024). Comparative analysis of hippocampal extracellular space uncovers widely altered peptidome upon epileptic seizure in urethane-anaesthetized rats. Fluids and Barriers of the CNS. 21(1). 6–6.

Lin, Yuxi, Eugene Bok, Dong‐Hyun Seo, et al.. (2023). An amphiphilic material arginine–arginine–bile acid promotes α-synuclein amyloid formation. Nanoscale. 15(21). 9315–9328. 5 indexed citations

Szabó, Beáta, et al.. (2023). In Vivo and In Vitro Characterization of the RNA Binding Capacity of SETD1A (KMT2F). International Journal of Molecular Sciences. 24(22). 16032–16032. 1 indexed citations

Csősz, Éva, et al.. (2023). LPS-induced acute neuroinflammation, involving interleukin-1 beta signaling, leads to proteomic, cellular, and network-level changes in the prefrontal cortex of mice. Brain Behavior & Immunity - Health. 28. 100594–100594. 14 indexed citations

Micsonai, András, Éva Moussong, Frank Wien, et al.. (2022). BeStSel: webserver for secondary structure and fold prediction for protein CD spectroscopy. Nucleic Acids Research. 50(W1). W90–W98. 237 indexed citations breakdown →

Vadászi, Henrietta, Bence Kiss, András Micsonai, et al.. (2022). Competitive inhibition of the classical complement pathway using exogenous single-chain C1q recognition proteins. Journal of Biological Chemistry. 298(7). 102113–102113. 4 indexed citations

Yamaguchi, K., Masatomo So, Eri Chatani, et al.. (2021). Breakdown of supersaturation barrier links protein folding to amyloid formation. Communications Biology. 4(1). 120–120. 47 indexed citations

Györffy, Balázs A., György Török, Péter Gulyássy, et al.. (2020). Synaptic mitochondrial dysfunction and septin accumulation are linked to complement-mediated synapse loss in an Alzheimer’s disease animal model. Cellular and Molecular Life Sciences. 77(24). 5243–5258. 50 indexed citations

10.

So, Masatomo, Kenji Sasahara, Yohei Miyanoiri, et al.. (2020). Isoelectric point-amyloid formation of α-synuclein extends the generality of the solubility and supersaturation-limited mechanism. SHILAP Revista de lepidopterología. 2. 35–44. 24 indexed citations

11.

Kovács, Gábor M., Ádám Póti, Attila Reményi, et al.. (2019). High‐throughput competitive fluorescence polarization assay reveals functional redundancy in the S100 protein family. FEBS Journal. 287(13). 2834–2846. 26 indexed citations

12.

Sasahara, Kenji, K. Yamaguchi, Masatomo So, et al.. (2019). Heating during agitation of β2-microglobulin reveals that supersaturation breakdown is required for amyloid fibril formation at neutral pH. Journal of Biological Chemistry. 294(43). 15826–15835. 20 indexed citations

13.

Meißner, Robert H., Jonathan D. Hirst, András Micsonai, et al.. (2019). Impact of the Conformational Variability of Oligopeptides on the Computational Prediction of Their CD Spectra. The Journal of Physical Chemistry B. 123(31). 6694–6704. 6 indexed citations

14.

Horváth, Gergő, László Biczók, Zsuzsa Májer, et al.. (2017). Structural insight into a partially unfolded state preceding aggregation in an intracellular lipid‐binding protein. FEBS Journal. 284(21). 3637–3661. 8 indexed citations

15.

So, Masatomo, Masayuki Adachi, József Kardos, et al.. (2016). Thioflavin T-Silent Denaturation Intermediates Support the Main-Chain-Dominated Architecture of Amyloid Fibrils. Biochemistry. 55(28). 3937–3948. 7 indexed citations

16.

Micsonai, András, Frank Wien, Young‐Ho Lee, et al.. (2015). Accurate secondary structure prediction and fold recognition for circular dichroism spectroscopy. Proceedings of the National Academy of Sciences. 112(24). E3095–103. 1292 indexed citations breakdown →

17.

Hajdú, István, et al.. (2008). Adjustment of conformational flexibility of glyceraldehyde-3-phosphate dehydrogenase as a means of thermal adaptation and allosteric regulation. European Biophysics Journal. 37(7). 1139–1144. 9 indexed citations

18.

Kardos, József, Veronika Harmat, O. Barábas, et al.. (2007). Revisiting the mechanism of the autoactivation of the complement protease C1r in the C1 complex: Structure of the active catalytic region of C1r. Molecular Immunology. 45(6). 1752–1760. 33 indexed citations

19.

Fodor, Krisztián, Veronika Harmat, Csaba Hetényi, et al.. (2005). Extended Intermolecular Interactions in a Serine Protease–Canonical Inhibitor Complex Account for Strong and Highly Specific Inhibition. Journal of Molecular Biology. 350(1). 156–169. 42 indexed citations

20.

Kardos, József, Péter Gál, László Szilágyi, et al.. (2001). The Role of the Individual Domains in the Structure and Function of the Catalytic Region of a Modular Serine Protease, C1r. The Journal of Immunology. 167(9). 5202–5208. 33 indexed citations

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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