Gábor Erdős

3.3k total citations · 2 hit papers
15 papers, 1.7k citations indexed

About

Gábor Erdős is a scholar working on Molecular Biology, Materials Chemistry and Spectroscopy. According to data from OpenAlex, Gábor Erdős has authored 15 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Materials Chemistry and 3 papers in Spectroscopy. Recurrent topics in Gábor Erdős's work include Protein Structure and Dynamics (9 papers), Enzyme Structure and Function (5 papers) and RNA and protein synthesis mechanisms (4 papers). Gábor Erdős is often cited by papers focused on Protein Structure and Dynamics (9 papers), Enzyme Structure and Function (5 papers) and RNA and protein synthesis mechanisms (4 papers). Gábor Erdős collaborates with scholars based in Hungary, Italy and Germany. Gábor Erdős's co-authors include Zsuzsanna Dosztányi, Bálint Mészáros, Mátyás Pajkos, Silvio C. E. Tosatto, Éva Schád, Márton Kovács, Péter Tompa, Ágnes Tantos, Tamás Horváth and Nikoletta Murvai and has published in prestigious journals such as Nucleic Acids Research, Journal of Molecular Biology and Scientific Reports.

In The Last Decade

Gábor Erdős

15 papers receiving 1.7k citations

Hit 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.

IUPred2A: context-dependent prediction of protein disorder as a function of redox state and protein binding

2018 934 citations Bálint Mészáros, Gábor Erdős et al. Nucleic Acids Research profile →
IUPred3: prediction of protein disorder enhanced with unambiguous experimental annotation and visualization of evolutionary conservation

2021 320 citations Gábor Erdős, Mátyás Pajkos et al. Nucleic Acids Research profile →

Peers

Gábor Erdős

GENET

Bora Uyar Germany

Rita Pancsa Hungary

Federico Minneci United Kingdom

Lucía B. Chemes Argentina

J. Basquin Germany

Yu‐He Liang China

Nora Cronin United Kingdom

Kim Van Roey Germany

Adrian W.R. Serohijos United States

S.D. Weeks Belgium

Bora Uyar Germany

Gábor Erdős

1.6k ×1.1

159 ×1.0

202 ×1.3

121 ×0.9

173 ×1.3

GENET

Citations per year, relative to Gábor Erdős Gábor Erdős (= 1×) peers Bora Uyar

Countries citing papers authored by Gábor Erdős

Since Specialization

Citations

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

Fields of papers citing papers by Gábor Erdős

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gábor Erdős

This figure shows the co-authorship network connecting the top 25 collaborators of Gábor Erdős. A scholar is included among the top collaborators of Gábor Erdős 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 Erdős. Gábor Erdős is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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15 of 15 papers shown

Erdős, Gábor, et al.. (2025). AIUPred – Binding: Energy Embedding to Identify Disordered Binding Regions. Journal of Molecular Biology. 437(15). 169071–169071. 3 indexed citations

Erdős, Gábor & Zsuzsanna Dosztányi. (2024). Deep learning for intrinsically disordered proteins: From improved predictions to deciphering conformational ensembles. Current Opinion in Structural Biology. 89. 102950–102950. 8 indexed citations

Erdős, Gábor & Zsuzsanna Dosztányi. (2024). AIUPred: combining energy estimation with deep learning for the enhanced prediction of protein disorder. Nucleic Acids Research. 52(W1). W176–W181. 34 indexed citations

Kurgan, Lukasz, Gang Hu, Kui Wang, et al.. (2023). Tutorial: a guide for the selection of fast and accurate computational tools for the prediction of intrinsic disorder in proteins. Nature Protocols. 18(11). 3157–3172. 21 indexed citations

Pajkos, Mátyás, Gábor Erdős, & Zsuzsanna Dosztányi. (2023). The Origin of Discrepancies between Predictions and Annotations in Intrinsically Disordered Proteins. Biomolecules. 13(10). 1442–1442. 4 indexed citations

Szaniszló, Tamás, Mátyás Pajkos, Gábor Erdős, et al.. (2022). The interaction between LC8 and LCA5 reveals a novel oligomerization function of LC8 in the ciliary-centrosome system. Scientific Reports. 12(1). 15623–15623. 2 indexed citations

Pajkos, Mátyás, et al.. (2022). DisCanVis: Visualizing integrated structural and functional annotations to better understand the effect of cancer mutations located within disordered proteins. Protein Science. 32(1). e4522–e4522. 2 indexed citations

Erdős, Gábor, Mátyás Pajkos, & Zsuzsanna Dosztányi. (2021). IUPred3: prediction of protein disorder enhanced with unambiguous experimental annotation and visualization of evolutionary conservation. Nucleic Acids Research. 49(W1). W297–W303. 320 indexed citations breakdown →

Erdős, Gábor, Hedvig Tordai, Rita Padányi, et al.. (2020). The MemMoRF database for recognizing disordered protein regions interacting with cellular membranes. Nucleic Acids Research. 49(D1). D355–D360. 8 indexed citations

10.

Erdős, Gábor & Zsuzsanna Dosztányi. (2020). Analyzing Protein Disorder with IUPred2A. Current Protocols in Bioinformatics. 70(1). e99–e99. 214 indexed citations

11.

Erdős, Gábor, Pablo Mier, Gregorio Alanis‐Lobato, et al.. (2020). Evolutionary Study of Disorder in Protein Sequences. Biomolecules. 10(10). 1413–1413. 19 indexed citations

12.

Mészáros, Bálint, Gábor Erdős, Beáta Szabó, et al.. (2019). PhaSePro: the database of proteins driving liquid–liquid phase separation. Nucleic Acids Research. 48(D1). D360–D367. 138 indexed citations

13.

Erdős, Gábor, Bálint Mészáros, Dana Reichmann, & Zsuzsanna Dosztányi. (2019). Large‐Scale Analysis of Redox‐Sensitive Conditionally Disordered Protein Regions Reveals Their Widespread Nature and Key Roles in High‐Level Eukaryotic Processes. PROTEOMICS. 19(6). e1800070–e1800070. 22 indexed citations

14.

Mészáros, Bálint, Gábor Erdős, & Zsuzsanna Dosztányi. (2018). IUPred2A: context-dependent prediction of protein disorder as a function of redox state and protein binding. Nucleic Acids Research. 46(W1). W329–W337. 934 indexed citations breakdown →

15.

Erdős, Gábor, Tamás Szaniszló, Mátyás Pajkos, et al.. (2017). Novel linear motif filtering protocol reveals the role of the LC8 dynein light chain in the Hippo pathway. PLoS Computational Biology. 13(12). e1005885–e1005885. 19 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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