Mihály Váradi

22.6k total citations · 1 hit paper
38 papers, 947 citations indexed

About

Mihály Váradi is a scholar working on Molecular Biology, Materials Chemistry and Astronomy and Astrophysics. According to data from OpenAlex, Mihály Váradi has authored 38 papers receiving a total of 947 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 13 papers in Materials Chemistry and 11 papers in Astronomy and Astrophysics. Recurrent topics in Mihály Váradi's work include Protein Structure and Dynamics (16 papers), Enzyme Structure and Function (13 papers) and Stellar, planetary, and galactic studies (11 papers). Mihály Váradi is often cited by papers focused on Protein Structure and Dynamics (16 papers), Enzyme Structure and Function (13 papers) and Stellar, planetary, and galactic studies (11 papers). Mihály Váradi collaborates with scholars based in United Kingdom, Hungary and Belgium. Mihály Váradi's co-authors include Péter Tompa, Sameer Velankar, Mainak Guharoy, Wim Vranken, Rita Pancsa, Isabella C. Felli, Roberta Pierattelli, Inigo Barrio‐Hernandez, Pedro Beltrão and Cameron L. M. Gilchrist and has published in prestigious journals such as Nature, Nucleic Acids Research and Bioinformatics.

In The Last Decade

Mihály Váradi

37 papers receiving 941 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.

Clustering predicted structures at the scale of the known protein universe

2023 160 citations Inigo Barrio‐Hernandez, Jürgen Jänes et al. Nature profile →

Peers

Mihály Váradi

CTM

SPECT

Shiwei Sun China

Kota Kasahara Japan

Andrew Harrison United Kingdom

Allison Doerr United States

Eric de Silva United Kingdom

Fabrizio Pucci Belgium

Rachel Kolodny Israel

Alpan Raval United States

Luis A. Campos Spain

Xiakun Chu United States

Shiwei Sun China

Mihály Váradi

837 ×1.2

46 ×0.2

25 ×0.2

133 ×1.8

CTM

87 ×1.1

SPECT

Citations per year, relative to Mihály Váradi Mihály Váradi (= 1×) peers Shiwei Sun

Countries citing papers authored by Mihály Váradi

Since Specialization

Citations

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

Fields of papers citing papers by Mihály Váradi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mihály Váradi

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Choudhary, Preeti, Zukang Feng, John M. Berrisford, et al.. (2024). PDB NextGen Archive: centralizing access to integrated annotations and enriched structural information by the Worldwide Protein Data Bank. Database. 2024. 6 indexed citations

Barrio‐Hernandez, Inigo, Jürgen Jänes, Milot Mirdita, et al.. (2023). Clustering predicted structures at the scale of the known protein universe. Nature. 622(7983). 637–645. 160 indexed citations breakdown →

Berrisford, John M., Romana Gáborová, Sreenath Nair, et al.. (2023). Annotating Macromolecular Complexes in the Protein Data Bank: Improving the FAIRness of Structure Data. Scientific Data. 10(1). 853–853. 1 indexed citations

Choudhary, Preeti, Stephen Anyango, John M. Berrisford, et al.. (2023). Unified access to up-to-date residue-level annotations from UniProtKB and other biological databases for PDB data. Scientific Data. 10(1). 204–204. 5 indexed citations

Váradi, Mihály, Nicola Bordin, Christine Orengo, & Sameer Velankar. (2023). The opportunities and challenges posed by the new generation of deep learning-based protein structure predictors. Current Opinion in Structural Biology. 79. 102543–102543. 13 indexed citations

Tordai, Hedvig, et al.. (2022). Comprehensive Collection and Prediction of ABC Transmembrane Protein Structures in the AI Era of Structural Biology. International Journal of Molecular Sciences. 23(16). 8877–8877. 15 indexed citations

Kosol, Simone, Sara Contreras-Martos, Alessandro Piai, et al.. (2020). Interaction between the scaffold proteins CBP by IQGAP1 provides an interface between gene expression and cytoskeletal activity. Scientific Reports. 10(1). 5753–5753. 6 indexed citations

Contreras-Martos, Sara, Alessandro Piai, Simone Kosol, et al.. (2017). Linking functions: an additional role for an intrinsically disordered linker domain in the transcriptional coactivator CBP. Scientific Reports. 7(1). 32 indexed citations

Váradi, Mihály, Greet De Baets, Wim Vranken, Péter Tompa, & Rita Pancsa. (2017). AmyPro: a database of proteins with validated amyloidogenic regions. Nucleic Acids Research. 46(D1). D387–D392. 66 indexed citations

10.

Váradi, Mihály, et al.. (2017). Affinity purification of human m-calpain through an intrinsically disordered inhibitor, calpastatin. PLoS ONE. 12(3). e0174125–e0174125. 6 indexed citations

11.

Piai, Alessandro, et al.. (2016). Just a Flexible Linker? The Structural and Dynamic Properties of CBP-ID4 Revealed by NMR Spectroscopy. Biophysical Journal. 110(2). 372–381. 29 indexed citations

12.

Váradi, Mihály & Péter Tompa. (2015). The Protein Ensemble Database. Advances in experimental medicine and biology. 870. 335–349. 19 indexed citations

13.

Pancsa, Rita, Mihály Váradi, Péter Tompa, & Wim Vranken. (2015). Start2Fold: a database of hydrogen/deuterium exchange data on protein folding and stability. Nucleic Acids Research. 44(D1). D429–D434. 25 indexed citations

14.

Váradi, Mihály, Wim Vranken, Mainak Guharoy, & Péter Tompa. (2015). Computational approaches for inferring the functions of intrinsically disordered proteins. Frontiers in Molecular Biosciences. 2. 45–45. 32 indexed citations

15.

Váradi, Mihály, et al.. (2015). DisCons: a novel tool to quantify and classify evolutionary conservation of intrinsic protein disorder. BMC Bioinformatics. 16(1). 153–153. 22 indexed citations

16.

Váradi, Mihály, et al.. (2015). Functional Advantages of Conserved Intrinsic Disorder in RNA-Binding Proteins. PLoS ONE. 10(10). e0139731–e0139731. 91 indexed citations

17.

Váradi, Mihály, Simone Kosol, Pierre Lebrun, et al.. (2013). pE-DB: a database of structural ensembles of intrinsically disordered and of unfolded proteins. Nucleic Acids Research. 42(D1). D326–D335. 164 indexed citations

18.

Jurcsik, J., et al.. (2005). On the Distribution of the Modulation Amplitudes of Blazhko Type RRab Stars. Information Bulletin on Variable Stars. 5666. 1. 1 indexed citations

19.

Jurcsik, J., B. Szeidl, Mihály Váradi, et al.. (2005). The triple-mode pulsating variable V823 Cassiopeiae. Astronomy and Astrophysics. 445(2). 617–625. 5 indexed citations

20.

Gáspár, Andras, L. L. Kiss, T. R. Bedding, et al.. (2003). The first CCD photometric study of the open cluster\nNGC 2126. Springer Link (Chiba Institute of Technology). 5 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.

Explore authors with similar magnitude of impact