András Zeke

2.2k total citations · 1 hit paper
25 papers, 1.2k citations indexed

About

András Zeke is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, András Zeke has authored 25 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 5 papers in Cell Biology and 3 papers in Oncology. Recurrent topics in András Zeke's work include RNA and protein synthesis mechanisms (7 papers), Protein Structure and Dynamics (5 papers) and Machine Learning in Bioinformatics (4 papers). András Zeke is often cited by papers focused on RNA and protein synthesis mechanisms (7 papers), Protein Structure and Dynamics (5 papers) and Machine Learning in Bioinformatics (4 papers). András Zeke collaborates with scholars based in Hungary, Germany and United States. András Zeke's co-authors include Attila Reményi, Marie A. Bogoyevitch, Mariya Misheva, Wendell A. Lim, Bálint Mészáros, Anita Alexa, László Dobson, Zsuzsanna Dosztányi, Gergő Gógl and János Varga and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

András Zeke

24 papers receiving 1.2k citations

Hit Papers

JNK Signaling: Regulation and Functions Based on Complex ... 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
András Zeke Hungary 13 906 148 120 111 87 25 1.2k
Jessica K. Gagnon United States 10 882 1.0× 130 0.9× 200 1.7× 123 1.1× 87 1.0× 13 1.3k
Patrick Schindler Switzerland 20 1.0k 1.1× 113 0.8× 173 1.4× 145 1.3× 31 0.4× 51 1.6k
Heming Xing United States 17 1.1k 1.3× 176 1.2× 122 1.0× 99 0.9× 52 0.6× 23 1.4k
Paul M. Steed United States 14 853 0.9× 233 1.6× 155 1.3× 202 1.8× 77 0.9× 21 1.4k
Sricharan Bandhakavi United States 19 1.6k 1.8× 206 1.4× 123 1.0× 149 1.3× 41 0.5× 25 2.2k
Konstantin Denessiouk Finland 24 1.2k 1.3× 158 1.1× 149 1.2× 159 1.4× 101 1.2× 57 1.6k
Farrell MacKenzie Canada 20 1.4k 1.6× 194 1.3× 263 2.2× 117 1.1× 46 0.5× 20 1.9k
Rana Anjum India 12 1.0k 1.1× 195 1.3× 179 1.5× 114 1.0× 31 0.4× 20 1.4k
Patrick Fadden United States 13 1.4k 1.6× 264 1.8× 119 1.0× 182 1.6× 61 0.7× 21 1.7k
Jill S. Gregory United States 12 968 1.1× 191 1.3× 143 1.2× 88 0.8× 91 1.0× 15 1.3k

Countries citing papers authored by András Zeke

Since Specialization
Citations

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

Fields of papers citing papers by András Zeke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of András Zeke

This figure shows the co-authorship network connecting the top 25 collaborators of András Zeke. A scholar is included among the top collaborators of András Zeke 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 András Zeke. András Zeke 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
1.
Zeke, András, Anita Alexa, & Attila Reményi. (2024). Discovery and Characterization of Linear Motif Mediated Protein-Protein Complexes. Advances in experimental medicine and biology. 3234. 59–71.
2.
Zeke, András, Toby J. Gibson, & László Dobson. (2024). Linear motifs regulating protein secretion, sorting and autophagy in Leishmania parasites are diverged with respect to their host equivalents. PLoS Computational Biology. 20(2). e1011902–e1011902. 2 indexed citations
3.
Tusnády, Gábor, András Zeke, Zsófia E. Kálmán, et al.. (2023). LeishMANIAdb: a comparative resource for Leishmania proteins. Database. 2023. 2 indexed citations
4.
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
5.
Dobson, László, et al.. (2023). UniTmp: unified resources for transmembrane proteins. Nucleic Acids Research. 52(D1). D572–D578. 11 indexed citations
6.
Gógl, Gergő, A. Cousido-Siah, Bastien Morlet, et al.. (2022). Quantitative fragmentomics allow affinity mapping of interactomes. Nature Communications. 13(1). 5472–5472. 25 indexed citations
7.
Dobson, László, et al.. (2022). TmAlphaFold database: membrane localization and evaluation of AlphaFold2 predicted alpha-helical transmembrane protein structures. Nucleic Acids Research. 51(D1). D517–D522. 44 indexed citations
8.
Zeke, András, Tamás Takács, Krisztina Németh, et al.. (2022). Structural insights into the pSer/pThr dependent regulation of the SHP2 tyrosine phosphatase in insulin and CD28 signaling. Nature Communications. 13(1). 5439–5439. 6 indexed citations
9.
Zeke, András, et al.. (2022). Systematic Discovery of FBXW7-Binding Phosphodegrons Highlights Mitogen-Activated Protein Kinases as Important Regulators of Intracellular Protein Levels. International Journal of Molecular Sciences. 23(6). 3320–3320. 8 indexed citations
10.
Michael, Sushama, Bálint Mészáros, Hugo Sámano‐Sánchez, et al.. (2021). The Eukaryotic Linear Motif resource: 2022 release. Nucleic Acids Research. 50(D1). D497–D508. 153 indexed citations
11.
Róna, Gergely, András Zeke, Maren de Vries, et al.. (2021). The NSP14/NSP10 RNA repair complex as a Pan-coronavirus therapeutic target. Cell Death and Differentiation. 29(2). 285–292. 38 indexed citations
12.
Mészáros, Bálint, et al.. (2021). Mutations of Intrinsically Disordered Protein Regions Can Drive Cancer but Lack Therapeutic Strategies. Biomolecules. 11(3). 381–381. 35 indexed citations
13.
Zeke, András, Orsolya Tőke, Ashish Sethi, et al.. (2020). Co-regulation of the transcription controlling ATF2 phosphoswitch by JNK and p38. Nature Communications. 11(1). 5769–5769. 39 indexed citations
14.
Pajkos, Mátyás, András Zeke, & Zsuzsanna Dosztányi. (2020). Ancient Evolutionary Origin of Intrinsically Disordered Cancer Risk Regions. Biomolecules. 10(8). 1115–1115. 9 indexed citations
15.
Zeke, András, et al.. (2020). PolarProtDb: A Database of Transmembrane and Secreted Proteins showing Apical-Basal Polarity. Journal of Molecular Biology. 433(11). 166705–166705. 4 indexed citations
16.
Róna, Gergely, Domenico Roberti, Yandong Yin, et al.. (2018). PARP1-dependent recruitment of the FBXL10-RNF68-RNF2 ubiquitin ligase to sites of DNA damage controls H2A.Z loading. eLife. 7. 38 indexed citations
17.
Alexa, Anita, Gergő Gógl, Gábor Glatz, et al.. (2015). Structural assembly of the signaling competent ERK2–RSK1 heterodimeric protein kinase complex. Proceedings of the National Academy of Sciences. 112(9). 2711–2716. 25 indexed citations
18.
Zeke, András, Anita Alexa, Bálint Mészáros, et al.. (2015). Systematic discovery of linear binding motifs targeting an ancient protein interaction surface on MAP kinases. Molecular Systems Biology. 11(11). 837–837. 48 indexed citations
19.
Zeke, András, Gergő Gógl, I Törö, et al.. (2012). Specificity of Linear Motifs That Bind to a Common Mitogen-Activated Protein Kinase Docking Groove. Science Signaling. 5(245). ra74–ra74. 133 indexed citations
20.
Zeke, András, et al.. (2009). Scaffolds: interaction platforms for cellular signalling circuits. Trends in Cell Biology. 19(8). 364–374. 116 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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