Gergő Gógl

1.3k total citations
42 papers, 821 citations indexed

About

Gergő Gógl is a scholar working on Molecular Biology, Cell Biology and Computational Theory and Mathematics. According to data from OpenAlex, Gergő Gógl has authored 42 papers receiving a total of 821 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 18 papers in Cell Biology and 5 papers in Computational Theory and Mathematics. Recurrent topics in Gergő Gógl's work include Protein Kinase Regulation and GTPase Signaling (11 papers), Hippo pathway signaling and YAP/TAZ (10 papers) and S100 Proteins and Annexins (9 papers). Gergő Gógl is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (11 papers), Hippo pathway signaling and YAP/TAZ (10 papers) and S100 Proteins and Annexins (9 papers). Gergő Gógl collaborates with scholars based in Hungary, France and United States. Gergő Gógl's co-authors include Attila Reményi, Anita Alexa, László Nyitray, Gilles Travé, Bence Kiss, I Törö, Pascal Eberling, András Zeke, Nikolai N. Sluchanko and Susan S. Taylor and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Gergő Gógl

42 papers receiving 817 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gergő Gógl Hungary 17 663 191 90 78 61 42 821
Marissa Powers United Kingdom 7 901 1.4× 204 1.1× 101 1.1× 180 2.3× 75 1.2× 14 1.0k
D.E. Dollins United States 11 917 1.4× 348 1.8× 93 1.0× 102 1.3× 57 0.9× 11 1.2k
Wayland Yeung United States 15 607 0.9× 143 0.7× 45 0.5× 91 1.2× 54 0.9× 38 754
Claudia Chica France 11 967 1.5× 85 0.4× 65 0.7× 34 0.4× 79 1.3× 20 1.1k
Elizabeth A. Blackburn United Kingdom 15 433 0.7× 97 0.5× 39 0.4× 52 0.7× 95 1.6× 33 566
Satra Nim Canada 12 538 0.8× 70 0.4× 108 1.2× 44 0.6× 70 1.1× 18 711
Maria Vilenchik United States 11 723 1.1× 86 0.5× 125 1.4× 95 1.2× 133 2.2× 20 931
Mark R. Woodford United States 17 780 1.2× 167 0.9× 71 0.8× 93 1.2× 61 1.0× 45 914
Michele Tinti United Kingdom 16 885 1.3× 116 0.6× 36 0.4× 163 2.1× 64 1.0× 41 1.1k
Sebastian Mathea Germany 18 617 0.9× 237 1.2× 37 0.4× 56 0.7× 148 2.4× 42 922

Countries citing papers authored by Gergő Gógl

Since Specialization
Citations

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

Fields of papers citing papers by Gergő Gógl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gergő Gógl

This figure shows the co-authorship network connecting the top 25 collaborators of Gergő Gógl. A scholar is included among the top collaborators of Gergő Gógl 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 Gergő Gógl. Gergő Gógl 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.
Keskitalo, Salla, Kari Salokas, Norman E. Davey, et al.. (2025). The non-catalytic DNA polymerase ε subunit is an NPF motif recognition protein. Nature Communications. 17(1). 586–586. 1 indexed citations
2.
Delalande, François, Søren Østergaard, Gergő Gógl, et al.. (2025). Holdup Multiplex Assay for High-Throughput Measurement of Protein–Ligand Affinity Constants Using a Mass Spectrometry Readout. Journal of the American Chemical Society. 147(13). 10886–10902. 1 indexed citations
3.
Alexa, Anita, Tı́mea Imre, Krisztina Németh, et al.. (2024). Targeting a key protein-protein interaction surface on mitogen-activated protein kinases by a precision-guided warhead scaffold. Nature Communications. 15(1). 8607–8607. 2 indexed citations
4.
Edelweiss, Evelina, Bastien Morlet, Luc Négroni, et al.. (2024). Uncovering the BIN1-SH3 interactome underpinning centronuclear myopathy. eLife. 13. 3 indexed citations
5.
Gógl, Gergő, S. Betzi, A. Cousido-Siah, et al.. (2023). PDZome-wide and structural characterization of the PDZ-binding motif of VANGL2. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1872(3). 140989–140989. 1 indexed citations
6.
Gógl, Gergő, Bastien Morlet, Pascal Eberling, et al.. (2023). Comparative analysis of PDZ‐binding motifs in the diacylglycerol kinase family. FEBS Journal. 291(4). 690–704. 4 indexed citations
7.
Gógl, Gergő, et al.. (2023). Molecules interact. But how strong and how much?. BioEssays. 45(6). e2300007–e2300007. 3 indexed citations
8.
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
9.
Morlet, Bastien, et al.. (2022). Native holdup (nHU) to measure binding affinities from cell extracts. Science Advances. 8(51). eade3828–eade3828. 7 indexed citations
10.
Caillet‐Saguy, Célia, Veronica V. Rezelj, Gergő Gógl, et al.. (2021). Host PDZ‐containing proteins targeted by SARS‐CoV‐2. FEBS Journal. 288(17). 5148–5162. 47 indexed citations
11.
Gógl, Gergő, Virginie Girault, Célia Caillet‐Saguy, et al.. (2020). Interactomic affinity profiling by holdup assay: Acetylation and distal residues impact the PDZome-binding specificity of PTEN phosphatase. PLoS ONE. 15(12). e0244613–e0244613. 10 indexed citations
12.
Gógl, Gergő, A. Cousido-Siah, Murielle Masson, et al.. (2020). Structure of High-Risk Papillomavirus 31 E6 Oncogenic Protein and Characterization of E6/E6AP/p53 Complex Formation. Journal of Virology. 95(2). 20 indexed citations
13.
Förster, Anne, Gergő Gógl, Pascal Eberling, et al.. (2020). Benchtop holdup assay for quantitative affinity-based analysis of sequence determinants of protein-motif interactions. Analytical Biochemistry. 603. 113772–113772. 8 indexed citations
14.
Gógl, Gergő, Jožica Dolenc, Judit Ősz, et al.. (2020). Conformational editing of intrinsically disordered protein by α-methylation. Chemical Science. 12(3). 1080–1089. 10 indexed citations
15.
16.
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
17.
Gógl, Gergő, Beáta Biri‐Kovács, Yves Nominé, et al.. (2019). Rewiring of RSK–PDZ Interactome by Linear Motif Phosphorylation. Journal of Molecular Biology. 431(6). 1234–1249. 22 indexed citations
18.
Billington, Neil, Gergő Gógl, Bence Kiss, et al.. (2018). Multiple S100 protein isoforms and C-terminal phosphorylation contribute to the paralog-selective regulation of nonmuscle myosin 2 filaments. Journal of Biological Chemistry. 293(38). 14850–14867. 15 indexed citations
19.
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
20.
Gógl, Gergő, I Törö, & Attila Reményi. (2013). Protein–peptide complex crystallization: a case study on the ERK2 mitogen-activated protein kinase. Acta Crystallographica Section D Biological Crystallography. 69(3). 486–489. 16 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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