Gábor Nagy

4.6k total citations
75 papers, 3.2k citations indexed

About

Gábor Nagy is a scholar working on Molecular Biology, Endocrinology and Infectious Diseases. According to data from OpenAlex, Gábor Nagy has authored 75 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 31 papers in Endocrinology and 17 papers in Infectious Diseases. Recurrent topics in Gábor Nagy's work include Escherichia coli research studies (30 papers), Antibiotic Resistance in Bacteria (16 papers) and Bacterial Genetics and Biotechnology (14 papers). Gábor Nagy is often cited by papers focused on Escherichia coli research studies (30 papers), Antibiotic Resistance in Bacteria (16 papers) and Bacterial Genetics and Biotechnology (14 papers). Gábor Nagy collaborates with scholars based in Germany, Hungary and Austria. Gábor Nagy's co-authors include Jakob B. Sørensen, Ulrich Dobrindt, Jörg Hacker, Erwin Neher, Levente Emödy, Eszter Nagy, Nils Brose, Ira Milošević, Ralf B. Nehring and Ulf Matti and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Gábor Nagy

73 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gábor Nagy Germany 30 1.8k 924 873 491 458 75 3.2k
Daniel Kalman United States 42 2.5k 1.4× 491 0.5× 602 0.7× 150 0.3× 697 1.5× 80 5.2k
Jonathan J. Ewbank France 43 3.0k 1.7× 329 0.4× 394 0.5× 130 0.3× 265 0.6× 90 6.6k
Bożena Korczak Switzerland 33 2.6k 1.5× 274 0.3× 324 0.4× 158 0.3× 390 0.9× 80 4.4k
Han Remaut Belgium 39 2.7k 1.5× 183 0.2× 970 1.1× 388 0.8× 179 0.4× 93 4.6k
Eric R. Vimr United States 40 3.2k 1.8× 331 0.4× 625 0.7× 193 0.4× 210 0.5× 68 4.8k
William L. Kelley Switzerland 37 3.0k 1.7× 446 0.5× 185 0.2× 355 0.7× 180 0.4× 65 4.2k
Fred Dyda United States 45 5.1k 2.9× 465 0.5× 261 0.3× 457 0.9× 175 0.4× 83 7.1k
Man‐Wah Tan United States 35 2.9k 1.6× 175 0.2× 703 0.8× 527 1.1× 90 0.2× 60 5.8k
Anne H. Delcour United States 28 2.7k 1.5× 119 0.1× 499 0.6× 693 1.4× 450 1.0× 54 4.1k
Yoshinori Akiyama Japan 47 4.4k 2.5× 1.0k 1.1× 547 0.6× 308 0.6× 187 0.4× 168 6.0k

Countries citing papers authored by Gábor Nagy

Since Specialization
Citations

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

Fields of papers citing papers by Gábor Nagy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gábor Nagy

This figure shows the co-authorship network connecting the top 25 collaborators of Gábor Nagy. A scholar is included among the top collaborators of Gábor Nagy 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 Nagy. Gábor Nagy 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.
Morgunova, Ekaterina, Gábor Nagy, Yimeng Yin, et al.. (2025). Interfacial water confers transcription factors with dinucleotide specificity. Nature Structural & Molecular Biology. 32(4). 650–661. 6 indexed citations
2.
Nagy, Gábor, Søren Vrønning Hoffmann, Nykola C. Jones, & Helmut Grubmüller. (2024). Reference Data Set for Circular Dichroism Spectroscopy Comprised of Validated Intrinsically Disordered Protein Models. Applied Spectroscopy. 78(9). 897–911. 5 indexed citations
3.
Csarman, Florian, Gábor Nagy, Stefan Scheiblbrandner, et al.. (2023). Amino Acid Residues Controlling Domain Interaction and Interdomain Electron Transfer in Cellobiose Dehydrogenase. ChemBioChem. 24(22). e202300431–e202300431. 3 indexed citations
4.
Fischhuber, Katrin, Zoltán Bánki, Janine Kimpel, et al.. (2023). Antiviral Potential of Azelastine against Major Respiratory Viruses. Viruses. 15(12). 2300–2300. 2 indexed citations
5.
Kolář, Michal H., et al.. (2022). Folding of VemP into translation-arresting secondary structure is driven by the ribosome exit tunnel. Nucleic Acids Research. 50(4). 2258–2269. 8 indexed citations
6.
Nagy, Gábor, et al.. (2020). Inaccuracies in Circular Dichroism Spectroscopy Based Secondary Structure Estimates. Biophysical Journal. 118(3). 361a–361a. 1 indexed citations
7.
Nagy, Gábor & Helmut Grubmüller. (2020). How accurate is circular dichroism-based model validation?. European Biophysics Journal. 49(6). 497–510. 12 indexed citations
8.
Stulik, Lukas, Jana Hudcova, Donald E. Craven, Gábor Nagy, & Eszter Nagy. (2017). Low Efficacy of Antibiotics Against Staphylococcus aureus Airway Colonization in Ventilated Patients. Clinical Infectious Diseases. 64(8). 1081–1088. 12 indexed citations
9.
10.
Szijártó, Valéria, Luis Miguel Guachalla, Katharina Hartl, et al.. (2015). Both clades of the epidemic KPC-producing Klebsiella pneumoniae clone ST258 share a modified galactan O-antigen type. International Journal of Medical Microbiology. 306(2). 89–98. 47 indexed citations
11.
Németh, Eszter, et al.. (2014). Design of a colicin E7 based chimeric zinc-finger nuclease. Journal of Computer-Aided Molecular Design. 28(8). 841–850. 11 indexed citations
12.
Szijártó, Valéria, et al.. (2014). Diagnostic Potential of Monoclonal Antibodies Specific to the Unique O-Antigen of Multidrug-Resistant Epidemic Escherichia coli Clone ST131-O25b:H4. Clinical and Vaccine Immunology. 21(7). 930–939. 22 indexed citations
13.
Nagy, Gábor, Andreas Otto, Harald Kusch, et al.. (2008). “Gently Rough”: The Vaccine Potential of aSalmonella entericaRegulatory Lipopolysaccharide Mutant. The Journal of Infectious Diseases. 198(11). 1699–1706. 27 indexed citations
14.
Brzuszkiewicz, Elżbieta, Holger Brüggemann, Heiko Liesegang, et al.. (2006). How to become a uropathogen: Comparative genomic analysis of extraintestinal pathogenic Escherichia coli strains. Proceedings of the National Academy of Sciences. 103(34). 12879–12884. 274 indexed citations
15.
Nagy, Gábor, Oliver Knapp, Elke Maier, et al.. (2006). Both α-haemolysin determinants contribute to full virulence of uropathogenic Escherichia coli strain 536. Microbes and Infection. 8(8). 2006–2012. 36 indexed citations
16.
Sørensen, Jakob B., Katrin Wiederhold, Ira Milošević, et al.. (2006). Sequential N‐ to C‐terminal SNARE complex assembly drives priming and fusion of secretory vesicles. The EMBO Journal. 25(5). 955–966. 218 indexed citations
17.
Milošević, Ira, Jakob B. Sørensen, Thorsten Lang, et al.. (2005). Plasmalemmal Phosphatidylinositol-4,5-Bisphosphate Level Regulates the Releasable Vesicle Pool Size in Chromaffin Cells. Journal of Neuroscience. 25(10). 2557–2565. 182 indexed citations
18.
Sørensen, Jakob B., Gábor Nagy, Frédérique Varoqueaux, et al.. (2003). Differential Control of the Releasable Vesicle Pools by SNAP-25 Splice Variants and SNAP-23. Cell. 114(1). 75–86. 276 indexed citations
19.
Nagy, Gábor, et al.. (1977). Simple ion exchange batch technique for detection of IgM antibodies against rubella and flavivirus antigens.. 24(4). 317–321. 4 indexed citations
20.
Nagy, Gábor, et al.. (1977). The use of ion exchange chromatography for demonstration of rubella-specific IgM antibodies.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 24(3). 189–94. 7 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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