Péter Nagy

11.2k total citations
33 papers, 2.0k citations indexed

About

Péter Nagy is a scholar working on Epidemiology, Molecular Biology and Cell Biology. According to data from OpenAlex, Péter Nagy has authored 33 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Epidemiology, 12 papers in Molecular Biology and 11 papers in Cell Biology. Recurrent topics in Péter Nagy's work include Autophagy in Disease and Therapy (16 papers), Invertebrate Immune Response Mechanisms (9 papers) and Endoplasmic Reticulum Stress and Disease (5 papers). Péter Nagy is often cited by papers focused on Autophagy in Disease and Therapy (16 papers), Invertebrate Immune Response Mechanisms (9 papers) and Endoplasmic Reticulum Stress and Disease (5 papers). Péter Nagy collaborates with scholars based in Hungary, United States and United Kingdom. Péter Nagy's co-authors include Gábor Juhász, Krisztina Hegedűs, Ágnes Varga, Karolina Pircs, Szabolcs Takáts, Tibor Kovács, Thomas P. Neufeld, Caroline Mauvezin, Kata Varga and Manuéla Kárpáti and has published in prestigious journals such as Nature Communications, The Journal of Cell Biology and Immunity.

In The Last Decade

Péter Nagy

33 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Péter Nagy Hungary 21 1.2k 697 640 281 280 33 2.0k
Wei‐Pang Huang Taiwan 28 1.8k 1.5× 1.5k 2.1× 1.0k 1.6× 177 0.6× 311 1.1× 43 3.0k
Anne Petiot France 16 1.4k 1.2× 1.2k 1.7× 687 1.1× 287 1.0× 227 0.8× 22 2.3k
Hilla Weidberg Israel 14 1.7k 1.4× 1.3k 1.8× 747 1.2× 311 1.1× 240 0.9× 17 2.5k
Tomer Shpilka Israel 12 1.7k 1.4× 1.3k 1.8× 813 1.3× 300 1.1× 355 1.3× 17 2.7k
Miki Tsukada Germany 13 1.5k 1.2× 1.2k 1.8× 931 1.5× 199 0.7× 150 0.5× 13 2.4k
Hideaki Morishita Japan 18 1.2k 1.0× 969 1.4× 455 0.7× 234 0.8× 160 0.6× 37 2.0k
Alexandra Stolz Germany 18 2.3k 1.9× 1.7k 2.4× 1.4k 2.3× 305 1.1× 354 1.3× 31 3.5k
Sidney Yu Hong Kong 26 421 0.4× 1.1k 1.6× 842 1.3× 122 0.4× 252 0.9× 46 2.1k
Yoko Kimura Japan 20 954 0.8× 2.0k 2.9× 574 0.9× 67 0.2× 249 0.9× 38 2.7k
Taki Nishimura Japan 19 1.2k 1.0× 761 1.1× 748 1.2× 293 1.0× 242 0.9× 27 1.8k

Countries citing papers authored by Péter Nagy

Since Specialization
Citations

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

Fields of papers citing papers by Péter Nagy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Péter Nagy

This figure shows the co-authorship network connecting the top 25 collaborators of Péter Nagy. A scholar is included among the top collaborators of Péter 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 Péter Nagy. Péter 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.
Nagy, Péter & Nicolas Buchon. (2025). Infectious bacteria, but not the microbiota, induce a NOX-ATM-cytokine pathway that controls epithelial turnover. Cell Reports. 44(10). 116293–116293. 1 indexed citations
2.
Yang, Xiaowei, et al.. (2024). The transcriptional response in mosquitoes distinguishes between fungi and bacteria but not Gram types. BMC Genomics. 25(1). 353–353. 6 indexed citations
3.
4.
Liu, Xi, Péter Nagy, Alessandro Bonfini, et al.. (2022). Microbes affect gut epithelial cell composition through immune-dependent regulation of intestinal stem cell differentiation. Cell Reports. 38(13). 110572–110572. 43 indexed citations
5.
Troha, Katia, et al.. (2019). Nephrocytes Remove Microbiota-Derived Peptidoglycan from Systemic Circulation to Maintain Immune Homeostasis. Immunity. 51(4). 625–637.e3. 40 indexed citations
6.
Nagy, Péter, et al.. (2018). Autophagy maintains stem cells and intestinal homeostasis in Drosophila. Scientific Reports. 8(1). 4644–4644. 50 indexed citations
7.
Hegedűs, Krisztina, Szabolcs Takáts, Attila Boda, et al.. (2016). The Ccz1-Mon1-Rab7 module and Rab5 control distinct steps of autophagy. Molecular Biology of the Cell. 27(20). 3132–3142. 155 indexed citations
8.
Varga, Kata, et al.. (2016). Loss of Atg16 delays the alcohol-induced sedation response via regulation of Corazonin neuropeptide production in Drosophila. Scientific Reports. 6(1). 34641–34641. 36 indexed citations
9.
Mauvezin, Caroline, Péter Nagy, Gábor Juhász, & Thomas P. Neufeld. (2015). Autophagosome–lysosome fusion is independent of V-ATPase-mediated acidification. Nature Communications. 6(1). 7007–7007. 313 indexed citations
10.
Nagy, Péter, Ágnes Varga, Tibor Kovács, Szabolcs Takáts, & Gábor Juhász. (2014). How and why to study autophagy in Drosophila: It’s more than just a garbage chute. Methods. 75. 151–161. 83 indexed citations
11.
Takáts, Szabolcs, Karolina Pircs, Péter Nagy, et al.. (2014). Interaction of the HOPS complex with Syntaxin 17 mediates autophagosome clearance inDrosophila. Molecular Biology of the Cell. 25(8). 1338–1354. 202 indexed citations
12.
Nagy, Péter, Manuéla Kárpáti, Ágnes Varga, et al.. (2014). Atg17/FIP200 localizes to perilysosomal Ref(2)P aggregates and promotes autophagy by activation of Atg1 inDrosophila. Autophagy. 10(3). 453–467. 62 indexed citations
13.
Takáts, Szabolcs, Péter Nagy, Ágnes Varga, et al.. (2013). Autophagosomal Syntaxin17-dependent lysosomal degradation maintains neuronal function in Drosophila. The Journal of Cell Biology. 201(4). 531–539. 267 indexed citations
14.
Sourbier, Carole, Bradley T. Scroggins, Ranjala Ratnayake, et al.. (2013). Englerin A Stimulates PKCθ to Inhibit Insulin Signaling and to Simultaneously Activate HSF1: Pharmacologically Induced Synthetic Lethality. Cancer Cell. 23(2). 228–237. 77 indexed citations
15.
Lőw, Péter, Ágnes Varga, Karolina Pircs, et al.. (2013). Impaired proteasomal degradation enhances autophagy via hypoxia signaling in Drosophila. BMC Cell Biology. 14(1). 29–29. 51 indexed citations
16.
Nagy, Péter, Ágnes Varga, Karolina Pircs, Krisztina Hegedűs, & Gábor Juhász. (2013). Myc-Driven Overgrowth Requires Unfolded Protein Response-Mediated Induction of Autophagy and Antioxidant Responses in Drosophila melanogaster. PLoS Genetics. 9(8). e1003664–e1003664. 80 indexed citations
17.
Nagy, Péter, Krisztina Hegedűs, Karolina Pircs, Ágnes Varga, & Gábor Juhász. (2013). Different effects of Atg2 and Atg18 mutations on Atg8a and Atg9 trafficking during starvation in Drosophila. FEBS Letters. 588(3). 408–413. 38 indexed citations
18.
Pircs, Karolina, Péter Nagy, Ágnes Varga, et al.. (2012). Advantages and Limitations of Different p62-Based Assays for Estimating Autophagic Activity in Drosophila. PLoS ONE. 7(8). e44214–e44214. 146 indexed citations
19.
Németh, József, et al.. (2002). Reduction of acute photodamage in skin by topical application of a novel PARP inhibitor. Biochemical Pharmacology. 63(5). 921–932. 42 indexed citations
20.
Nagy, Péter, et al.. (1982). [The effects of cytostatic agents - methotrexate, actinomycin-D and cyclophosphamide - on in vitro metabolism of human placenta from early pregnancy (author's transl)].. PubMed. 186(2). 101–3. 1 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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