László Virág

13.6k total citations · 1 hit paper
166 papers, 11.4k citations indexed

About

László Virág is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, László Virág has authored 166 papers receiving a total of 11.4k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Oncology, 52 papers in Molecular Biology and 40 papers in Immunology. Recurrent topics in László Virág's work include PARP inhibition in cancer therapy (69 papers), Cell death mechanisms and regulation (21 papers) and Cardiac electrophysiology and arrhythmias (13 papers). László Virág is often cited by papers focused on PARP inhibition in cancer therapy (69 papers), Cell death mechanisms and regulation (21 papers) and Cardiac electrophysiology and arrhythmias (13 papers). László Virág collaborates with scholars based in Hungary, United States and Poland. László Virág's co-authors include Csaba Szabó, Andrew L. Salzman, Éva Szabó, Pál Gergely, Péter Bai, György Haskó, Jon G. Mabley, Lucas Liaudet, Francisco García Soriano and Pál Pacher and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

László Virág

164 papers receiving 11.2k citations

Hit Papers

The Therapeutic Potential of Poly(ADP-Ribose) Polymerase ... 2002 2026 2010 2018 2002 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
László Virág Hungary 57 4.3k 3.9k 2.0k 1.5k 1.5k 166 11.4k
Andrew L. Salzman United States 67 4.3k 1.0× 3.0k 0.8× 2.8k 1.4× 3.4k 2.3× 1.2k 0.8× 199 13.9k
Edwin K. Jackson United States 71 5.8k 1.3× 2.2k 0.6× 2.7k 1.4× 2.4k 1.6× 4.5k 3.1× 502 19.4k
Basilia Zingarelli United States 58 4.1k 1.0× 1.9k 0.5× 2.6k 1.3× 2.4k 1.6× 365 0.2× 212 11.2k
Jon G. Mabley United States 51 1.9k 0.4× 1.8k 0.5× 1.1k 0.6× 1.1k 0.8× 1.0k 0.7× 85 6.7k
Wan‐Wan Lin Taiwan 53 5.0k 1.2× 1.7k 0.4× 2.9k 1.4× 995 0.7× 505 0.3× 211 10.7k
György Haskó United States 82 5.6k 1.3× 2.3k 0.6× 4.7k 2.3× 2.2k 1.5× 6.6k 4.5× 231 21.3k
Josef Anrather United States 64 5.5k 1.3× 671 0.2× 3.0k 1.5× 2.5k 1.7× 647 0.4× 126 15.4k
Josef Pfeilschifter Germany 79 11.8k 2.7× 2.0k 0.5× 4.8k 2.4× 4.6k 3.1× 885 0.6× 544 24.4k
Peiqing Liu China 60 6.3k 1.5× 982 0.3× 1.4k 0.7× 1.4k 0.9× 310 0.2× 322 11.9k
Yang Yang China 73 9.7k 2.3× 1.7k 0.4× 2.6k 1.3× 2.2k 1.5× 349 0.2× 595 19.4k

Countries citing papers authored by László Virág

Since Specialization
Citations

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

Fields of papers citing papers by László Virág

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of László Virág

This figure shows the co-authorship network connecting the top 25 collaborators of László Virág. A scholar is included among the top collaborators of László Virág 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 László Virág. László Virág 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.
Regdon, Zsolt, Anett Mázló, Attila Bácsi, et al.. (2024). PARP14 Contributes to the Development of the Tumor-Associated Macrophage Phenotype. International Journal of Molecular Sciences. 25(7). 3601–3601. 6 indexed citations
2.
Hajnády, Zoltán, Máté Demény, Katalin Kovács, et al.. (2022). OGG1 Inhibition Reduces Acinar Cell Injury in a Mouse Model of Acute Pancreatitis. Biomedicines. 10(10). 2543–2543. 2 indexed citations
3.
Hajnády, Zoltán, Zsolt Regdon, Máté Demény, et al.. (2022). Tricetin Reduces Inflammation and Acinar Cell Injury in Cerulein-Induced Acute Pancreatitis: The Role of Oxidative Stress-Induced DNA Damage Signaling. Biomedicines. 10(6). 1371–1371. 9 indexed citations
4.
Pallagi, Petra, Róbert Király, Eszter Csoma, et al.. (2021). Caspase‐9 acts as a regulator of necroptotic cell death. FEBS Journal. 288(22). 6476–6491. 23 indexed citations
5.
Regdon, Zsolt, et al.. (2021). NMNAT1 Is a Survival Factor in Actinomycin D-Induced Osteosarcoma Cell Death. International Journal of Molecular Sciences. 22(16). 8869–8869. 5 indexed citations
6.
Hajnády, Zoltán, Edina Bakondi, Zsolt Regdon, et al.. (2021). Poly(ADP-Ribose) Polymerase 1 Promotes Inflammation and Fibrosis in a Mouse Model of Chronic Pancreatitis. International Journal of Molecular Sciences. 22(7). 3593–3593. 14 indexed citations
7.
Torma, Ferenc, Zsolt Regdon, Zoltán Gombos, et al.. (2021). Blood flow restriction during the resting periods of high-intensity resistance training does not alter performance but decreases MIR-1 and MIR-133A levels in human skeletal muscle. Sports Medicine and Health Science. 3(1). 40–45. 5 indexed citations
9.
Bakondi, Edina, Zoltán Hajnády, Zsolt Regdon, et al.. (2019). Spilanthol Inhibits Inflammatory Transcription Factors and iNOS Expression in Macrophages and Exerts Anti-inflammatory Effects in Dermatitis and Pancreatitis. International Journal of Molecular Sciences. 20(17). 4308–4308. 30 indexed citations
11.
Virág, László, József Kovács, & A. Edelmayer. (2013). Interacting advanced ITS communications with low-power sensor networks. Journal of Wireless Mobile Networks Ubiquitous Computing and Dependable Applications. 4(3). 79–96. 3 indexed citations
12.
Davies, Sharon, et al.. (2013). Oral choline supplementation for postoperative pain. British Journal of Anaesthesia. 111(2). 249–255. 8 indexed citations
13.
Whittington, Robert A., Alexis Bretteville, László Virág, et al.. (2013). Anesthesia-induced hypothermia mediates decreased ARC gene and protein expression through ERK/MAPK inactivation. Scientific Reports. 3(1). 1388–1388. 27 indexed citations
14.
Liaudet, Lucas, Pál Pacher, Jon G. Mabley, et al.. (2002). Activation of Poly(ADP-Ribose) Polymerase-1 Is a Central Mechanism of Lipopolysaccharide-Induced Acute Lung Inflammation. American Journal of Respiratory and Critical Care Medicine. 165(3). 372–377. 174 indexed citations
15.
Кirov, М. Yu., Oleg V. Evgenov, В. Н. Куклин, et al.. (2002). Aerosolized Linear Polyethylenimine-Nitric Oxide/Nucleophile Adduct Attenuates Endotoxin-induced Lung Injury in Sheep. American Journal of Respiratory and Critical Care Medicine. 166(11). 1436–1442. 7 indexed citations
17.
Haskó, György, David G. Kuhel, Zoltán Németh, et al.. (2000). Inosine Inhibits Inflammatory Cytokine Production by a Posttranscriptional Mechanism and Protects Against Endotoxin-Induced Shock. The Journal of Immunology. 164(2). 1013–1019. 280 indexed citations
18.
Varró, András, Norbert Iost, J. Takács, et al.. (2000). The role of the delayed rectifier component IKs in dog ventricular muscle and Purkinje fibre repolarization. The Journal of Physiology. 523(1). 67–81. 190 indexed citations
19.
Virág, László, Daniel J. Marmer, & Csaba Szabó. (1998). Crucial role of apopain in the peroxynitrite-induced apoptotic DNA fragmentation. Free Radical Biology and Medicine. 25(9). 1075–1082. 68 indexed citations
20.
Vulliemoz, Yvonne, et al.. (1996). Alpha-2 Adrenoceptor Agonists Decrease Cyclic Guanosine 3',5'-Monophosphate in the Mouse Brain. Anesthesiology. 85(3). 544–550.. 18 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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