Ágnes Juhász

1.8k total citations
55 papers, 1.5k citations indexed

About

Ágnes Juhász is a scholar working on Immunology, Molecular Biology and Physiology. According to data from OpenAlex, Ágnes Juhász has authored 55 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Immunology, 16 papers in Molecular Biology and 13 papers in Physiology. Recurrent topics in Ágnes Juhász's work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (22 papers), Immune cells in cancer (14 papers) and Nitric Oxide and Endothelin Effects (12 papers). Ágnes Juhász is often cited by papers focused on Neutrophil, Myeloperoxidase and Oxidative Mechanisms (22 papers), Immune cells in cancer (14 papers) and Nitric Oxide and Endothelin Effects (12 papers). Ágnes Juhász collaborates with scholars based in United States, Hungary and Ukraine. Ágnes Juhász's co-authors include James H. Doroshow, Krishnendu Roy, Jiamo Lu, Guojian Jiang, Smitha Antony, Yongzhong Wu, Jennifer L. Meitzler, Han Liu, Han Liu and Yun Ge and has published in prestigious journals such as Journal of Biological Chemistry, Blood and The Journal of Immunology.

In The Last Decade

Ágnes Juhász

49 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ágnes Juhász United States 22 703 553 252 219 196 55 1.5k
Jean‐François Jeannin France 19 450 0.6× 481 0.9× 214 0.8× 178 0.8× 239 1.2× 43 1.1k
Ranjini K. Sundaram United States 20 557 0.8× 274 0.5× 172 0.7× 165 0.8× 369 1.9× 45 1.4k
Magdalena Klink Poland 18 456 0.6× 456 0.8× 95 0.4× 166 0.8× 244 1.2× 73 1.2k
Francesca Buricchi Italy 20 1.0k 1.5× 441 0.8× 164 0.7× 242 1.1× 154 0.8× 32 1.7k
Atieh Pourbagheri‐Sigaroodi Iran 22 638 0.9× 285 0.5× 110 0.4× 214 1.0× 277 1.4× 59 1.4k
Masatomo Takahashi Japan 26 901 1.3× 220 0.4× 146 0.6× 156 0.7× 200 1.0× 113 1.8k
Helena Block Germany 20 809 1.2× 523 0.9× 117 0.5× 70 0.3× 130 0.7× 46 1.6k
Sandeep Kumar United States 22 767 1.1× 322 0.6× 88 0.3× 329 1.5× 351 1.8× 62 1.6k

Countries citing papers authored by Ágnes Juhász

Since Specialization
Citations

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

Fields of papers citing papers by Ágnes Juhász

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ágnes Juhász

This figure shows the co-authorship network connecting the top 25 collaborators of Ágnes Juhász. A scholar is included among the top collaborators of Ágnes Juhász 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 Ágnes Juhász. Ágnes Juhász 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.
Juhász, Ágnes. (2020). INTELLIGENT CONTRACTS – A NEW GENERATION OF CONTRACTUAL AGREEMENTS?. Repository of the Academy's Library (Library of the Hungarian Academy of Sciences). 16(1). 41–53.
2.
Lu, Jiamo, Guojian Jiang, Yongzhong Wu, et al.. (2020). NADPH oxidase 1 is highly expressed in human large and small bowel cancers. PLoS ONE. 15(5). e0233208–e0233208. 14 indexed citations
3.
Antony, Smitha, Ágnes Juhász, Guojian Jiang, et al.. (2019). Abstract 876: CD40-induced growth inhibition of Burkitt lymphoma: A possible role for NADPH oxidase by upregulation of p67phox. Cancer Research. 79(13_Supplement). 876–876.
4.
Lu, Jiamo, Prabhakar Risbood, Larry Anderson, et al.. (2017). Characterization of potent and selective iodonium-class inhibitors of NADPH oxidases. Biochemical Pharmacology. 143. 25–38. 25 indexed citations
5.
Meitzler, Jennifer L., Hala R. Makhlouf, Smitha Antony, et al.. (2017). Decoding NADPH oxidase 4 expression in human tumors. Redox Biology. 13. 182–195. 57 indexed citations
6.
7.
Juhász, Ágnes, et al.. (2015). Infection by Fusarium species in dermatomycology. 91(2). 67–71. 1 indexed citations
8.
Meitzler, Jennifer L., Smitha Antony, Yongzhong Wu, et al.. (2013). NADPH Oxidases: A Perspective on Reactive Oxygen Species Production in Tumor Biology. Antioxidants and Redox Signaling. 20(17). 2873–2889. 161 indexed citations
9.
Doroshow, James H., Ágnes Juhász, Yun Ge, et al.. (2012). Antiproliferative mechanisms of action of the flavin dehydrogenase inhibitors diphenylene iodonium and di-2-thienyliodonium based on molecular profiling of the NCI-60 human tumor cell panel. Biochemical Pharmacology. 83(9). 1195–1207. 31 indexed citations
10.
Wu, Yongzhong, Smitha Antony, Ágnes Juhász, et al.. (2011). Up-regulation and Sustained Activation of Stat1 Are Essential for Interferon-γ (IFN-γ)-induced Dual Oxidase 2 (Duox2) and Dual Oxidase A2 (DuoxA2) Expression in Human Pancreatic Cancer Cell Lines. Journal of Biological Chemistry. 286(14). 12245–12256. 58 indexed citations
11.
Sridhar, Srikala S., Christina M. Canil, Kim N., et al.. (2010). A phase II study of the antisense oligonucleotide GTI-2040 plus docetaxel and prednisone as first-line treatment in castration-resistant prostate cancer. Cancer Chemotherapy and Pharmacology. 67(4). 927–933. 21 indexed citations
12.
Scuto, Anna, Mark Kirschbaum, Claudia Kowolik, et al.. (2008). The novel histone deacetylase inhibitor, LBH589, induces expression of DNA damage response genes and apoptosis in Ph− acute lymphoblastic leukemia cells. Blood. 111(10). 5093–5100. 119 indexed citations
13.
Xiao, Gary Guishan, George Somlo, Jana Portnow, et al.. (2008). Identification of F-box/LLR-repeated protein 17 as potential useful biomarker for breast cancer therapy.. PubMed. 5(3-4). 151–60. 12 indexed citations
14.
Shibata, Stephen, Warren Chow, Paul Frankel, et al.. (2006). A phase I study of oxaliplatin in combination with gemcitabine: correlation of clinical outcome with gene expression. Cancer Chemotherapy and Pharmacology. 59(4). 549–557. 3 indexed citations
15.
Juhász, Ágnes, Aikaterini Vassilakos, Helen K. Chew, David R. Gandara, & Yun Yen. (2006). Analysis of ribonucleotide reductase M2 mRNA levels in patient samples after GTI-2040 antisense drug treatment. Oncology Reports. 15(5). 1299–304. 20 indexed citations
16.
17.
Rodin, S. N., Andréi S. Rodin, Ágnes Juhász, & G.P. Holmquist. (2002). Cancerous hyper-mutagenesis in p53 genes is possibly associated with transcriptional bypass of DNA lesions. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 510(1-2). 153–168. 24 indexed citations
18.
Csuka, Orsolya, et al.. (2001). [Genetic marker analysis in head and neck cancer]. PubMed. 45(2). 161–167. 1 indexed citations
19.
O’Connell, Catherine D., et al.. (1998). Development of standard reference materials for diagnosis of p53 mutations: Analysis by slab gel single strand conformation polymorphism. Electrophoresis. 19(2). 164–171. 22 indexed citations
20.
Rácz, Ilona, et al.. (1981). The changes of minor nucleotide content of tRNAPhe of wheat germs (Triticum aestivum) during greening. Plant Science Letters. 21(4). 371–374. 5 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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