Miklós Csala

3.1k total citations
93 papers, 2.5k citations indexed

About

Miklós Csala is a scholar working on Molecular Biology, Cell Biology and Nutrition and Dietetics. According to data from OpenAlex, Miklós Csala has authored 93 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 31 papers in Cell Biology and 17 papers in Nutrition and Dietetics. Recurrent topics in Miklós Csala's work include Endoplasmic Reticulum Stress and Disease (24 papers), Vitamin C and Antioxidants Research (15 papers) and Hormonal Regulation and Hypertension (11 papers). Miklós Csala is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (24 papers), Vitamin C and Antioxidants Research (15 papers) and Hormonal Regulation and Hypertension (11 papers). Miklós Csala collaborates with scholars based in Hungary, Italy and United Kingdom. Miklós Csala's co-authors include Gábor Bánhegyi, József Mandl, Angelo Benedetti, Éva Margittai, László Braun, Ferenc Puskás, Péter Szelényi, Éva Kereszturi, Veronika Zámbó and Rosella Fulceri and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Miklós Csala

92 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Miklós Csala Hungary 28 1.1k 677 417 397 320 93 2.5k
József Mandl Hungary 33 1.3k 1.2× 715 1.1× 481 1.2× 384 1.0× 288 0.9× 108 3.0k
Gábor Bánhegyi Hungary 35 1.3k 1.2× 883 1.3× 411 1.0× 689 1.7× 517 1.6× 99 3.4k
Rosella Fulceri Italy 34 1.5k 1.3× 519 0.8× 312 0.7× 191 0.5× 358 1.1× 88 3.0k
Gábor Bánhegyi Hungary 27 1.0k 1.0× 490 0.7× 486 1.2× 240 0.6× 84 0.3× 70 2.3k
Yukiko Minamiyama Japan 28 888 0.8× 305 0.5× 247 0.6× 282 0.7× 151 0.5× 101 2.9k
Stephen S.M. Chung Hong Kong 27 1.2k 1.1× 698 1.0× 207 0.5× 152 0.4× 445 1.4× 44 2.9k
Hossein Niknahad Iran 34 568 0.5× 425 0.6× 292 0.7× 350 0.9× 141 0.4× 126 2.9k
Patrick C. Choy Canada 30 1.5k 1.4× 280 0.4× 270 0.6× 267 0.7× 227 0.7× 107 2.7k
Semra Doğru‐Abbasoğlu Türkiye 29 616 0.6× 247 0.4× 260 0.6× 261 0.7× 316 1.0× 119 2.3k
Odile Sergent France 28 1.4k 1.3× 315 0.5× 233 0.6× 307 0.8× 99 0.3× 69 3.0k

Countries citing papers authored by Miklós Csala

Since Specialization
Citations

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

Fields of papers citing papers by Miklós Csala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miklós Csala

This figure shows the co-authorship network connecting the top 25 collaborators of Miklós Csala. A scholar is included among the top collaborators of Miklós Csala 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 Miklós Csala. Miklós Csala 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.
Zámbó, Veronika, Péter Szelényi, Viola Tamási, et al.. (2024). Allele-specific effect of various dietary fatty acids and ETS1 transcription factor on SCD1 expression. Scientific Reports. 14(1). 24–28. 3 indexed citations
2.
Varga, Attila, et al.. (2023). Novel Erlotinib–Chalcone Hybrids Diminish Resistance in Head and Neck Cancer by Inducing Multiple Cell Death Mechanisms. International Journal of Molecular Sciences. 24(4). 3456–3456. 4 indexed citations
3.
Németh, Krisztína, Blanka Tóth, Éva Kereszturi, et al.. (2023). High fat diet and PCSK9 knockout modulates lipid profile of the liver and changes the expression of lipid homeostasis related genes. Nutrition & Metabolism. 20(1). 19–19. 10 indexed citations
4.
Krenács, Tibor, et al.. (2023). MEK Is a Potential Indirect Target in Subtypes of Head and Neck Cancers. International Journal of Molecular Sciences. 24(3). 2782–2782. 3 indexed citations
5.
Zámbó, Veronika, et al.. (2023). Molecular Basis of Unequal Alternative Splicing of Human SCD5 and Its Alteration by Natural Genetic Variations. International Journal of Molecular Sciences. 24(7). 6517–6517.
6.
Tamási, Viola, Krisztína Németh, & Miklós Csala. (2023). Role of Extracellular Vesicles in Liver Diseases. Life. 13(5). 1117–1117. 11 indexed citations
7.
8.
Zámbó, Veronika, Ede Birtalan, Tibor Krenács, et al.. (2019). The Potential Impact of Connexin 43 Expression on Bcl-2 Protein Level and Taxane Sensitivity in Head and Neck Cancers–In Vitro Studies. Cancers. 11(12). 1848–1848. 8 indexed citations
9.
Csala, Miklós, et al.. (2019). BGP-15 Protects Mitochondria in Acute, Acetaminophen Overdose Induced Liver Injury. Pathology & Oncology Research. 26(3). 1797–1803. 5 indexed citations
10.
Csala, Miklós, Tamás Kardon, Balázs Legeza, et al.. (2015). On the role of 4-hydroxynonenal in health and disease. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1852(5). 826–838. 199 indexed citations
11.
Simon‐Szabó, Laura, et al.. (2014). Metformin Attenuates Palmitate-Induced Endoplasmic Reticulum Stress, Serine Phosphorylation of IRS-1 and Apoptosis in Rat Insulinoma Cells. PLoS ONE. 9(6). e97868–e97868. 78 indexed citations
12.
Lizák, Beáta, Szilvia K. Nagy, Tamás Mészáros, et al.. (2013). Natural mutations lead to enhanced proteasomal degradation of human Ncb5or, a novel flavoheme reductase. Biochimie. 95(7). 1403–1410. 7 indexed citations
13.
14.
Senesi, Silvia, Miklós Csala, Paola Marcolongo, et al.. (2009). Hexose-6-phosphate dehydrogenase in the endoplasmic reticulum. Biological Chemistry. 391(1). 1–8. 46 indexed citations
15.
Gamberucci, Alessandra, Éva Margittai, J. Mandl, et al.. (2008). Endoplasmic reticulum stress underlying the pro-apoptotic effect of epigallocatechin gallate in mouse hepatoma cells. The International Journal of Biochemistry & Cell Biology. 41(3). 694–700. 26 indexed citations
16.
Bánhegyi, Gábor, József Mandl, & Miklós Csala. (2008). Redox‐based endoplasmic reticulum dysfunction in neurological diseases. Journal of Neurochemistry. 107(1). 20–34. 38 indexed citations
17.
Csala, Miklós, Paola Marcolongo, Beáta Lizák, et al.. (2007). Transport and transporters in the endoplasmic reticulum. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1768(6). 1325–1341. 45 indexed citations
18.
Margittai, Éva, Gábor Bánhegyi, András Kiss, et al.. (2005). Scurvy Leads to Endoplasmic Reticulum Stress and Apoptosis in the Liver of Guinea Pigs1. Journal of Nutrition. 135(11). 2530–2534. 26 indexed citations
19.
Piccirella, Simona, Beáta Lizák, Éva Margittai, et al.. (2005). Uncoupled Redox Systems in the Lumen of the Endoplasmic Reticulum. Journal of Biological Chemistry. 281(8). 4671–4677. 72 indexed citations
20.
Szarka, András, Krisztián Stadler, Veronika Jenei, et al.. (2002). Ascorbyl Free Radical and Dehydroascorbate Formation in Rat Liver Endoplasmic Reticulum. Journal of Bioenergetics and Biomembranes. 34(4). 317–323. 33 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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