Gábor Nyírő

833 total citations
38 papers, 630 citations indexed

About

Gábor Nyírő is a scholar working on Surgery, Molecular Biology and Cancer Research. According to data from OpenAlex, Gábor Nyírő has authored 38 papers receiving a total of 630 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Surgery, 13 papers in Molecular Biology and 12 papers in Cancer Research. Recurrent topics in Gábor Nyírő's work include Adrenal and Paraganglionic Tumors (10 papers), Hormonal Regulation and Hypertension (7 papers) and Cancer, Hypoxia, and Metabolism (7 papers). Gábor Nyírő is often cited by papers focused on Adrenal and Paraganglionic Tumors (10 papers), Hormonal Regulation and Hypertension (7 papers) and Cancer, Hypoxia, and Metabolism (7 papers). Gábor Nyírő collaborates with scholars based in Hungary, United States and Italy. Gábor Nyírő's co-authors include Attila Patócs, Henriett Butz, Péter Igaz, Tünde Vezér, Erzsébet Tátrai, István Likó, Kàroly Rácz, Francisco Rodríguez‐Valera, Lejla Pašić and Zsolt Nagy and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Scientific Reports.

In The Last Decade

Gábor Nyírő

38 papers receiving 621 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 Nyírő Hungary 15 257 209 139 99 70 38 630
Siyi Zhang China 19 515 2.0× 258 1.2× 88 0.6× 15 0.2× 153 2.2× 57 1000
Xiaoqin Wang China 17 341 1.3× 132 0.6× 41 0.3× 16 0.2× 141 2.0× 65 861
Helena Groot Colombia 15 183 0.7× 89 0.4× 27 0.2× 12 0.1× 89 1.3× 42 611
Sriram Ambadapadi United States 11 114 0.4× 71 0.3× 32 0.2× 14 0.1× 42 0.6× 27 394
Rebecca Barbeau United States 9 538 2.1× 294 1.4× 95 0.7× 16 0.2× 45 0.6× 13 1.1k
Zhang Yx China 14 235 0.9× 126 0.6× 43 0.3× 15 0.2× 12 0.2× 55 613
Xiujun Fan China 19 313 1.2× 128 0.6× 65 0.5× 16 0.2× 76 1.1× 48 1.1k
Xuan Zhou China 16 254 1.0× 159 0.8× 53 0.4× 13 0.1× 15 0.2× 52 570
Letizia Da Sacco Italy 14 412 1.6× 347 1.7× 36 0.3× 33 0.3× 59 0.8× 15 699
Kun Zhou China 13 459 1.8× 159 0.8× 33 0.2× 28 0.3× 74 1.1× 27 666

Countries citing papers authored by Gábor Nyírő

Since Specialization
Citations

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

Fields of papers citing papers by Gábor Nyírő

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gábor Nyírő

This figure shows the co-authorship network connecting the top 25 collaborators of Gábor Nyírő. A scholar is included among the top collaborators of Gábor Nyírő 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 Nyírő. Gábor Nyírő 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.
Nyírő, Gábor, Ábel Decmann, Zoltán Herold, et al.. (2024). miRNA Expression Profiling in G1 and G2 Pancreatic Neuroendocrine Tumors. Cancers. 16(14). 2528–2528. 1 indexed citations
2.
Nyírő, Gábor, Zoltán Herold, János Tibor Fekete, et al.. (2024). Circulating miRNAs and Machine Learning for Lateralizing Primary Aldosteronism. Hypertension. 81(12). 2479–2488. 6 indexed citations
3.
Herold, Zoltán, Gábor Nyírő, Katalin Borka, et al.. (2022). Tissue miRNA Combinations for the Differential Diagnosis of Adrenocortical Carcinoma and Adenoma Established by Artificial Intelligence. Cancers. 14(4). 895–895. 12 indexed citations
4.
Doleschall, Márton, Zoltán Herold, Zoltán Doleschall, et al.. (2022). Quantitative PCR from human genomic DNA: The determination of gene copy numbers for congenital adrenal hyperplasia and RCCX copy number variation. PLoS ONE. 17(12). e0277299–e0277299. 2 indexed citations
5.
Perge, Pál, et al.. (2022). Liquid biopsy for the assessment of adrenal cancer heterogeneity: where do we stand?. Endocrine. 77(3). 425–431. 5 indexed citations
6.
Nyírő, Gábor, Katalin Borka, Tamás Micsík, et al.. (2022). Exploratory Circular RNA Profiling in Adrenocortical Tumors. Cancers. 14(17). 4313–4313. 1 indexed citations
7.
8.
Sarkadi, Balázs, István Likó, Gábor Nyírő, et al.. (2021). Analytical Performance of NGS-Based Molecular Genetic Tests Used in the Diagnostic Workflow of Pheochromocytoma/Paraganglioma. Cancers. 13(16). 4219–4219. 4 indexed citations
9.
Butz, Henriett, et al.. (2020). Molecular genetic diagnostics of hypogonadotropic hypogonadism: from panel design towards result interpretation in clinical practice. Human Genetics. 140(1). 113–134. 38 indexed citations
10.
Nyírő, Gábor, Lilla Reiniger, Nikolette Szücs, et al.. (2019). Differentially Expressed miRNAs Influence Metabolic Processes in Pituitary Oncocytoma. Neurochemical Research. 44(10). 2360–2371. 13 indexed citations
11.
Decmann, Ábel, Gábor Nyírő, Irina Bancos, et al.. (2019). Circulating miRNA Expression Profiling in Primary Aldosteronism. Frontiers in Endocrinology. 10. 739–739. 24 indexed citations
12.
Patócs, Attila, István Likó, Gábor Nyírő, et al.. (2018). An unexpected, mild phenotype of glucocorticoid resistance associated with glucocorticoid receptor gene mutation case report and review of the literature. BMC Medical Genetics. 19(1). 37–37. 23 indexed citations
13.
Nyírő, Gábor, et al.. (2018). Membrane-bound estrogen receptor alpha initiated signaling is dynamin dependent in breast cancer cells. European journal of medical research. 23(1). 31–31. 10 indexed citations
14.
Perge, Pál, Henriett Butz, Raffaele Pezzani, et al.. (2017). Evaluation and diagnostic potential of circulating extracellular vesicle-associated microRNAs in adrenocortical tumors. Scientific Reports. 7(1). 5474–5474. 51 indexed citations
15.
Szénási, Gábor, Gábor Nyírő, Péter Szabó, et al.. (2015). Genetic predisposition in patients with hypertension and normal ejection fraction to oxidative stress. Journal of the American Society of Hypertension. 10(2). 124–132. 9 indexed citations
16.
Igaz, Péter, Zsolt Nagy, Gábor Nyírő, et al.. (2014). MicroRNAs in adrenal tumors: relevance for pathogenesis, diagnosis, and therapy. Cellular and Molecular Life Sciences. 72(3). 417–428. 44 indexed citations
17.
Kerti, Andrea, Attila J. Szabó, Ottó Árkossy, et al.. (2012). NPHS2 p.V290M mutation in late-onset steroid-resistant nephrotic syndrome. Pediatric Nephrology. 28(5). 751–757. 14 indexed citations
18.
Nyírő, Gábor, et al.. (2012). The effect of the CYP 2C19*2 polymorphism on stroke care. Acta Physiologica Hungarica. 99(1). 33–39. 5 indexed citations
19.
Sréter, T., Z. Széll, Gábor Nyírő, et al.. (2002). Electron microscopic and molecular identification of Wolbachia endosymbionts from Onchocerca lupi: implications for therapy. Veterinary Parasitology. 106(1). 75–82. 17 indexed citations
20.
Sréter, T., et al.. (2002). Molecular phylogenetic analysis of Onchocerca lupi and its Wolbachia endosymbiont. Veterinary Parasitology. 108(2). 153–161. 29 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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