Tünde Nagy

1.8k total citations
46 papers, 954 citations indexed

About

Tünde Nagy is a scholar working on Oncology, Surgery and Molecular Biology. According to data from OpenAlex, Tünde Nagy has authored 46 papers receiving a total of 954 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Oncology, 10 papers in Surgery and 10 papers in Molecular Biology. Recurrent topics in Tünde Nagy's work include Drug Transport and Resistance Mechanisms (10 papers), Pharmacological Effects and Toxicity Studies (5 papers) and Cholesterol and Lipid Metabolism (4 papers). Tünde Nagy is often cited by papers focused on Drug Transport and Resistance Mechanisms (10 papers), Pharmacological Effects and Toxicity Studies (5 papers) and Cholesterol and Lipid Metabolism (4 papers). Tünde Nagy collaborates with scholars based in Hungary, Romania and Spain. Tünde Nagy's co-authors include Péter Krajcsi, Hristos Glavinas, Lajos Szente, Krisztina Herédi‐Szabó, Stéphane Orlowski, Jacques Dupuy, Anne Lespine, Jesús Casas, Pablo V. Escribá and Éva Hideg and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Tünde Nagy

42 papers receiving 915 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tünde Nagy Hungary 18 369 326 144 140 82 46 954
Yi Miao United States 15 208 0.6× 467 1.4× 47 0.3× 63 0.5× 70 0.9× 32 861
Viola Calabrò Italy 25 511 1.4× 979 3.0× 78 0.5× 378 2.7× 139 1.7× 72 1.8k
Gail S. Harrison United States 20 193 0.5× 871 2.7× 132 0.9× 26 0.2× 44 0.5× 46 1.7k
Peiqi Liu China 10 515 1.4× 952 2.9× 101 0.7× 63 0.5× 93 1.1× 28 1.4k
Ulrich Deuschle Germany 26 539 1.5× 1.6k 4.8× 293 2.0× 33 0.2× 52 0.6× 43 2.6k
Richard K. Kandasamy Norway 20 175 0.5× 1.0k 3.2× 136 0.9× 37 0.3× 60 0.7× 45 1.7k
Judith L. Fridovich‐Keil United States 31 108 0.3× 1.3k 4.0× 154 1.1× 493 3.5× 115 1.4× 84 2.6k
Rong Li United States 22 297 0.8× 841 2.6× 55 0.4× 33 0.2× 155 1.9× 56 1.7k
Ada Dantes Israel 28 166 0.4× 1.1k 3.4× 52 0.4× 68 0.5× 60 0.7× 50 2.3k
Haruaki Yamamoto Japan 20 98 0.3× 389 1.2× 67 0.5× 68 0.5× 61 0.7× 39 1.1k

Countries citing papers authored by Tünde Nagy

Since Specialization
Citations

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

Fields of papers citing papers by Tünde Nagy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tünde Nagy

This figure shows the co-authorship network connecting the top 25 collaborators of Tünde Nagy. A scholar is included among the top collaborators of Tünde 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 Tünde Nagy. Tünde 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.
2.
Rubovszky, Gábor, Barna Budai, Zsolt Horváth, et al.. (2017). Predictive Value of Early Skin Rash in Cetuximab-Based Therapy of Advanced Biliary Tract Cancer. Pathology & Oncology Research. 24(2). 237–244. 5 indexed citations
3.
Nagy, Tünde & Gábor Rubovszky. (2016). [Review of medical or combined treatment of local or locally advanced oesophageal cancer].. PubMed. 60(4). 288–298. 1 indexed citations
4.
Álvarez, Rafael, David J. López, Jesús Casas, et al.. (2015). G protein–membrane interactions I: Gαi1 myristoyl and palmitoyl modifications in protein–lipid interactions and its implications in membrane microdomain localization. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1851(11). 1511–1520. 23 indexed citations
5.
Nagy, Tünde, Katalin Jakab, Katalin Gémes, et al.. (2015). Membrane Assays to Characterize Interaction of Drugs with ABCB1. The Journal of Membrane Biology. 248(6). 967–977. 9 indexed citations
6.
Rácz, Anita, Tünde Nagy, & Veronika Vincze. (2014). 4FX: Light Verb Constructions in a Multilingual Parallel Corpus. Language Resources and Evaluation. 710–715. 4 indexed citations
7.
Rubovszky, Gábor, István Láng, Zsolt Horváth, et al.. (2013). Cetuximab, gemcitabine and capecitabine in patients with inoperable biliary tract cancer: A phase 2 study. European Journal of Cancer. 49(18). 3806–3812. 34 indexed citations
8.
Rubovszky, Gábor, Tünde Nagy, Mária Gődény, András Szász, & István Láng. (2012). Successful Treatment of Solitary Bone Metastasis of Non-Small Cell Lung Cancer with Bevacizumab and Hyperthermia. Pathology & Oncology Research. 19(1). 119–122. 8 indexed citations
9.
Glavinas, Hristos, Oliver von Richter, Kinga Vojnits, et al.. (2011). Calcein assay: a high-throughput method to assess P-gp inhibition. Xenobiotica. 41(8). 712–719. 30 indexed citations
10.
Budai, Barna, Vilmos Adleff, Tünde Nagy, et al.. (2011). Impact of SHMT1 polymorphism on the clinical outcome of patients with metastatic colorectal cancer treated with first-line FOLFIRI+bevacizumab. Pharmacogenetics and Genomics. 22(1). 69–72. 19 indexed citations
11.
Kis, Emese, Enikő Ioja, Tünde Nagy, et al.. (2009). Effect of Membrane Cholesterol on BSEP/Bsep Activity: Species Specificity Studies for Substrates and Inhibitors. Drug Metabolism and Disposition. 37(9). 1878–1886. 80 indexed citations
12.
Kis, Emese, et al.. (2008). Mouse Bsep ATPase Assay: A Nonradioactive Tool for Assessment of the Cholestatic Potential of Drugs. SLAS DISCOVERY. 14(1). 10–15. 12 indexed citations
13.
Pál, Ákos, Dóra Méhn, E. M. Molnar, et al.. (2007). Cholesterol Potentiates ABCG2 Activity in a Heterologous Expression System: Improved in Vitro Model to Study Function of Human ABCG2. Journal of Pharmacology and Experimental Therapeutics. 321(3). 1085–1094. 90 indexed citations
14.
Lespine, Anne, Jacques Dupuy, Stéphane Orlowski, et al.. (2005). Interaction of ivermectin with multidrug resistance proteins (MRP1, 2 and 3). Chemico-Biological Interactions. 159(3). 169–179. 91 indexed citations
15.
Vögler, Oliver, Jesús Casas, Tünde Nagy, et al.. (2004). The Gβγ Dimer Drives the Interaction of Heterotrimeric Gi Proteins with Nonlamellar Membrane Structures. Journal of Biological Chemistry. 279(35). 36540–36545. 72 indexed citations
16.
17.
Nagy, Tünde & K. Elekes. (2002). Ultrastructure of neuromuscular contacts in the embryonic pond snailLymnaea stagnalisL.. Acta Biologica Hungarica. 53(1-2). 125–139. 1 indexed citations
18.
Vízler, Csaba, et al.. (2002). Flow cytometric cytotoxicity assay for measuring mammalian and avian NK cell activity. Cytometry. 47(3). 158–162. 19 indexed citations
19.
Nagy, Tünde & K. Elekes. (2000). Embryogenesis of the central nervous system of the pond snail Lymnaea stagnalis L. An ultrastructural study. Journal of Neurocytology. 29(1). 43–60. 20 indexed citations
20.
Nagy, Tünde, et al.. (1999). Pathophysiological effects of human TNF‐alpha‐producing tumor xenografts in immunosuppressed mice. Apmis. 107(7-12). 903–912. 3 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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