G Mészáros

1000 total citations
20 papers, 638 citations indexed

About

G Mészáros is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, G Mészáros has authored 20 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 6 papers in Molecular Biology and 4 papers in Epidemiology. Recurrent topics in G Mészáros's work include Immune Cell Function and Interaction (3 papers), Reproductive tract infections research (2 papers) and Urinary Tract Infections Management (2 papers). G Mészáros is often cited by papers focused on Immune Cell Function and Interaction (3 papers), Reproductive tract infections research (2 papers) and Urinary Tract Infections Management (2 papers). G Mészáros collaborates with scholars based in Hungary, France and Germany. G Mészáros's co-authors include Barna Vásárhelyi, Roméo Ricci, András Treszl, Tivadar Tulassay, Gergely Toldi, Alexander Goginashvili, Adrien Pasquier, Zhirong Zhang, János Rigó and Peter Švec and has published in prestigious journals such as The Journal of Experimental Medicine, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

G Mészáros

19 papers receiving 634 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G Mészáros Hungary 11 380 214 78 71 70 20 638
Hannes Hudalla Germany 15 126 0.3× 240 1.1× 77 1.0× 58 0.8× 38 0.5× 32 569
Zeinab Latifi Iran 16 284 0.7× 311 1.5× 30 0.4× 188 2.6× 140 2.0× 39 748
WY Almawi Tunisia 10 95 0.3× 225 1.1× 62 0.8× 34 0.5× 19 0.3× 12 473
Cong Sun China 15 184 0.5× 166 0.8× 154 2.0× 57 0.8× 90 1.3× 47 737
Huihui Sun China 12 202 0.5× 259 1.2× 22 0.3× 26 0.4× 123 1.8× 22 595
Melanie R. Shakespear Australia 7 794 2.1× 362 1.7× 85 1.1× 47 0.7× 7 0.1× 7 1.0k
Liheng Yang United States 12 275 0.7× 142 0.7× 65 0.8× 33 0.5× 73 1.0× 43 583
Ruiqin Han China 14 187 0.5× 104 0.5× 70 0.9× 42 0.6× 58 0.8× 31 479
Vladislava Paharkova-Vatchkova United States 7 122 0.3× 400 1.9× 85 1.1× 48 0.7× 24 0.3× 7 656

Countries citing papers authored by G Mészáros

Since Specialization
Citations

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

Fields of papers citing papers by G Mészáros

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G Mészáros

This figure shows the co-authorship network connecting the top 25 collaborators of G Mészáros. A scholar is included among the top collaborators of G Mészáros 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 G Mészáros. G Mészáros 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.
Vivot, Kevin, G Mészáros, Zhirong Zhang, et al.. (2023). CaMK1D signalling in AgRP neurons promotes ghrelin-mediated food intake. Nature Metabolism. 5(6). 1045–1058. 11 indexed citations
2.
Mészáros, G, et al.. (2022). Nonsuicidal self-injury, psychiatric disorders and pathological internet use among adolescents. European Psychiatry. 65(S1). S252–S253. 2 indexed citations
3.
Mészáros, G, Adrien Pasquier, Kevin Vivot, Alexander Goginashvili, & Roméo Ricci. (2018). Lysosomes in nutrient signalling: A focus on pancreatic β‐cells. Diabetes Obesity and Metabolism. 20(S2). 104–115. 12 indexed citations
4.
Zhang, Zhirong, G Mészáros, Wanting He, et al.. (2017). Protein kinase D at the Golgi controls NLRP3 inflammasome activation. The Journal of Experimental Medicine. 214(9). 2671–2693. 218 indexed citations
5.
Kebede, Adam F, Lara Zorro Shahidian, Stéphanie Le Gras, et al.. (2017). Histone propionylation is a mark of active chromatin. Nature Structural & Molecular Biology. 24(12). 1048–1056. 143 indexed citations
6.
Matondo, Mariette, G Mészáros, Alexander Goginashvili, et al.. (2016). Liver ubiquitome uncovers nutrient-stress-mediated trafficking and secretion of complement C3. Cell Death and Disease. 7(10). e2411–e2411. 6 indexed citations
7.
Mészáros, G, et al.. (2015). Altered mitochondrial response to activation of T-cells in neonate. Acta Physiologica Hungarica. 102(2). 216–227. 5 indexed citations
8.
Szalay, Balázs, Áron Cseh, G Mészáros, et al.. (2014). The Impact of DMARD and Anti-TNF Therapy on Functional Characterization of Short-Term T-Cell Activation in Patients with Rheumatoid Arthritis – A Follow-Up Study. PLoS ONE. 9(8). e104298–e104298. 4 indexed citations
9.
Mészáros, G, Balázs Szalay, Gergely Toldi, et al.. (2011). Kinetic Measurements Using Flow Cytometry: New Methods for Monitoring Intracellular Processes. Assay and Drug Development Technologies. 10(1). 97–104. 9 indexed citations
10.
Toldi, Gergely, András Folyovich, Ambrus Kaposi, et al.. (2011). Lymphocyte calcium influx kinetics in multiple sclerosis treated without or with interferon beta. Journal of Neuroimmunology. 237(1-2). 80–86. 9 indexed citations
11.
Szalay, Balázs, G Mészáros, Áron Cseh, et al.. (2011). Adaptive Immunity in Ankylosing Spondylitis: Phenotype and Functional Alterations of T-Cells before and during Infliximab Therapy. SHILAP Revista de lepidopterología. 2012. 1–8. 26 indexed citations
12.
Toldi, Gergely, Barna Vásárhelyi, Ambrus Kaposi, et al.. (2010). Lymphocyte activation in type 1 diabetes mellitus: The increased significance of Kv1.3 potassium channels. Immunology Letters. 133(1). 35–41. 33 indexed citations
13.
Cseh, Áron, et al.. (2009). Effect of 3 Months of Doxazosin Therapy on T-Cell Subsets in Type 2 Diabetic Patients. Journal of International Medical Research. 37(6). 1982–1987. 1 indexed citations
14.
Mészáros, G, Balázs Szalay, Gergely Toldi, et al.. (2009). FoxP3+ regulatory T cells in childhood allergic rhinitis and asthma.. PubMed. 19(3). 238–40. 11 indexed citations
15.
Vásárhelyi, Barna, Miklós Szabó, Júlia Hajdú, et al.. (2008). Published Genetic Variants in Retinopathy of Prematurity: Random Forest Analysis Suggests a Negligible Contribution to Risk and Severity. Current Eye Research. 33(5-6). 501–505. 14 indexed citations
16.
Toldi, Gergely, Peter Švec, Barna Vásárhelyi, et al.. (2008). Decreased number of FoxP3+ regulatory T cells in preeclampsia. Acta Obstetricia Et Gynecologica Scandinavica. 87(11). 1229–1233. 88 indexed citations
17.
Kovács, László, Ede Nagy, István Berbik, et al.. (1998). The frequency and the role ofChlamydia trachomatisinfection in premature labor. International Journal of Gynecology & Obstetrics. 62(1). 47–54. 28 indexed citations
18.
Nyári, Tibor, J Deák, Ede Nagy, et al.. (1998). Epidemiological study of Chlamydia trachomatis infection in pregnant women in Hungary. Sexually Transmitted Infections. 74(3). 213–215. 12 indexed citations
19.
Kovács, Lajos, et al.. (1987). [Tocolysis with clenbuterol tablets].. PubMed. 109(22). 1368–73. 6 indexed citations
20.
Mészáros, G. (1960). [Contributions to the clinical picture of chronic abscessing pneumonitis].. PubMed. 116. 38–49.

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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