G.A. Medgyesi

548 total citations
13 papers, 116 citations indexed

About

G.A. Medgyesi is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, G.A. Medgyesi has authored 13 papers receiving a total of 116 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Immunology. Recurrent topics in G.A. Medgyesi's work include Monoclonal and Polyclonal Antibodies Research (6 papers), Glycosylation and Glycoproteins Research (4 papers) and Hepatitis B Virus Studies (4 papers). G.A. Medgyesi is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (6 papers), Glycosylation and Glycoproteins Research (4 papers) and Hepatitis B Virus Studies (4 papers). G.A. Medgyesi collaborates with scholars based in Hungary, Italy and Germany. G.A. Medgyesi's co-authors include J. Gergely, Mátyás Sándor, G. Füst, Hervé Bazin, Anna Erdei, M. Benczúr, G Petrányi, Gabriella Fóris, George Füst and András Falus and has published in prestigious journals such as Biochemical Journal, Molecular Immunology and Immunology Letters.

In The Last Decade

G.A. Medgyesi

13 papers receiving 111 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.A. Medgyesi Hungary 7 70 65 51 13 10 13 116
Hirotake Shiraiwa United States 5 58 0.8× 61 0.9× 55 1.1× 16 1.2× 4 0.4× 8 131
Radha Ramakrishnan United States 6 31 0.4× 31 0.5× 70 1.4× 21 1.6× 4 0.4× 6 105
Georg Wetzel Germany 2 37 0.5× 14 0.2× 64 1.3× 5 0.4× 5 0.5× 2 82
André Winkler Germany 3 46 0.7× 39 0.6× 80 1.6× 3 0.2× 5 0.5× 3 101
J. D. Aghajanian United States 3 9 0.1× 19 0.3× 54 1.1× 12 0.9× 8 0.8× 5 94
C. Nicolò Italy 4 21 0.3× 12 0.2× 31 0.6× 19 1.5× 7 0.7× 5 80
Constanze Heß Germany 3 45 0.6× 41 0.6× 80 1.6× 3 0.2× 4 0.4× 3 109
Jin Eyun Kim United States 6 48 0.7× 54 0.8× 38 0.7× 3 0.2× 7 0.7× 6 111
Amy Estes United States 10 215 3.1× 39 0.6× 11 0.2× 9 0.7× 9 0.9× 22 307
Kaitlyn Shields United States 5 28 0.4× 62 1.0× 52 1.0× 10 0.8× 6 0.6× 7 106

Countries citing papers authored by G.A. Medgyesi

Since Specialization
Citations

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

Fields of papers citing papers by G.A. Medgyesi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G.A. Medgyesi

This figure shows the co-authorship network connecting the top 25 collaborators of G.A. Medgyesi. A scholar is included among the top collaborators of G.A. Medgyesi 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.A. Medgyesi. G.A. Medgyesi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Kapprell, Hans‐Peter, et al.. (1995). HCV Core IgM and IgG Antibodies in Blood Donors. Vox Sanguinis. 68(1). 57–58. 1 indexed citations
2.
3.
Medgyesi, G.A., et al.. (1992). [Reactivity of hepatitis C virus (HCV) antibody among blood donors in Hungary].. PubMed. 133 Suppl 1. 21–4. 1 indexed citations
4.
Mihály, Ilona, et al.. (1991). [Hepatitis C virus antibody in Hungarian blood donors, persons at risk and patients with post-transfusion hepatitis].. PubMed. 132(23). 1235–8. 1 indexed citations
5.
Rozsnyay, Zoltán, et al.. (1990). Fine specificity of a rabbit antibody interacting with human IgG Fc receptor-like molecules. Immunology Letters. 25(4). 303–311. 2 indexed citations
6.
7.
Medgyesi, G.A., Gabriella Fóris, George Füst, & Hervé Bazin. (1984). Regulation of Fcμ Receptor-mediated Functions of Resident and Provoked Peritoneal Macrophages. Immunobiology. 167(4). 293–300. 7 indexed citations
8.
Sándor, Mátyás, et al.. (1981). Immune complex binding induces lateral lipid re-ordering in rat macrophage plasma membrane. Molecular Immunology. 18(3). 173–179. 7 indexed citations
9.
Medgyesi, G.A., et al.. (1980). Differences in the ability of rat IgG subclasses to consume complement in homologous and heterologous serum. Immunology Letters. 1(5). 249–253. 24 indexed citations
10.
Erdei, Anna, G. Füst, G.A. Medgyesi, & J. Gergely. (1980). Complement-dependent inhibition of Fc receptors on human peripheral blood mononuclear cells: inhibition of the binding of aggregated IgG, soluble and particulate immune complexes. Immunology Letters. 1(4). 223–226. 5 indexed citations
11.
Benczúr, M., et al.. (1979). Correlation between Effector Lymphocytes in Natural and Antibody-mediated Cytotoxicity. PubMed. 156(3). 320–329. 11 indexed citations
12.
Sándor, Mátyás, G. Füst, G.A. Medgyesi, Anna Erdei, & J. Gergely. (1979). The heterogeneity of Fc receptors on human peripheral mononuclear blood cells.. PubMed. 38(3). 553–60. 24 indexed citations
13.
Sándor, Mátyás, G. Füst, G.A. Medgyesi, & J. Gergely. (1978). Isolation and characterization of Fc-receptors shed from human peripheral mononuclear cells.. PubMed. 35(3). 559–66. 24 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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