G Medgyesi
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 5%
- Immunology
- Hematology top 10%
- Biomedical Engineering
- Co-authors
- J. GergelyGeorge FüstHervé BazinGabriella FórisPéter ZávodszkyL. VereczkeyBalázs DezsöV.P. Zav′yalov
- Topics
- Monoclonal and Polyclonal Antibodies Research (17 papers)Blood groups and transfusion (10 papers)Glycosylation and Glycoproteins Research (9 papers)
In The Last Decade
G Medgyesi
58 papers receiving 779 citations
Peers
Comparison fields: 5 of 115
- Molecular Biology 467
- Radiology, Nuclear Medicine and Imaging 344
- Immunology 191
- Hematology 93
- Biomedical Engineering 60
Countries citing papers authored by G Medgyesi
This map shows the geographic impact of G 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 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 Medgyesi more than expected).
Fields of papers citing papers by G Medgyesi
This network shows the impact of papers produced by G 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 Medgyesi. The network helps show where G Medgyesi may publish in the future.
Co-authorship network of co-authors of G Medgyesi
This figure shows the co-authorship network connecting the top 25 collaborators of G Medgyesi. A scholar is included among the top collaborators of G 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 Medgyesi. G Medgyesi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 63 | |
| 2 | 13 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 13 | |
| 7 | 7 | |
| 8 | 16 | |
| 9 | 14 | |
| 10 | Prevalence of HIV-antibodies in patients with haemophilia in Hungary. | 1 |
| 11 | 5 | |
| 12 | 20 | |
| 13 | 75 | |
| 14 | Electrophoresis in the separation of biological macromolecules | 63 |
| 15 | Immunology, 1978 : proceedings of the fourth European Immunology Meeting, Budapest, Hungary, 12-14 April, 1978 | 1 |
| 16 | 8 | |
| 17 | Antibody structure and molecular immunology | 9 |
| 18 | Structural localization of isotypic markers on mouse myeloma gamma G globulins. | 6 |
| 19 | 20 | |
| 20 | 6 |
About G Medgyesi
G Medgyesi is a scholar working on Hematology, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 59 papers that have together received 846 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (17 papers), Blood groups and transfusion (10 papers) and Glycosylation and Glycoproteins Research (9 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (344 citations), Immunology (191 citations) and Hematology (93 citations). G Medgyesi has collaborated with scholars based in Hungary, Czechia and Germany. Frequent co-authors include J. Gergely, George Füst, Hervé Bazin, Gabriella Fóris, Péter Závodszky, L. Vereczkey, Balázs Dezsö, V.P. Zav′yalov, József Kardos and Peter L. Privalov. Their work appears in journals such as Journal of Bone and Joint Surgery, Annals of the New York Academy of Sciences and European Journal of Biochemistry.
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.