G Petrányi
- Immunology top 5%
- Oncology
- Molecular Biology
- Genetics
- Hematology top 10%
- Co-authors
- George KleinRolf KiesslingHans WigzellÉ GyódiM. BenczúrLeonard A. HerzenbergS. PoveyÉva Pócsik
- Topics
- Immune Cell Function and Interaction (15 papers)T-cell and B-cell Immunology (10 papers)Immunotherapy and Immune Responses (8 papers)
- Cited by
- ImmunologyTransplantationHematology
- Partner nations
- HungaryCzechiaUnited States
In The Last Decade
G Petrányi
52 papers receiving 861 citations
Peers
Comparison fields: 5 of 85
- Immunology 593
- Oncology 163
- Molecular Biology 142
- Genetics 114
- Hematology 103
Countries citing papers authored by G Petrányi
This map shows the geographic impact of G Petrányi'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 Petrányi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G Petrányi more than expected).
Fields of papers citing papers by G Petrányi
This network shows the impact of papers produced by G Petrányi. 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 Petrányi. The network helps show where G Petrányi may publish in the future.
Co-authorship network of co-authors of G Petrányi
This figure shows the co-authorship network connecting the top 25 collaborators of G Petrányi. A scholar is included among the top collaborators of G Petrányi 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 Petrányi. G Petrányi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 22 | |
| 3 | 41 | |
| 4 | 14 | |
| 5 | Characterisation of cytokine mRNA expression in tumour-infiltrating mononuclear cells and tumour cells freshly isolated from human colorectal carcinomas. | 17 |
| 6 | 13 | |
| 7 | Kidney transplantation from living donors in Hungary: experience of 22 years. | 3 |
| 8 | 2 | |
| 9 | 6 | |
| 10 | 1 | |
| 11 | 21 | |
| 12 | Differentiation and activation antigens associated with hairy cell leukemia. | 1 |
| 13 | 7 | |
| 14 | 14 | |
| 15 | HLA-DR antigens in juvenile chronic arthritis. | 12 |
| 16 | 35 | |
| 17 | Antibody dependent and spontaneous lymphocyte mediated cytotoxicity in normal subjects, patients with SLE, and malignancies. | 6 |
| 18 | 36 | |
| 19 | The effect of phytohaemagglutinin on plaque forming cells in the mouse spleen and on skin graft rejection. | 0 |
| 20 | [Prognostic value of percutaneous needle-biopsy of the kidney]. | 1 |
About G Petrányi
G Petrányi is a scholar working on Transplantation, Immunology and Hematology, having authored 55 papers that have together received 913 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (15 papers), T-cell and B-cell Immunology (10 papers) and Immunotherapy and Immune Responses (8 papers). The work is most often cited by research in Immunology (593 citations), Transplantation (28 citations) and Hematology (103 citations). G Petrányi has collaborated with scholars based in Hungary, Czechia and United States. Frequent co-authors include George Klein, Rolf Kiessling, Hans Wigzell, É Gyódi, M. Benczúr, Leonard A. Herzenberg, S. Povey, Éva Pócsik, Anna Csiszár and George Füst. Their work appears in journals such as The Lancet, Cancer and International Journal of Cancer.
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.