G Berencsi
- Co-authors
- B. MatkovicsLászló NagymajtényiL. SzabóKatalin BarabásSz.I. VargaAnna PáldyKlaudia BarabásI Nász
- Topics
- Virus-based gene therapy research (10 papers)Carcinogens and Genotoxicity Assessment (10 papers)Paraquat toxicity studies and treatments (9 papers)
- Partner nations
- HungaryRussiaUnited Kingdom
In The Last Decade
G Berencsi
64 papers receiving 350 citations
Peers
Comparison fields: 5 of 78
- Molecular Biology 97
- Plant Science 76
- Surgery 75
- Infectious Diseases 69
- Health, Toxicology and Mutagenesis 65
Countries citing papers authored by G Berencsi
This map shows the geographic impact of G Berencsi'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 Berencsi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G Berencsi more than expected).
Fields of papers citing papers by G Berencsi
This network shows the impact of papers produced by G Berencsi. 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 Berencsi. The network helps show where G Berencsi may publish in the future.
Co-authorship network of co-authors of G Berencsi
This figure shows the co-authorship network connecting the top 25 collaborators of G Berencsi. A scholar is included among the top collaborators of G Berencsi 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 Berencsi. G Berencsi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 4 | |
| 3 | 4 | |
| 4 | 10 | |
| 5 | 10 | |
| 6 | 3 | |
| 7 | Molecular cloning and physical mapping of the DNA of human adenovirus type 35. | 1 |
| 8 | Changes of adenovirus hexon associated with different passage history of Ad h 1. | 0 |
| 9 | Effects of a herbicide on the peroxide metabolism enzymes and lipid peroxidation in carp fish (Hypophthalmichthys molitrix). | 26 |
| 10 | 4 | |
| 11 | 4 | |
| 12 | Restriction site maps of the human adenovirus type 8 DNA. | 7 |
| 13 | 16 | |
| 14 | 23 | |
| 15 | 8 | |
| 16 | 1 | |
| 17 | [Modification of effect of muscle relaxants by pesticides]. | 1 |
| 18 | [ON A SPECIAL PROBLEM IN THE EPIDEMIOLOGY OF TUBERCULOSIS. POULTRY AS EXCRETERS OF MYCOBACTERIA]. | 0 |
| 19 | [Mucopolysaccharides in tuberculous tissues]. | 0 |
| 20 | 2 |
About G Berencsi
G Berencsi is a scholar working on Infectious Diseases, Cancer Research and Biophysics, having authored 76 papers that have together received 375 indexed citations. Recurring topics across this work include Virus-based gene therapy research (10 papers), Carcinogens and Genotoxicity Assessment (10 papers) and Paraquat toxicity studies and treatments (9 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (65 citations), Infectious Diseases (69 citations) and Cancer Research (55 citations). G Berencsi has collaborated with scholars based in Hungary, Russia and United Kingdom. Frequent co-authors include B. Matkovics, László Nagymajtényi, L. Szabó, Katalin Barabás, Sz.I. Varga, Anna Páldy, Klaudia Barabás, I Nász, J. Nemcsók and László Szabó. Their work appears in journals such as Nature, American Journal of Epidemiology and Virology.
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.