Rudolf Gesztelyi
- Molecular Biology
- Physiology top 10%
- Epidemiology top 10%
- Pathology and Forensic Medicine top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Béla JuhászJudit ZsugaÁrpád TósakiÁdám Kemény‐BekeBalázs R. VargaBalázs VargaIstván BakPéter Szodoray
- Topics
- Adenosine and Purinergic Signaling (19 papers)Antifungal resistance and susceptibility (15 papers)Heme Oxygenase-1 and Carbon Monoxide (10 papers)
- Journals
- International Journal of Molecular SciencesAntimicrobial Agents and ChemotherapyJournal of Chromatography A
- Partner nations
- HungaryUnited StatesNorway
In The Last Decade
Rudolf Gesztelyi
118 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 158
- Molecular Biology 633
- Physiology 351
- Epidemiology 327
- Pathology and Forensic Medicine 305
- Cardiology and Cardiovascular Medicine 204
Countries citing papers authored by Rudolf Gesztelyi
This map shows the geographic impact of Rudolf Gesztelyi'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 Rudolf Gesztelyi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rudolf Gesztelyi more than expected).
Fields of papers citing papers by Rudolf Gesztelyi
This network shows the impact of papers produced by Rudolf Gesztelyi. 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 Rudolf Gesztelyi. The network helps show where Rudolf Gesztelyi may publish in the future.
Co-authorship network of co-authors of Rudolf Gesztelyi
This figure shows the co-authorship network connecting the top 25 collaborators of Rudolf Gesztelyi. A scholar is included among the top collaborators of Rudolf Gesztelyi 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 Rudolf Gesztelyi. Rudolf Gesztelyi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 6 | |
| 7 | 10 | |
| 8 | 3 | |
| 9 | 8 | |
| 10 | 7 | |
| 11 | 5 | |
| 12 | 17 | |
| 13 | 10 | |
| 14 | 15 | |
| 15 | 11 | |
| 16 | 4 | |
| 17 | 2 | |
| 18 | 17 | |
| 19 | 16 | |
| 20 | 24 |
About Rudolf Gesztelyi
Rudolf Gesztelyi is a scholar working on Physiology, Geriatrics and Gerontology and Behavioral Neuroscience, having authored 121 papers that have together received 2.3k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (19 papers), Antifungal resistance and susceptibility (15 papers) and Heme Oxygenase-1 and Carbon Monoxide (10 papers). The work is most often cited by research in Physiology (166 citations), Geriatrics and Gerontology (101 citations) and Biochemistry (129 citations). Rudolf Gesztelyi has collaborated with scholars based in Hungary, United States and Norway. Frequent co-authors include Béla Juhász, Judit Zsuga, Árpád Tósaki, Ádám Kemény‐Beke, Balázs R. Varga, Balázs Varga, István Bak, Péter Szodoray, István Lekli and Csaba Papp. Their work appears in journals such as International Journal of Molecular Sciences, Antimicrobial Agents and Chemotherapy and Journal of Chromatography A.
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.