Zoltán Hanzély
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 5%
- Genetics top 5%
- Neurology top 10%
- Epidemiology
- Co-authors
- Márta KorbonitsSándor CzirjákAshley GrossmanLászló BognárDamian MorrisMiklós GaramiPéter HauserDebra M. Lillington
- Topics
- Glioma Diagnosis and Treatment (11 papers)Pituitary Gland Disorders and Treatments (6 papers)Neuroblastoma Research and Treatments (5 papers)
- Journals
- Journal of Clinical OncologyThe Journal of Clinical Endocrinology & MetabolismClinical Cancer Research
- Partner nations
- HungaryUnited KingdomCanada
In The Last Decade
Zoltán Hanzély
27 papers receiving 738 citations
Peers
Comparison fields: 5 of 61
- Molecular Biology 289
- Endocrinology, Diabetes and Metabolism 252
- Genetics 248
- Neurology 180
- Epidemiology 154
Countries citing papers authored by Zoltán Hanzély
This map shows the geographic impact of Zoltán Hanzély'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 Zoltán Hanzély with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zoltán Hanzély more than expected).
Fields of papers citing papers by Zoltán Hanzély
This network shows the impact of papers produced by Zoltán Hanzély. 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 Zoltán Hanzély. The network helps show where Zoltán Hanzély may publish in the future.
Co-authorship network of co-authors of Zoltán Hanzély
This figure shows the co-authorship network connecting the top 25 collaborators of Zoltán Hanzély. A scholar is included among the top collaborators of Zoltán Hanzély 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 Zoltán Hanzély. Zoltán Hanzély is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 21 | |
| 3 | 2 | |
| 4 | Symptomatic subependymomas of the ventricles. Review of twenty consecutive cases. | 8 |
| 5 | 40 | |
| 6 | 43 | |
| 7 | 31 | |
| 8 | 15 | |
| 9 | 4 | |
| 10 | 6 | |
| 11 | 1 | |
| 12 | 8 | |
| 13 | 49 | |
| 14 | 10 | |
| 15 | 7 | |
| 16 | 9 | |
| 17 | 95 | |
| 18 | 92 | |
| 19 | 28 | |
| 20 | What can we learn from Pathology ?: From the beginnings towards radiosurgical pathology | 1 |
About Zoltán Hanzély
Zoltán Hanzély is a scholar working on Genetics, Neurology and Endocrinology, Diabetes and Metabolism, having authored 27 papers that have together received 751 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (11 papers), Pituitary Gland Disorders and Treatments (6 papers) and Neuroblastoma Research and Treatments (5 papers). The work is most often cited by research in Genetics (248 citations), Endocrinology, Diabetes and Metabolism (252 citations) and Neurology (180 citations). Zoltán Hanzély has collaborated with scholars based in Hungary, United Kingdom and Canada. Frequent co-authors include Márta Korbonits, Sándor Czirják, Ashley Grossman, László Bognár, Damian Morris, Miklós Garami, Péter Hauser, Debra M. Lillington, Mädälina Muşat and Ottó Major. Their work appears in journals such as Journal of Clinical Oncology, The Journal of Clinical Endocrinology & Metabolism and Clinical Cancer Research.
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.