Béla Hunyady
- Epidemiology top 10%
- Hepatology top 5%
- Molecular Biology
- Surgery
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Éva MezeyAgnes SchönbrunnJames M. SchaefferSudha W. MitraÁron VinczeGyula MózsikJidong JiaMitchell L. Shiffman
- Topics
- Hepatitis C virus research (39 papers)Liver Disease Diagnosis and Treatment (34 papers)Hepatitis B Virus Studies (24 papers)
- Partner nations
- HungaryUnited StatesCzechia
In The Last Decade
Béla Hunyady
52 papers receiving 681 citations
Peers
Comparison fields: 5 of 81
- Epidemiology 302
- Hepatology 225
- Molecular Biology 149
- Surgery 128
- Endocrinology, Diabetes and Metabolism 107
Countries citing papers authored by Béla Hunyady
This map shows the geographic impact of Béla Hunyady'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 Béla Hunyady with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Béla Hunyady more than expected).
Fields of papers citing papers by Béla Hunyady
This network shows the impact of papers produced by Béla Hunyady. 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 Béla Hunyady. The network helps show where Béla Hunyady may publish in the future.
Co-authorship network of co-authors of Béla Hunyady
This figure shows the co-authorship network connecting the top 25 collaborators of Béla Hunyady. A scholar is included among the top collaborators of Béla Hunyady 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 Béla Hunyady. Béla Hunyady is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | A hepatitis C-vírus-fertőzés szűrése, diagnosztikája, antivirális terápiája, kezelés utáni gondozása. Magyar konszenzusajánlás. Érvényes: 2017. = Screening, diagnosis, treatment, and follow up of hepatitis C virus related liver disease. National consensus guideline in Hungary from 22 September 2017 szeptember 22-től | 4 |
| 4 | 3 | |
| 5 | 13 | |
| 6 | 11 | |
| 7 | A krónikus vírushepatitisek hazai ellátási rendszerének sajátosságai: Hepatitis Regiszter és a Prioritási Index | Characteristics in treatment organization of chronic hepatitis in Hungary: Hepatitis Registry and Priority Index | 4 |
| 8 | 112 | |
| 9 | 8 | |
| 10 | 15 | |
| 11 | Protokoll a krónikus C-hepatitisek antivirális kezelésére | 2 |
| 12 | 22 | |
| 13 | 57 | |
| 14 | 6 | |
| 15 | 68 | |
| 16 | 8 | |
| 17 | 4 | |
| 18 | 66 | |
| 19 | 41 | |
| 20 | 17 |
About Béla Hunyady
Béla Hunyady is a scholar working on Hepatology, Epidemiology and Gastroenterology, having authored 58 papers that have together received 695 indexed citations. Recurring topics across this work include Hepatitis C virus research (39 papers), Liver Disease Diagnosis and Treatment (34 papers) and Hepatitis B Virus Studies (24 papers). The work is most often cited by research in Hepatology (225 citations), Gastroenterology (60 citations) and Sensory Systems (45 citations). Béla Hunyady has collaborated with scholars based in Hungary, United States and Czechia. Frequent co-authors include Éva Mezey, Agnes Schönbrunn, James M. Schaeffer, Sudha W. Mitra, Áron Vincze, Gyula Mózsik, Jidong Jia, Mitchell L. Shiffman, Mark Sulkowski and Markus Peck‐Radosavljevic. Their work appears in journals such as Gastroenterology, PLoS ONE and Endocrinology.
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.