Mihály Makara
- Co-authors
- István Vályi‐NagyGábor HorváthMihály SulyokBéla HunyadyEszter ÚjhelyiPeter VarunokColeen HallUlus Salih Akarca
- Topics
- Hepatitis C virus research (31 papers)Liver Disease Diagnosis and Treatment (29 papers)Hepatitis B Virus Studies (19 papers)
- Partner nations
- HungaryAustraliaUnited States
In The Last Decade
Mihály Makara
31 papers receiving 223 citations
Peers
Comparison fields: 5 of 42
- Hepatology 179
- Epidemiology 163
- Surgery 29
- Infectious Diseases 21
- Rheumatology 14
Countries citing papers authored by Mihály Makara
This map shows the geographic impact of Mihály Makara'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 Mihály Makara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mihály Makara more than expected).
Fields of papers citing papers by Mihály Makara
This network shows the impact of papers produced by Mihály Makara. 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 Mihály Makara. The network helps show where Mihály Makara may publish in the future.
Co-authorship network of co-authors of Mihály Makara
This figure shows the co-authorship network connecting the top 25 collaborators of Mihály Makara. A scholar is included among the top collaborators of Mihály Makara 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 Mihály Makara. Mihály Makara 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 | 4 | |
| 4 | 5 | |
| 5 | 4 | |
| 6 | 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 |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 15 | |
| 10 | 23 | |
| 11 | 68 | |
| 12 | 23 | |
| 13 | 1 | |
| 14 | 0 | |
| 15 | 13 | |
| 16 | 13 | |
| 17 | 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 |
| 18 | 8 | |
| 19 | Protokoll a krónikus C-hepatitisek antivirális kezelésére | 2 |
| 20 | 2 |
About Mihály Makara
Mihály Makara is a scholar working on Hepatology, Epidemiology and Emergency Medicine, having authored 35 papers that have together received 228 indexed citations. Recurring topics across this work include Hepatitis C virus research (31 papers), Liver Disease Diagnosis and Treatment (29 papers) and Hepatitis B Virus Studies (19 papers). The work is most often cited by research in Hepatology (179 citations), Epidemiology (163 citations) and Transplantation (11 citations). Mihály Makara has collaborated with scholars based in Hungary, Australia and United States. Frequent co-authors include István Vályi‐Nagy, Gábor Horváth, Mihály Sulyok, Béla Hunyady, Eszter Újhelyi, Peter Varunok, Coleen Hall, Ulus Salih Akarca, Edward Tam and Paul J. Thuluvath. Their work appears in journals such as Gastroenterology, PLoS ONE and Journal of Hepatology.
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.