György Ábel
- Hepatology top 1%
- Epidemiology top 5%
- Rheumatology top 5%
- Immunology top 10%
- Molecular Biology
- Co-authors
- Vincent AgnelloGlenn B. KnightJ K CzopJ FachetJános SzöllõsiGoro ChiharaChristopher R. deFilippiRobert H. Christenson
- Topics
- Hepatitis C virus research (6 papers)Systemic Lupus Erythematosus Research (4 papers)Neonatal Respiratory Health Research (4 papers)
- Cited by
- HepatologyRheumatologyEpidemiology
- Partner nations
- United StatesHungaryUnited Kingdom
In The Last Decade
György Ábel
29 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Hepatology 865
- Epidemiology 673
- Rheumatology 295
- Immunology 237
- Molecular Biology 221
Countries citing papers authored by György Ábel
This map shows the geographic impact of György Ábel'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 György Ábel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites György Ábel more than expected).
Fields of papers citing papers by György Ábel
This network shows the impact of papers produced by György Ábel. 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 György Ábel. The network helps show where György Ábel may publish in the future.
Co-authorship network of co-authors of György Ábel
This figure shows the co-authorship network connecting the top 25 collaborators of György Ábel. A scholar is included among the top collaborators of György Ábel 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 György Ábel. György Ábel 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 | 3 | |
| 3 | 25 | |
| 4 | 9 | |
| 5 | 2 | |
| 6 | 120 | |
| 7 | 4 | |
| 8 | 18 | |
| 9 | 6 | |
| 10 | Hepatitis C virus and other Flaviviridae viruses enter cells via low density lipoprotein receptorbreakdown → | 743 |
| 11 | 83 | |
| 12 | 108 | |
| 13 | 6 | |
| 14 | 97 | |
| 15 | 117 | |
| 16 | 21 | |
| 17 | Characterization of rapidly adhering amniotic fluid cells by combined immunofluorescence and phagocytosis assays. | 28 |
| 18 | Amniotic fluid mononuclear phagocytes: phenotypes and functions. | 2 |
| 19 | 6 | |
| 20 | 10 |
About György Ábel
György Ábel is a scholar working on Hepatology, Applied Microbiology and Biotechnology and Rheumatology, having authored 31 papers that have together received 1.5k indexed citations. Recurring topics across this work include Hepatitis C virus research (6 papers), Systemic Lupus Erythematosus Research (4 papers) and Neonatal Respiratory Health Research (4 papers). The work is most often cited by research in Hepatology (865 citations), Rheumatology (295 citations) and Epidemiology (673 citations). György Ábel has collaborated with scholars based in United States, Hungary and United Kingdom. Frequent co-authors include Vincent Agnello, Glenn B. Knight, J K Czop, J Fachet, János Szöllõsi, Goro Chihara, Christopher R. deFilippi, Robert H. Christenson, Show‐Hong Duh and Shunguang Wang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Blood and 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.