György Ábel

2.1k total citations · 1 hit paper
31 papers, 1.5k citations indexed

About

György Ábel is a scholar working on Epidemiology, Immunology and Molecular Biology. According to data from OpenAlex, György Ábel has authored 31 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 7 papers in Immunology and 6 papers in Molecular Biology. Recurrent topics in György Ábel's work include Hepatitis C virus research (6 papers), Systemic Lupus Erythematosus Research (4 papers) and Neonatal Respiratory Health Research (4 papers). György Ábel is often cited by papers focused on Hepatitis C virus research (6 papers), Systemic Lupus Erythematosus Research (4 papers) and Neonatal Respiratory Health Research (4 papers). György Ábel collaborates with scholars based in United States, Hungary and United Kingdom. György Ábel's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and Hepatology.

In The Last Decade

György Ábel

29 papers receiving 1.5k citations

Hit Papers

Hepatitis C virus and other Flaviviridae viruses enter ce... 1999 2026 2008 2017 1999 200 400 600

Peers

György Ábel
Comparison fields: 5 of 105
  • Hepatology 865
  • Epidemiology 673
  • Rheumatology 295
  • Immunology 237
  • Molecular Biology 221
Replace Rosalba Minisini with:
Rosalba Minisini Italy
Hiromichi Dansako Japan
Kentaro Yoshioka Japan
Yumiko Nagao Japan
Takahiro Masaki Japan
T Maekawa Japan
U. Hopf Germany
Haruki Komatsu Japan
Robert W. McCollum United States
Thomas Peters Germany
Rosalba Minisini Italy View profile →
Citations per field, relative to György Ábel
György Ábel · 1×
Citations per year, relative to György Ábel
György Ábel · 1×

Countries citing papers authored by György Ábel

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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 receptor breakdown →
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

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.

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2026