Margit Horányi

550 total citations
20 papers, 463 citations indexed

About

Margit Horányi is a scholar working on Hepatology, Physiology and Rheumatology. According to data from OpenAlex, Margit Horányi has authored 20 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Hepatology, 8 papers in Physiology and 5 papers in Rheumatology. Recurrent topics in Margit Horányi's work include Hepatitis C virus research (10 papers), Erythrocyte Function and Pathophysiology (7 papers) and Neonatal Health and Biochemistry (4 papers). Margit Horányi is often cited by papers focused on Hepatitis C virus research (10 papers), Erythrocyte Function and Pathophysiology (7 papers) and Neonatal Health and Biochemistry (4 papers). Margit Horányi collaborates with scholars based in Hungary, United Kingdom and France. Margit Horányi's co-authors include Susan R. Hollán, Naila Ahmed, Roya Babaei‐Jadidi, N. Karachalias, Paul J. Thornalley, Sinan Battah, Alajos Pár, Géza Hegedűs, Ferenc Orosz and Judit Ovádi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and Biochemical Journal.

In The Last Decade

Margit Horányi

20 papers receiving 446 citations

Peers

Margit Horányi
Comparison fields: 5 of 76
  • Physiology 167
  • Molecular Biology 101
  • Immunology 98
  • Hepatology 92
  • Epidemiology 89
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Citations per field, relative to Margit Horányi
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Citations per year, relative to Margit Horányi
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Countries citing papers authored by Margit Horányi

Since Specialization
Citations

This map shows the geographic impact of Margit Horányi'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 Margit Horányi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Margit Horányi more than expected).

Fields of papers citing papers by Margit Horányi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Margit Horányi. 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 Margit Horányi. The network helps show where Margit Horányi may publish in the future.

Co-authorship network of co-authors of Margit Horányi

This figure shows the co-authorship network connecting the top 25 collaborators of Margit Horányi. A scholar is included among the top collaborators of Margit Horányi 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 Margit Horányi. Margit Horányi 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 40
2 4
3 2
4
[Viral co-infections in hepatitis C: HBV, HBV-C/HGV and TTV studies].
5
5 8
6
[Hepatitis C virus RNA in the skin eruption from patients with prurigo and chronic hepatitis C].
6
7 9
8 8
9 124
10 81
11
Decrease in CD3-negative-CD8dim+ and Vdelta2/vgama9 TcR+ peripheral blood lymphocyte counts, low perforin expression and the impairment of natural killer cell activity is associated with chronic hepatitis C virus infection
26
12 15
13 8
14 28
15 10
16 18
17
[Hepatitis C virus infection and B-cell non-Hodgkin's lymphoma].
10
18 22
19 21
20 18

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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