Géza Hegedűs

965 total citations
59 papers, 714 citations indexed

About

Géza Hegedűs is a scholar working on Plant Science, Hepatology and Molecular Biology. According to data from OpenAlex, Géza Hegedűs has authored 59 papers receiving a total of 714 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Plant Science, 15 papers in Hepatology and 14 papers in Molecular Biology. Recurrent topics in Géza Hegedűs's work include Hepatitis C virus research (14 papers), Plant-Microbe Interactions and Immunity (8 papers) and Plant Stress Responses and Tolerance (5 papers). Géza Hegedűs is often cited by papers focused on Hepatitis C virus research (14 papers), Plant-Microbe Interactions and Immunity (8 papers) and Plant Stress Responses and Tolerance (5 papers). Géza Hegedűs collaborates with scholars based in Hungary, United Kingdom and United States. Géza Hegedűs's co-authors include János Taller, István Cernák, Ahmad Mousapour Gorji, S. Nagy, Péter Poczai, Alajos Pár, Gabriella Pár, Júlia Szekeres‐Barthó, László Szereday and István Ember and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Géza Hegedűs

50 papers receiving 674 citations

Peers

Géza Hegedűs
Comparison fields: 5 of 95
  • Plant Science 234
  • Molecular Biology 192
  • Genetics 177
  • Epidemiology 104
  • Immunology 104
Replace Yuanyang Hu with:
Yuanyang Hu China
Matthew Sullivan United States
Jarl Andreas Anmarkrud Norway
María Méndez Spain
Trevor R. Sweeney United Kingdom
Armando Rodríguez Germany
Ioly Kotta‐Loizou United Kingdom
Haruka Toyoda Japan
Roland Kehm Germany
Yuanyang Hu China View profile →
Citations per field, relative to Géza Hegedűs
Géza Hegedűs · 1×
Citations per year, relative to Géza Hegedűs
Géza Hegedűs · 1×

Countries citing papers authored by Géza Hegedűs

Since Specialization
Citations

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

Fields of papers citing papers by Géza Hegedűs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Géza Hegedűs

This figure shows the co-authorship network connecting the top 25 collaborators of Géza Hegedűs. A scholar is included among the top collaborators of Géza Hegedűs 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 Géza Hegedűs. Géza Hegedűs 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 1
2 0
3 3
4 4
5 3
6 4
7 5
8 2
9 3
10 0
11 1
12 17
13 11
14 7
15 8
16
Prognostic factors in Hungarian breast cancer patients.
4
17 15
18 81
19 13
20
Role of viral and host factors in the pathogenesis of Hepatitis C Virus infection and in the response to interferon treatment
4

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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