Péter Végh

1.9k citations
15 papers · 300 · h-index 9

Impact in

Papers in

    • Circular RNAs in diseases 2
    • Advanced Biosensing Techniques and Applications 2
    • Gene Regulatory Network Analysis 2
    • Microbial Metabolic Engineering and Bioproduction 2
    • Complement system in diseases 2

Péter Végh

14 papers receiving 299 citations

Peers

Péter Végh
Comparison fields: 5 of 59
  • Cancer Research 102
  • Immunology 62
  • Molecular Biology 179
  • Agronomy and Crop Science 27
  • Microbiology 7
Replace Xinyi Li with:
Xinyi Li China
Nicola Brady United Kingdom
Cristina Camperio Italy
Yong Wei China
Lianhui Zhu China
Neha Tyagi United States
Hui‐Min Ho Taiwan
Zuzana Krupova France
Haodi Dong China
Noriyuki Hamasima Japan
Péter Végh relative to Xinyi Li China Xinyi Li's profile →
Citations per field
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Xinyi Li · 1×
Citations per year

Countries citing papers authored by Péter Végh

Since Specialization
Citations

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

Fields of papers citing papers by Péter Végh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Péter Végh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Péter Végh Line = papers co-authored together Péter Végh links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 201452
2 200847
3 201447
4 202245
5 201330
6 201222
7 201816
8 200812
9 202110
10 20247
11 20255
12 20115
13 20241
14 20221
15 20200

About Péter Végh

Péter Végh is a scholar working on Molecular Biology, Immunology, Radiology, Nuclear Medicine and Imaging, Cancer Research and Ecology, having authored 15 papers that have together received 300 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (3 papers), MicroRNA in disease regulation (3 papers), Circular RNAs in diseases (2 papers), Advanced Biosensing Techniques and Applications (2 papers), Systemic Lupus Erythematosus Research (2 papers), Complement system in diseases (2 papers), Gene Regulatory Network Analysis (2 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). The work is most often cited by research in Cancer Research (102 citations), Immunology (62 citations), Molecular Biology (179 citations), Agronomy and Crop Science (27 citations) and Microbiology (7 citations). Péter Végh has collaborated with scholars based in United Kingdom, Hungary and Ireland. Frequent co-authors include David J. Lynn, Nathan Lawless, Krisztián Papp, József Prechl, Anna Erdei, Muzlifah Haniffa, John A. Browne, Matthew S. McCabe, Kevin M. Conlon and Stephen V. Gordon. Their work appears in journals such as ACS Synthetic Biology, Nature Communications, Tuberculosis, Briefings in Functional Genomics and Frontiers in Immunology.

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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