Péter Végh
Impact in
- Immunology top 5%
- Psoriasis: Treatment and Pathogenesis
- T-cell and B-cell Immunology
- Dermatology top 5%
- Dermatology and Skin Diseases
Papers in
-
- Microbial Metabolic Engineering and Bioproduction 2
- Advanced Biosensing Techniques and Applications 2
- Genomics and Chromatin Dynamics 1
-
- Complement system in diseases 2
- Co-authors
- David John Lynn (3 shared papers)Nathan Lawless (1 shared paper)Cliona O’Farrelly (1 shared paper)Krisztián Papp (4 shared papers)József Prechl (4 shared papers)Muzlifah A. Haniffa (1 shared paper)Anna Erdei (3 shared papers)David Evan MacHugh (2 shared papers)
- Journals
- Nature (2 papers)ACS Synthetic Biology (2 papers)Frontiers in Immunology (1 paper)Tuberculosis (1 paper)Nature Communications (1 paper)
- Partner nations
- United KingdomHungaryIreland
In The Last Decade
Péter Végh
16 papers receiving 1.3k citations
Péter Végh's Hit Papers
Peers
Comparison fields: 5 of 91
- Immunology 321
- Dermatology 98
- Hematology 124
- Molecular Biology 499
- Virology 23
Countries citing papers authored by Péter Végh
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Decoding human fetal liver haematopoiesis Hit paper breakdown → | 2019 | 436 |
| 2 | Developmental cell programs are co-opted in inflammatory skin disease Hit paper breakdown → | 2021 | 395 |
| 3 | 2018 | 152 | |
| 4 | 2014 | 54 | |
| 5 | 2014 | 50 | |
| 6 | 2022 | 49 | |
| 7 | 2008 | 47 | |
| 8 | 2021 | 46 | |
| 9 | 2013 | 33 | |
| 10 | 2012 | 25 | |
| 11 | 2018 | 19 | |
| 12 | 2008 | 15 | |
| 13 | 2021 | 13 | |
| 14 | 2024 | 10 | |
| 15 | 2011 | 5 | |
| 16 | 2024 | 2 |
About Péter Végh
Péter Végh is a scholar working on Molecular Biology, Immunology, Cancer Research, Rheumatology and Virology, having authored 16 papers that have together received 1.4k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (2 papers), MicroRNA in disease regulation (2 papers), Complement system in diseases (2 papers), Systemic Lupus Erythematosus Research (2 papers), Advanced Biosensing Techniques and Applications (2 papers), Dermatology and Skin Diseases (1 paper), Genomics and Chromatin Dynamics (1 paper) and HIV Research and Treatment (1 paper). The work is most often cited by research in Immunology (321 citations), Dermatology (98 citations), Hematology (124 citations), Molecular Biology (499 citations) and Virology (23 citations). Péter Végh has collaborated with scholars based in United Kingdom, Hungary and Ireland. Frequent co-authors include David John Lynn, Nathan Lawless, Cliona O’Farrelly, Krisztián Papp, József Prechl, Muzlifah A. Haniffa, Anna Erdei, David Evan MacHugh, John Arthur Browne and Kevin M. Conlon. Their work appears in journals such as Nature, ACS Synthetic Biology, Frontiers in Immunology, Tuberculosis and Nature Communications.
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.