Tibor Vályi-Nagy
- Epidemiology top 1%
- Herpesvirus Infections and Treatments 54
- Cytomegalovirus and herpesvirus research 20
- Virology top 5%
- Immunology top 5%
- interferon and immune responses 8
- Infectious Diseases top 5%
- Antifungal resistance and susceptibility 7
- Neurology top 5%
- Intracranial Aneurysms: Treatment and Complications 8
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- Virus-based gene therapy research 10
- Glioma Diagnosis and Treatment 7
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- Ocular Surface and Contact Lens 7
- Co-authors
- Deepak ShuklaVaibhav TiwariTerence S. DermodyChristian ClémentKlara Valyi‐NagyNicholas FraserJianbo YueSatish L. Deshmane
- Cited by
- EpidemiologyVirologyImmunology
- Journals
- Journal of Biological Chemistry (1 paper)Circulation (1 paper)Journal of Clinical Investigation (7 papers)
- Partner nations
- United StatesHungaryChina
In The Last Decade
Tibor Vályi-Nagy
121 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 131
- Epidemiology 1.9k
- Virology 186
- Immunology 751
- Infectious Diseases 534
- Neurology 237
Countries citing papers authored by Tibor Vályi-Nagy
This map shows the geographic impact of Tibor Vályi-Nagy'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 Tibor Vályi-Nagy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tibor Vályi-Nagy more than expected).
Fields of papers citing papers by Tibor Vályi-Nagy
This network shows the impact of papers produced by Tibor Vályi-Nagy. 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 Tibor Vályi-Nagy. The network helps show where Tibor Vályi-Nagy may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tibor Vályi-Nagy, 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 | 2025 | 1 | |
| 2 | 2020 | 6 | |
| 3 | 2018 | 4 | |
| 4 | 2016 | 1 | |
| 5 | 2016 | 7 | |
| 6 | 2015 | 5 | |
| 7 | 2015 | 11 | |
| 8 | 2013 | 8 | |
| 9 | Up-regulation Of Syndecan Expression May Be A Viral-induced Mechanism For HSV-1 Shedding | 2011 | 0 |
| 10 | 2011 | 93 | |
| 11 | Trends in HSV-1 Infection of Ex-Vivo Corneal Tissue and Correlation to Heparan Sulfate Expression | 2010 | 0 |
| 12 | 2010 | 35 | |
| 13 | 2008 | 194 | |
| 14 | 2007 | 110 | |
| 15 | 2006 | 108 | |
| 16 | 2005 | 39 | |
| 17 | 2005 | 65 | |
| 18 | 2004 | 38 | |
| 19 | 2003 | 76 | |
| 20 | 1995 | 106 |
About Tibor Vályi-Nagy
Tibor Vályi-Nagy is a scholar working on Epidemiology, Neurology and Ophthalmology, having authored 126 papers that have together received 4.0k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (54 papers), Cytomegalovirus and herpesvirus research (20 papers), Virus-based gene therapy research (10 papers), interferon and immune responses (8 papers), Intracranial Aneurysms: Treatment and Complications (8 papers), Glioma Diagnosis and Treatment (7 papers), Ocular Surface and Contact Lens (7 papers) and Antifungal resistance and susceptibility (7 papers). The work is most often cited by research in Epidemiology (1.9k citations), Virology (186 citations) and Immunology (751 citations). Tibor Vályi-Nagy has collaborated with scholars based in United States, Hungary and China. Frequent co-authors include Deepak Shukla, Vaibhav Tiwari, Terence S. Dermody, Christian Clément, Klara Valyi‐Nagy, Nicholas Fraser, Jianbo Yue, Satish L. Deshmane, P.M. Scanlan and Jian Liu. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Journal of Clinical Investigation.
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.