Tibor Vályi-Nagy
- Epidemiology top 1%
- Molecular Biology top 10%
- Immunology top 5%
- Genetics top 5%
- Infectious Diseases top 5%
- Co-authors
- Deepak ShuklaVaibhav TiwariTerence S. DermodyChristian ClémentKlara Valyi‐NagyNicholas FraserJianbo YueSatish L. Deshmane
- Topics
- Herpesvirus Infections and Treatments (54 papers)Cytomegalovirus and herpesvirus research (20 papers)Virus-based gene therapy research (10 papers)
- Cited by
- EpidemiologyVirologyImmunology
- 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
- Molecular Biology 1.1k
- Immunology 751
- Genetics 542
- Infectious Diseases 534
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 of co-authors of Tibor Vályi-Nagy
This figure shows the co-authorship network connecting the top 25 collaborators of Tibor Vályi-Nagy. A scholar is included among the top collaborators of Tibor Vályi-Nagy 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 Tibor Vályi-Nagy. Tibor Vályi-Nagy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 5 | |
| 7 | 11 | |
| 8 | 8 | |
| 9 | Up-regulation Of Syndecan Expression May Be A Viral-induced Mechanism For HSV-1 Shedding | 0 |
| 10 | 93 | |
| 11 | Trends in HSV-1 Infection of Ex-Vivo Corneal Tissue and Correlation to Heparan Sulfate Expression | 0 |
| 12 | 35 | |
| 13 | 194 | |
| 14 | 110 | |
| 15 | 108 | |
| 16 | 39 | |
| 17 | 65 | |
| 18 | 38 | |
| 19 | 76 | |
| 20 | 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) and Virus-based gene therapy research (10 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.