Vān Kính Nguyễn
- Epidemiology
- Infectious Diseases top 10%
- Modeling and Simulation top 2%
- Public Health, Environmental and Occupational Health top 10%
- Molecular Biology
- Co-authors
- Esteban A. Hernandez‐VargasAlessandro BoianelliMichael Meyer‐HermannDunja BruderRafael MikolajczykSabine Stegemann‐KoniszewskiCarlos A. GuzmánKai Schulze
- Topics
- COVID-19 epidemiological studies (8 papers)Influenza Virus Research Studies (7 papers)HIV/AIDS Research and Interventions (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEClinical Infectious Diseases
- Partner nations
- GermanyVietnamUnited Kingdom
In The Last Decade
Vān Kính Nguyễn
28 papers receiving 537 citations
Peers
Comparison fields: 5 of 104
- Epidemiology 211
- Infectious Diseases 177
- Modeling and Simulation 155
- Public Health, Environmental and Occupational Health 150
- Molecular Biology 74
Countries citing papers authored by Vān Kính Nguyễn
This map shows the geographic impact of Vān Kính Nguyễn'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 Vān Kính Nguyễn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vān Kính Nguyễn more than expected).
Fields of papers citing papers by Vān Kính Nguyễn
This network shows the impact of papers produced by Vān Kính Nguyễn. 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 Vān Kính Nguyễn. The network helps show where Vān Kính Nguyễn may publish in the future.
Co-authorship network of co-authors of Vān Kính Nguyễn
This figure shows the co-authorship network connecting the top 25 collaborators of Vān Kính Nguyễn. A scholar is included among the top collaborators of Vān Kính Nguyễn 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 Vān Kính Nguyễn. Vān Kính Nguyễn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 7 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 11 | |
| 7 | 10 | |
| 8 | 28 | |
| 9 | 32 | |
| 10 | 14 | |
| 11 | 30 | |
| 12 | 40 | |
| 13 | 16 | |
| 14 | 33 | |
| 15 | 4 | |
| 16 | 22 | |
| 17 | 8 | |
| 18 | 33 | |
| 19 | 40 | |
| 20 | 28 |
About Vān Kính Nguyễn
Vān Kính Nguyễn is a scholar working on Applied Microbiology and Biotechnology, Modeling and Simulation and Infectious Diseases, having authored 28 papers that have together received 551 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (8 papers), Influenza Virus Research Studies (7 papers) and HIV/AIDS Research and Interventions (5 papers). The work is most often cited by research in Modeling and Simulation (155 citations), Applied Microbiology and Biotechnology (40 citations) and Infectious Diseases (177 citations). Vān Kính Nguyễn has collaborated with scholars based in Germany, Vietnam and United Kingdom. Frequent co-authors include Esteban A. Hernandez‐Vargas, Alessandro Boianelli, Michael Meyer‐Hermann, Dunja Bruder, Rafael Mikolajczyk, Sabine Stegemann‐Koniszewski, Carlos A. Guzmán, Kai Schulze, Franklin R. Toapanta and Esther Wilk. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Clinical Infectious Diseases.
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.