Vo Van Ban
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 5
- COVID-19 Clinical Research Studies 4
-
- Infection Control and Ventilation 2
- Co-authors
- Tran Quy (7 shared papers)Naoto Keicho (7 shared papers)Lê Dang Hà (7 shared papers)Hoang Thuy Long (6 shared papers)Takehiko Sasazuki (7 shared papers)Nguyen Chi Phi (6 shared papers)Tadatoshi Kuratsuji (6 shared papers)S Itoyama (5 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (2 papers)American Journal of Tropical Medicine and Hygiene (1 paper)Human Immunology (1 paper)American Journal of Medical Genetics Part A (1 paper)Japanese Journal of Infectious Diseases (1 paper)
- Partner nations
- VietnamJapanUnited States
In The Last Decade
Vo Van Ban
7 papers receiving 388 citations
Peers
Comparison fields: 5 of 50
- Infectious Diseases 224
- Modeling and Simulation 39
- Immunology 80
- Neurology 39
- Obstetrics and Gynecology 15
Countries citing papers authored by Vo Van Ban
This map shows the geographic impact of Vo Van Ban'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 Vo Van Ban with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vo Van Ban more than expected).
Fields of papers citing papers by Vo Van Ban
This network shows the impact of papers produced by Vo Van Ban. 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 Vo Van Ban. The network helps show where Vo Van Ban may publish in the future.
Co-authors
The 25 scholars most cited alongside Vo Van Ban, 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 | 2005 | 94 | |
| 2 | 2009 | 82 | |
| 3 | 2004 | 76 | |
| 4 | 2005 | 51 | |
| 5 | 2005 | 44 | |
| 6 | 2008 | 36 | |
| 7 | 2004 | 12 |
About Vo Van Ban
Vo Van Ban is a scholar working on Infectious Diseases, Pulmonary and Respiratory Medicine, Epidemiology, Modeling and Simulation and Molecular Biology, having authored 7 papers that have together received 395 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), COVID-19 Clinical Research Studies (4 papers), Infection Control and Ventilation (2 papers), Influenza Virus Research Studies (2 papers), COVID-19 epidemiological studies (2 papers), Long-Term Effects of COVID-19 (1 paper), Viral Infections and Immunology Research (1 paper) and vaccines and immunoinformatics approaches (1 paper). The work is most often cited by research in Infectious Diseases (224 citations), Modeling and Simulation (39 citations), Immunology (80 citations), Neurology (39 citations) and Obstetrics and Gynecology (15 citations). Vo Van Ban has collaborated with scholars based in Vietnam, Japan and United States. Frequent co-authors include Tran Quy, Naoto Keicho, Lê Dang Hà, Hoang Thuy Long, Takehiko Sasazuki, Nguyen Chi Phi, Tadatoshi Kuratsuji, S Itoyama, Minako Hijikata and Teruo Kirikae. Their work appears in journals such as Biochemical and Biophysical Research Communications, American Journal of Tropical Medicine and Hygiene, Human Immunology, American Journal of Medical Genetics Part A and Japanese Journal of 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.