Viet Chi Tran
- Epidemiology
- Hepatology top 5%
- Public Health, Environmental and Occupational Health
- Mathematical Physics top 10%
- Modeling and Simulation top 5%
- Co-authors
- Jean‐Marc AllainAnthony CousienYannick Goulam HoussenIvan GusachenkoMichaël G. B. BlumMarie‐Claire Schanne‐KleinYazdan YazdanpanahSylvie Deuffic‐Burban
- Topics
- Stochastic processes and statistical mechanics (11 papers)Evolution and Genetic Dynamics (11 papers)Mathematical and Theoretical Epidemiology and Ecology Models (7 papers)
- Partner nations
- FranceCanadaUnited Kingdom
In The Last Decade
Viet Chi Tran
38 papers receiving 593 citations
Peers
Comparison fields: 5 of 107
- Epidemiology 170
- Hepatology 125
- Public Health, Environmental and Occupational Health 97
- Mathematical Physics 82
- Modeling and Simulation 78
Countries citing papers authored by Viet Chi Tran
This map shows the geographic impact of Viet Chi Tran'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 Viet Chi Tran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Viet Chi Tran more than expected).
Fields of papers citing papers by Viet Chi Tran
This network shows the impact of papers produced by Viet Chi Tran. 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 Viet Chi Tran. The network helps show where Viet Chi Tran may publish in the future.
Co-authorship network of co-authors of Viet Chi Tran
This figure shows the co-authorship network connecting the top 25 collaborators of Viet Chi Tran. A scholar is included among the top collaborators of Viet Chi Tran 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 Viet Chi Tran. Viet Chi Tran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 12 | |
| 6 | 0 | |
| 7 | 13 | |
| 8 | 29 | |
| 9 | 0 | |
| 10 | 3 | |
| 11 | 6 | |
| 12 | 6 | |
| 13 | 18 | |
| 14 | Dynamic modelling of HCV transmission among drug users: a methodological review | 1 |
| 15 | 101 | |
| 16 | 8 | |
| 17 | 4 | |
| 18 | 38 | |
| 19 | 40 | |
| 20 | 3 |
About Viet Chi Tran
Viet Chi Tran is a scholar working on Mathematical Physics, Statistics and Probability and Modeling and Simulation, having authored 44 papers that have together received 601 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (11 papers), Evolution and Genetic Dynamics (11 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (7 papers). The work is most often cited by research in Modeling and Simulation (78 citations), Hepatology (125 citations) and Biophysics (67 citations). Viet Chi Tran has collaborated with scholars based in France, Canada and United Kingdom. Frequent co-authors include Jean‐Marc Allain, Anthony Cousien, Yannick Goulam Houssen, Ivan Gusachenko, Michaël G. B. Blum, Marie‐Claire Schanne‐Klein, Yazdan Yazdanpanah, Sylvie Deuffic‐Burban, Sylvie Méléard and Régis Ferrière. Their work appears in journals such as Hepatology, Biophysical Journal and Journal of Hepatology.
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.