Viet Chi Tran

1.1k total citations
44 papers, 601 citations indexed

About

Viet Chi Tran is a scholar working on Genetics, Mathematical Physics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Viet Chi Tran has authored 44 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Genetics, 11 papers in Mathematical Physics and 8 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Viet Chi Tran's 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). Viet Chi Tran is often cited by papers focused on Stochastic processes and statistical mechanics (11 papers), Evolution and Genetic Dynamics (11 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (7 papers). Viet Chi Tran collaborates with scholars based in France, Canada and United Kingdom. Viet Chi Tran's 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 and has published in prestigious journals such as Hepatology, Biophysical Journal and Journal of Hepatology.

In The Last Decade

Viet Chi Tran

38 papers receiving 593 citations

Peers

Viet Chi Tran
Comparison fields: 5 of 107
  • Epidemiology 170
  • Hepatology 125
  • Public Health, Environmental and Occupational Health 97
  • Mathematical Physics 82
  • Modeling and Simulation 78
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Citations per field, relative to Viet Chi Tran
Viet Chi Tran · 1×
Citations per year, relative to Viet Chi Tran
Viet Chi Tran · 1×

Countries citing papers authored by Viet Chi Tran

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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.

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