Dat Tran

2.9k total citations · 1 hit paper
33 papers, 1.5k citations indexed

About

Dat Tran is a scholar working on Epidemiology, Infectious Diseases and Health. According to data from OpenAlex, Dat Tran has authored 33 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Epidemiology, 10 papers in Infectious Diseases and 5 papers in Health. Recurrent topics in Dat Tran's work include Influenza Virus Research Studies (17 papers), Respiratory viral infections research (14 papers) and Pneumonia and Respiratory Infections (8 papers). Dat Tran is often cited by papers focused on Influenza Virus Research Studies (17 papers), Respiratory viral infections research (14 papers) and Pneumonia and Respiratory Infections (8 papers). Dat Tran collaborates with scholars based in Canada, United States and Switzerland. Dat Tran's co-authors include Dominik Mertz, Michelle Science, Po-Po Lam, Shaza A. Fadel, Jennie Johnstone, Stefan P. Kuster, E. Fernández, Neera Bhatnagar, Tae Hyong Kim and Mark Loeb and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and PEDIATRICS.

In The Last Decade

Dat Tran

33 papers receiving 1.4k citations

Hit Papers

Populations at risk for severe or complicated influenza i... 2013 2026 2017 2021 2013 100 200 300 400

Peers

Dat Tran
Comparison fields: 5 of 92
  • Epidemiology 1.1k
  • Infectious Diseases 484
  • Pulmonary and Respiratory Medicine 187
  • Health 153
  • Immunology 94
Replace Sharon Balter with:
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Irene Rivero‐Calle Spain
Kimberly M. Shea United States
Yi Luo United States
George Zahariadis Canada
Michal Stein Israel
Ángel Vila-Córcoles Spain
Arianne B. van Gageldonk‐Lafeber Netherlands
Chee Fu Yung Singapore
Sharon Balter United States View profile →
Citations per field, relative to Dat Tran
Dat Tran · 1×
Citations per year, relative to Dat Tran
Dat Tran · 1×

Countries citing papers authored by Dat Tran

Since Specialization
Citations

This map shows the geographic impact of Dat 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 Dat Tran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dat Tran more than expected).

Fields of papers citing papers by Dat Tran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dat 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 Dat Tran. The network helps show where Dat Tran may publish in the future.

Co-authorship network of co-authors of Dat Tran

This figure shows the co-authorship network connecting the top 25 collaborators of Dat Tran. A scholar is included among the top collaborators of Dat 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 Dat Tran. Dat 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 5
2 2
3 26
4 20
5 15
6 14
7 55
8 55
9 122
10 20
11 23
12
Populations at risk for severe or complicated influenza illness: systematic review and meta-analysis breakdown →
449
13 70
14 14
15 15
16 57
17 196
18 41
19 42
20 34

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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