Thi Loi Dao
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies 9
- SARS-CoV-2 and COVID-19 Research 6
- Tuberculosis Research and Epidemiology 4
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies 6
- Neurology top 10%
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- Respiratory viral infections research 5
- Pneumonia and Respiratory Infections 4
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- Travel-related health issues 4
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- Homelessness and Social Issues 4
- Co-authors
- Van Thuan HoangPhilippe GautretMatthieu MillionPhilippe ColsonNhu Ngoc NguyenDidier RaoultTran Duc Anh LyCarole Eldin
- Journals
- SHILAP Revista de lepidopterología (1 paper)Vaccine (1 paper)Clinical Microbiology and Infection (2 papers)
- Partner nations
- VietnamFranceSaudi Arabia
In The Last Decade
Thi Loi Dao
36 papers receiving 424 citations
Peers
Comparison fields: 5 of 98
- Infectious Diseases 220
- Modeling and Simulation 38
- Neurology 94
- Molecular Medicine 26
- Applied Microbiology and Biotechnology 9
Countries citing papers authored by Thi Loi Dao
This map shows the geographic impact of Thi Loi Dao'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 Thi Loi Dao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thi Loi Dao more than expected).
Fields of papers citing papers by Thi Loi Dao
This network shows the impact of papers produced by Thi Loi Dao. 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 Thi Loi Dao. The network helps show where Thi Loi Dao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Thi Loi Dao, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 2 | |
| 8 | 2022 | 62 | |
| 9 | 2021 | 0 | |
| 10 | 2021 | 6 | |
| 11 | 2021 | 13 | |
| 12 | 2021 | 43 | |
| 13 | 2021 | 15 | |
| 14 | 2020 | 3 | |
| 15 | 2020 | 3 | |
| 16 | 2020 | 86 | |
| 17 | 2020 | 10 | |
| 18 | 2020 | 4 | |
| 19 | 2020 | 14 | |
| 20 | The Presence of Acinetobacter baumannii DNA on the Skin of Homeless People and Its Relationship With Body Lice Infestation. | 2019 | 0 |
About Thi Loi Dao
Thi Loi Dao is a scholar working on Modeling and Simulation, Infectious Diseases and Molecular Medicine, having authored 42 papers that have together received 431 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (9 papers), SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 epidemiological studies (6 papers), Respiratory viral infections research (5 papers), Travel-related health issues (4 papers), Homelessness and Social Issues (4 papers), Tuberculosis Research and Epidemiology (4 papers) and Pneumonia and Respiratory Infections (4 papers). The work is most often cited by research in Infectious Diseases (220 citations), Modeling and Simulation (38 citations) and Neurology (94 citations). Thi Loi Dao has collaborated with scholars based in Vietnam, France and Saudi Arabia. Frequent co-authors include Van Thuan Hoang, Philippe Gautret, Matthieu Million, Philippe Colson, Nhu Ngoc Nguyen, Didier Raoult, Tran Duc Anh Ly, Carole Eldin, P. Dudouet and Jean‐Christophe Lagier. Their work appears in journals such as SHILAP Revista de lepidopterología, Vaccine and Clinical Microbiology and Infection.
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.