Dinh‐Toi Chu
- Aquatic Science top 2%
- Genetics top 5%
- Mesenchymal stem cell research 6
- Biochemistry top 5%
- Pharmacy top 5%
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- Adipose Tissue and Metabolism 18
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- Adipokines, Inflammation, and Metabolic Diseases 10
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- CRISPR and Genetic Engineering 8
- Advanced biosensing and bioanalysis techniques 6
- RNA modifications and cancer 5
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- Obesity, Physical Activity, Diet 7
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- SARS-CoV-2 and COVID-19 Research 6
- Co-authors
- Pau Loke ShowK. RambabuYang TaoKit Wayne ChewApurav Krishna KoyandeVõ Trương Như NgọcVan-Huy PhamTran Dang Khoa
In The Last Decade
Dinh‐Toi Chu
151 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 183
- Renewable Energy, Sustainability and the Environment 679
- Aquatic Science 166
- Genetics 211
- Biochemistry 116
- Pharmacy 73
Countries citing papers authored by Dinh‐Toi Chu
This map shows the geographic impact of Dinh‐Toi Chu'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 Dinh‐Toi Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dinh‐Toi Chu more than expected).
Fields of papers citing papers by Dinh‐Toi Chu
This network shows the impact of papers produced by Dinh‐Toi Chu. 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 Dinh‐Toi Chu. The network helps show where Dinh‐Toi Chu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dinh‐Toi Chu, 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 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 4 | |
| 7 | 2022 | 20 | |
| 8 | 2022 | 3 | |
| 9 | 2021 | 8 | |
| 10 | 2020 | 127 | |
| 11 | 2019 | 16 | |
| 12 | 2019 | 15 | |
| 13 | 2019 | 3 | |
| 14 | 2019 | 6 | |
| 15 | 2019 | 11 | |
| 16 | 2018 | 21 | |
| 17 | 2018 | 152 | |
| 18 | 2017 | 14 | |
| 19 | 2016 | 23 | |
| 20 | Acquired Iris Depigmentation with Chronic Levobunolol Usage | 2006 | 0 |
About Dinh‐Toi Chu
Dinh‐Toi Chu is a scholar working on Oral Surgery, Orthodontics and Internal Medicine, having authored 160 papers that have together received 3.8k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (18 papers), Adipokines, Inflammation, and Metabolic Diseases (10 papers), CRISPR and Genetic Engineering (8 papers), Obesity, Physical Activity, Diet (7 papers), Advanced biosensing and bioanalysis techniques (6 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Mesenchymal stem cell research (6 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (679 citations), Aquatic Science (166 citations) and Genetics (211 citations). Dinh‐Toi Chu has collaborated with scholars based in Vietnam, India and Norway. Frequent co-authors include Pau Loke Show, K. Rambabu, Yang Tao, Kit Wayne Chew, Apurav Krishna Koyande, Võ Trương Như Ngọc, Van-Huy Pham, Yang Tao, Tran Dang Khoa and Nguyen Le Bao Tien. Their work appears in journals such as Progress in molecular biology and translational science, Diabetes & Metabolic Syndrome Clinical Research & Reviews, European Journal of Clinical Microbiology & Infectious Diseases, International Journal of Environmental Research and Public Health and Case Studies in Chemical and Environmental Engineering.
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.