Ðắc-Trung Nguyễn
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods 21
- Pharmacology top 2%
- Pharmacogenetics and Drug Metabolism 9
- Molecular Biology top 10%
- Metabolomics and Mass Spectrometry Studies 9
- Biomedical Text Mining and Ontologies 5
- Bioinformatics and Genomic Networks 5
- Biophysics top 5%
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- Genomics and Rare Diseases 9
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- Analytical Chemistry and Chromatography 5
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- Machine Learning in Materials Science 4
- Co-authors
- Noel SouthallRuili HuangAjit JadhavChristopher P. AustinAnton SimeonovYuhong WangAdam YasgarPaul Shinn
- Partner nations
- United StatesDenmarkSweden
In The Last Decade
Ðắc-Trung Nguyễn
40 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 140
- Computational Theory and Mathematics 790
- Pharmacology 196
- Molecular Biology 1.1k
- Biophysics 52
- Immunology 167
Countries citing papers authored by Ðắc-Trung Nguyễn
This map shows the geographic impact of Ðắc-Trung Nguyễn'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 Ðắc-Trung Nguyễn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ðắc-Trung Nguyễn more than expected).
Fields of papers citing papers by Ðắc-Trung Nguyễn
This network shows the impact of papers produced by Ðắc-Trung Nguyễn. 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 Ðắc-Trung Nguyễn. The network helps show where Ðắc-Trung Nguyễn may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ðắc-Trung Nguyễn, 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 | 2024 | 4 | |
| 2 | 2022 | 50 | |
| 3 | 2022 | 32 | |
| 4 | 2021 | 36 | |
| 5 | 2021 | 11 | |
| 6 | 2021 | 27 | |
| 7 | 2020 | 21 | |
| 8 | 2020 | 90 | |
| 9 | 2020 | 26 | |
| 10 | 2020 | 1 | |
| 11 | 2019 | 6 | |
| 12 | 2019 | 176 | |
| 13 | 2018 | 31 | |
| 14 | 2013 | 18 | |
| 15 | 2013 | 45 | |
| 16 | 2013 | 10 | |
| 17 | 2011 | 61 | |
| 18 | 2010 | 95 | |
| 19 | 2009 | 45 | |
| 20 | 2004 | 23 |
About Ðắc-Trung Nguyễn
Ðắc-Trung Nguyễn is a scholar working on Computational Theory and Mathematics, Pharmacology and Spectroscopy, having authored 40 papers that have together received 1.9k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (21 papers), Genomics and Rare Diseases (9 papers), Metabolomics and Mass Spectrometry Studies (9 papers), Pharmacogenetics and Drug Metabolism (9 papers), Biomedical Text Mining and Ontologies (5 papers), Analytical Chemistry and Chromatography (5 papers), Bioinformatics and Genomic Networks (5 papers) and Machine Learning in Materials Science (4 papers). The work is most often cited by research in Computational Theory and Mathematics (790 citations), Pharmacology (196 citations) and Molecular Biology (1.1k citations). Ðắc-Trung Nguyễn has collaborated with scholars based in United States, Denmark and Sweden. Frequent co-authors include Noel Southall, Ruili Huang, Ajit Jadhav, Christopher P. Austin, Anton Simeonov, Yuhong Wang, Adam Yasgar, Paul Shinn, Tongan Zhao and Vishal B. Siramshetty. Their work appears in journals such as Nucleic Acids Research, Scientific Reports and The FASEB Journal.
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.