Ðắc-Trung Nguyễn

9.1k citations
40 papers · 1.9k indexed · h-index 25
Topics
Computational Drug Discovery Methods (21 papers)Genomics and Rare Diseases (9 papers)Metabolomics and Mass Spectrometry Studies (9 papers)

In The Last Decade

Ðắc-Trung Nguyễn

40 papers receiving 1.9k citations

Peers

Ðắc-Trung Nguyễn
Comparison fields: 5 of 140
  • Molecular Biology 1.1k
  • Computational Theory and Mathematics 790
  • Pharmacology 196
  • Oncology 194
  • Immunology 167
Replace Adam Yasgar with:
Adam Yasgar United States
Hongmao Sun United States
William D. Pennie United States
Tuğba Önal-Süzek Türkiye
Andrea Volkamer Germany
Rita Santos United Kingdom
S. Barret Kalindjian United Kingdom
Owen B. Wallace United States
María Paula Magariños Argentina
Ðắc-Trung Nguyễn relative to Adam Yasgar United States Adam Yasgar's profile →
Citations per field
00.5×1.6×
Adam Yasgar · 1×
Citations per year

Countries citing papers authored by Ðắc-Trung Nguyễn

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Ðắc-Trung Nguyễn

This figure shows the co-authorship network connecting the top 25 collaborators of Ðắc-Trung Nguyễn. A scholar is included among the top collaborators of Ðắc-Trung Nguyễn 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 Ðắc-Trung Nguyễn. Ðắc-Trung Nguyễn 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
#WorkIndexed citations
1 4
2 50
3 32
4 36
5 11
6 27
7 21
8 90
9 26
10 1
11 6
12 176
13 31
14 18
15 45
16 10
17 61
18 95
19 45
20 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) and Metabolomics and Mass Spectrometry Studies (9 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.

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