Sơn Tùng Ngô

3.8k citations
103 papers · 2.4k indexed · 1 hit paper · h-index 26
Topics
Protein Structure and Dynamics (39 papers)Computational Drug Discovery Methods (39 papers)Alzheimer's disease research and treatments (27 papers)

In The Last Decade

Sơn Tùng Ngô

98 papers receiving 2.4k citations

Hit Papers

Autodock Vina Adopts More Accurate Binding Poses but Auto...20192026202120232019100200300

Peers

Sơn Tùng Ngô
Comparison fields: 5 of 124
  • Molecular Biology 1.3k
  • Computational Theory and Mathematics 907
  • Physiology 699
  • Organic Chemistry 332
  • Pharmacology 268
Replace Mohammad Hassan Baig with:
Mohammad Hassan Baig South Korea
Afzal Hussain Saudi Arabia
Van V. Vu Vietnam
Gulam Mustafa Hasan India
Xuan-Yu Meng China
Vikash Kumar Dubey India
Margherita Brindisi Italy
Youhoon Chong South Korea
Faez Iqbal Khan China
Koen H. G. Verschueren Belgium
Sơn Tùng Ngô relative to Mohammad Hassan Baig South Korea Mohammad Hassan Baig's profile →
Citations per field
00.5×2.8×
Mohammad Hassan Baig · 1×
Citations per year

Countries citing papers authored by Sơn Tùng Ngô

Since Specialization
Citations

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

Fields of papers citing papers by Sơn Tùng Ngô

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sơn Tùng Ngô. 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 Sơn Tùng Ngô. The network helps show where Sơn Tùng Ngô may publish in the future.

Co-authorship network of co-authors of Sơn Tùng Ngô

This figure shows the co-authorship network connecting the top 25 collaborators of Sơn Tùng Ngô. A scholar is included among the top collaborators of Sơn Tùng Ngô 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 Sơn Tùng Ngô. Sơn Tùng Ngô 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 1
2 1
3 0
4 0
5 8
6 3
7 29
8 21
9 47
10 24
11 6
12 15
13 35
14 18
15 15
16 16
17 7
18 30
19 18
20 16

About Sơn Tùng Ngô

Sơn Tùng Ngô is a scholar working on Computational Theory and Mathematics, Physiology and Virology, having authored 103 papers that have together received 2.4k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (39 papers), Computational Drug Discovery Methods (39 papers) and Alzheimer's disease research and treatments (27 papers). The work is most often cited by research in Computational Theory and Mathematics (907 citations), Physiology (699 citations) and Molecular Biology (1.3k citations). Sơn Tùng Ngô has collaborated with scholars based in Vietnam, France and United Kingdom. Frequent co-authors include Van V. Vu, Mai Suan Li, Trung Hai Nguyen, Phạm Minh Quân, Philippe Derreumaux, Minh Tho Nguyen, Nguyễn Minh Tâm, Nguyễn Thanh Tùng, Viet Hoang Man and Phuong H. Nguyen. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Journal of Applied Physics.

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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