Quoc‐Tuan Do

1.5k citations
23 papers · 1.1k indexed · 1 hit paper · h-index 15
Topics
Computational Drug Discovery Methods (4 papers)Vanadium and Halogenation Chemistry (2 papers)Chemical Synthesis and Analysis (2 papers)
Partner nations
FranceGermanyMexico

In The Last Decade

Quoc‐Tuan Do

22 papers receiving 1.0k citations

Hit Papers

Myocardial Fibrosis: Biomedical Research from Bench to Be...20172026202020232017100200300

Peers

Quoc‐Tuan Do
Comparison fields: 5 of 112
  • Molecular Biology 419
  • Cardiology and Cardiovascular Medicine 200
  • Computational Theory and Mathematics 166
  • Organic Chemistry 149
  • Inorganic Chemistry 122
Replace Antonio Laghezza with:
Antonio Laghezza Italy
Nilanjan Ghosh India
Anwar Anwar‐Mohamed Canada
Xiangbao Meng China
Yong Yin China
Kevin J. Wells‐Knecht United States
Usman Ghani Saudi Arabia
Yuguang Wang China
Ying Leng China
Yong-Seok Heo South Korea
Quoc‐Tuan Do relative to Antonio Laghezza Italy Antonio Laghezza's profile →
Citations per field
00.5×3.9×
Antonio Laghezza · 1×
Citations per year

Countries citing papers authored by Quoc‐Tuan Do

Since Specialization
Citations

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

Fields of papers citing papers by Quoc‐Tuan Do

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Quoc‐Tuan Do. 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 Quoc‐Tuan Do. The network helps show where Quoc‐Tuan Do may publish in the future.

Co-authorship network of co-authors of Quoc‐Tuan Do

This figure shows the co-authorship network connecting the top 25 collaborators of Quoc‐Tuan Do. A scholar is included among the top collaborators of Quoc‐Tuan Do 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 Quoc‐Tuan Do. Quoc‐Tuan Do 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 0
2 13
3 13
4 3
5 5
6
Myocardial Fibrosis: Biomedical Research from Bench to Bedsidebreakdown →
302
7 23
8 1
9 25
10 87
11 61
12 139
13 19
14 30
15 27
16 28
17 46
18 134
19 12
20 19

About Quoc‐Tuan Do

Quoc‐Tuan Do is a scholar working on Biochemistry, Toxicology and Computational Theory and Mathematics, having authored 23 papers that have together received 1.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Vanadium and Halogenation Chemistry (2 papers) and Chemical Synthesis and Analysis (2 papers). The work is most often cited by research in Biochemistry (63 citations), Computational Theory and Mathematics (166 citations) and Inorganic Chemistry (122 citations). Quoc‐Tuan Do has collaborated with scholars based in France, Germany and Mexico. Frequent co-authors include Philippe Bernard, Thomas Scior, Éric Arnoult, Isbaal Ramos, Frédéric Jaisser, Faı̈ez Zannad, Hüseyin Firat, Arantxa González, Thomas Thum and Johannes Winkler. Their work appears in journals such as Scientific Reports, Journal of Medicinal Chemistry and Journal of Neurochemistry.

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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