Vinh Tran

1.3k total citations
31 papers, 942 citations indexed

About

Vinh Tran is a scholar working on Molecular Biology, Organic Chemistry and Biotechnology. According to data from OpenAlex, Vinh Tran has authored 31 papers receiving a total of 942 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 13 papers in Organic Chemistry and 8 papers in Biotechnology. Recurrent topics in Vinh Tran's work include Carbohydrate Chemistry and Synthesis (11 papers), Enzyme Production and Characterization (8 papers) and Glycosylation and Glycoproteins Research (6 papers). Vinh Tran is often cited by papers focused on Carbohydrate Chemistry and Synthesis (11 papers), Enzyme Production and Characterization (8 papers) and Glycosylation and Glycoproteins Research (6 papers). Vinh Tran collaborates with scholars based in France, Germany and Denmark. Vinh Tran's co-authors include Charles Tellier, Michel Dion, Claude Rabiller, Jullien Drone, Sophie Gerber, Anne Imberty, David Tezé, Ian Young, Jean‐Noël Trochu and Jean-Pierre Gueffet and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Bioinformatics.

In The Last Decade

Vinh Tran

30 papers receiving 925 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Vinh Tran France 16 585 274 271 166 110 31 942
Xiaofang Cao China 12 573 1.0× 81 0.3× 110 0.4× 55 0.3× 19 0.2× 26 976
Soren Cole United Kingdom 19 566 1.0× 66 0.2× 106 0.4× 155 0.9× 19 0.2× 36 1.2k
Jianwen Fang United States 19 693 1.2× 58 0.2× 224 0.8× 47 0.3× 14 0.1× 40 977
Nobuhisa Shimba Japan 21 648 1.1× 145 0.5× 74 0.3× 91 0.5× 8 0.1× 41 1.1k
Tsau-Yen Lin United States 17 535 0.9× 127 0.5× 155 0.6× 54 0.3× 80 0.7× 24 963
Virginia L. Rath United States 16 871 1.5× 89 0.3× 239 0.9× 61 0.4× 8 0.1× 23 1.2k
Thomas A. Beyer United States 17 851 1.5× 117 0.4× 641 2.4× 102 0.6× 11 0.1× 21 1.3k
David Falck Netherlands 20 1.2k 2.0× 43 0.2× 204 0.8× 37 0.2× 8 0.1× 55 1.7k
Muchena J. Kailemia United States 13 758 1.3× 53 0.2× 199 0.7× 96 0.6× 6 0.1× 20 1.0k
C. F. Aguilar Argentina 11 442 0.8× 147 0.5× 76 0.3× 21 0.1× 28 0.3× 24 577

Countries citing papers authored by Vinh Tran

Since Specialization
Citations

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

Fields of papers citing papers by Vinh Tran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vinh Tran. 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 Vinh Tran. The network helps show where Vinh Tran may publish in the future.

Co-authorship network of co-authors of Vinh Tran

This figure shows the co-authorship network connecting the top 25 collaborators of Vinh Tran. A scholar is included among the top collaborators of Vinh Tran 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 Vinh Tran. Vinh Tran 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
1.
2.
Tran, Vinh, et al.. (2023). FAS: assessing the similarity between proteins using multi-layered feature architectures. Bioinformatics. 39(5). 7 indexed citations
3.
Bohnsack, Katherine E., et al.. (2021). Tracing Eukaryotic Ribosome Biogenesis Factors Into the Archaeal Domain Sheds Light on the Evolution of Functional Complexity. Frontiers in Microbiology. 12. 739000–739000. 12 indexed citations
4.
Tran, Vinh, et al.. (2020). Numerous severely twisted N‐acetylglucosamine conformations found in the protein databank. Proteins Structure Function and Bioinformatics. 88(10). 1376–1383. 3 indexed citations
5.
Tran, Vinh, Bastian Greshake Tzovaras, & Ingo Ebersberger. (2018). PhyloProfile: dynamic visualization and exploration of multi-layered phylogenetic profiles. Bioinformatics. 34(17). 3041–3043. 16 indexed citations
6.
Moretti, Ana Iochabel Soares, Matthias S. Leisegang, Leonardo Y. Tanaka, et al.. (2017). Conserved Gene Microsynteny Unveils Functional Interaction Between Protein Disulfide Isomerase and Rho Guanine-Dissociation Inhibitor Families. Scientific Reports. 7(1). 17262–17262. 16 indexed citations
7.
Saumonneau, Amélie, Pauline Peltier‐Pain, Dóra Molnár-Gábor, et al.. (2015). Design of an α-l-transfucosidase for the synthesis of fucosylated HMOs. Glycobiology. 26(3). cwv099–cwv099. 41 indexed citations
8.
Tezé, David, Jan Hendrickx, Mirjam Czjzek, et al.. (2013). Semi-rational approach for converting a GH1  -glycosidase into a  -transglycosidase. Protein Engineering Design and Selection. 27(1). 13–19. 77 indexed citations
9.
Tezé, David, et al.. (2012). Alkoxyamino glycoside acceptors for the regioselective synthesis of oligosaccharides using glycosynthases and transglycosidases. Bioorganic & Medicinal Chemistry Letters. 23(2). 448–451. 18 indexed citations
10.
Tan, Xuefei, Richland Tester, Gregory R. Luedtke, et al.. (2010). Design and synthesis of piperazine-indole p38α MAP kinase inhibitors with improved pharmacokinetic profiles. Bioorganic & Medicinal Chemistry Letters. 20(3). 828–831. 12 indexed citations
11.
12.
Albenne, Cécile, Lars K. Skov, Vinh Tran, et al.. (2006). Towards the molecular understanding of glycogen elongation by amylosucrase. Proteins Structure Function and Bioinformatics. 66(1). 118–126. 22 indexed citations
13.
Quéméner, Agnès, Jérôme Bernard, Erwan Mortier, et al.. (2006). Docking of human interleukin‐15 to its specific receptor α chain: Correlation between molecular modeling and mutagenesis experimental data. Proteins Structure Function and Bioinformatics. 65(3). 623–636. 9 indexed citations
14.
Dion, Michel, et al.. (2006). Directed Evolution of the α-l-Fucosidase from Thermotoga maritima into an α-l-Transfucosidase. Biochemistry. 46(4). 1022–1033. 80 indexed citations
15.
Drone, Jullien, et al.. (2005). Converting a β-Glycosidase into a β-Transglycosidase by Directed Evolution. Journal of Biological Chemistry. 280(44). 37088–37097. 85 indexed citations
16.
Perret, David, François Rousseau, Vinh Tran, & Hugues Gascan. (2005). Reversal of some viral IL‐6 electrostatic properties compared to IL‐6 contributes to a loss of alpha receptor component recruitment. Proteins Structure Function and Bioinformatics. 60(1). 14–26. 4 indexed citations
17.
Camadro, Jean‐Michel, et al.. (2003). Identification of the Subunit–Subunit Interface of Xenopus Rad51.1 Protein: Similarity to RecA. Journal of Molecular Biology. 335(4). 895–904. 11 indexed citations
18.
Guieysse, David, et al.. (2003). Towards a novel explanation of Pseudomonas cepacia lipase enantioselectivity via molecular modelling of the enantiomer trajectory into the active site. Tetrahedron Asymmetry. 14(13). 1807–1817. 41 indexed citations
19.
Tran, Vinh, et al.. (1992). A systematic docking approach. Application to the ?-cyclodextrin/phenyl-ethanol complex. Journal of Inclusion Phenomena and Macrocyclic Chemistry. 14(3-4). 271–284. 7 indexed citations
20.
Imberty, Anne, et al.. (1990). Data bank of three-dimensional structures of disaccharides, a tool to build 3-D structures of oligosaccharides. Glycoconjugate Journal. 7(1). 27–54. 75 indexed citations

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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