Quang Tran

6.4k total citations
14 papers, 116 citations indexed

About

Quang Tran is a scholar working on Molecular Biology, Artificial Intelligence and Plant Science. According to data from OpenAlex, Quang Tran has authored 14 papers receiving a total of 116 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Artificial Intelligence and 5 papers in Plant Science. Recurrent topics in Quang Tran's work include Genomics and Phylogenetic Studies (10 papers), Algorithms and Data Compression (5 papers) and Chromosomal and Genetic Variations (3 papers). Quang Tran is often cited by papers focused on Genomics and Phylogenetic Studies (10 papers), Algorithms and Data Compression (5 papers) and Chromosomal and Genetic Variations (3 papers). Quang Tran collaborates with scholars based in United States, France and Belgium. Quang Tran's co-authors include Vinhthuy Phan, Renaud Vincentelli, Marco Vignuzzi, Nicolas Wolff, Jean‐Claude Twizere, Veronica V. Rezelj, Gergő Gógl, Célia Caillet‐Saguy, Nam S. Vo and Shanshan Gao and has published in prestigious journals such as Blood, Bioinformatics and PLoS ONE.

In The Last Decade

Quang Tran

12 papers receiving 114 citations

Peers

Quang Tran
Jason Yeung United States
Irene Díaz‐López Spain
Sonja B. Lauterbach South Africa
Xiang‐Wei Kong China
Shaghayegh Farhangmehr Canada
Hadil Onallah Israel
Chengcheng Fan United States
Yuewen Luo China
Katerina Bendak Australia
Michael A. Durney United States
Jason Yeung United States
Quang Tran
Citations per year, relative to Quang Tran Quang Tran (= 1×) peers Jason Yeung

Countries citing papers authored by Quang Tran

Since Specialization
Citations

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

Fields of papers citing papers by Quang Tran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Quang Tran

This figure shows the co-authorship network connecting the top 25 collaborators of Quang Tran. A scholar is included among the top collaborators of Quang 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 Quang Tran. Quang Tran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
2.
Caillet‐Saguy, Célia, Veronica V. Rezelj, Gergő Gógl, et al.. (2021). Host PDZ‐containing proteins targeted by SARS‐CoV‐2. FEBS Journal. 288(17). 5148–5162. 47 indexed citations
3.
Tarlock, Katherine, Rhonda E. Ries, Yi‐Cheng Wang, et al.. (2021). KMT2A Partial Tandem Duplications (KMT2A-PTD) Is a Rare, but Recurrent Genomic Event in Childhood AML and Associated with High Rate of Co-Occurring FLT3 Mutations. Blood. 138(Supplement 1). 609–609. 1 indexed citations
4.
Tran, Quang & Vinhthuy Phan. (2020). Assembling Reads Improves Taxonomic Classification of Species. Genes. 11(8). 946–946. 17 indexed citations
5.
Tran, Quang & Alexej Abyzov. (2020). LongAGE: defining breakpoints of genomic structural variants through optimal and memory efficient alignments of long reads. Bioinformatics. 37(7). 1015–1017. 2 indexed citations
6.
Tran, Quang, et al.. (2020). Active Learning: The Almost Silver Bullet. 20. 131–135. 1 indexed citations
7.
Gao, Shanshan, Quang Tran, & Vinhthuy Phan. (2019). Understand Effective Coverage by Mapped Reads using Genome Repeat Complexity. EPiC series in computing. 60. 65–55.
8.
Tran, Quang, et al.. (2017). Using 16S rRNA gene as marker to detect unknown bacteria in microbial communities. BMC Bioinformatics. 18(S14). 499–499. 10 indexed citations
9.
Tran, Quang, Shanshan Gao, & Vinhthuy Phan. (2016). Analysis of optimal alignments unfolds aligners’ bias in existing variant profiles. BMC Bioinformatics. 17(S13). 349–349. 3 indexed citations
10.
Phan, Vinhthuy, Shanshan Gao, Quang Tran, & Nam S. Vo. (2015). How genome complexity can explain the difficulty of aligning reads to genomes. BMC Bioinformatics. 16(S17). S3–S3. 5 indexed citations
11.
Tran, Quang, Shanshan Gao, Nam S. Vo, & Vinhthuy Phan. (2015). A linear model for predicting performance of short-read aligners using genome complexity. BMC Bioinformatics. 16(S15). 1 indexed citations
12.
Vo, Nam S., Quang Tran, Nobal B. Niraula, & Vinhthuy Phan. (2014). RandAL: a randomized approach to aligning DNA sequences to reference genomes. BMC Genomics. 15(S5). S2–S2. 3 indexed citations
13.
Phan, Vinhthuy, Shanshan Gao, Quang Tran, & Nam S. Vo. (2014). How genome complexity can explain the hardness of aligning reads to genomes. 1–2. 2 indexed citations
14.
Vo, Nam S., Quang Tran, Nobal B. Niraula, & Vinhthuy Phan. (2013). A randomized algorithm for aligning DNA sequences to reference genomes. 287. 1–2.

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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2026