Bang Tran

504 total citations
13 papers, 260 citations indexed

About

Bang Tran is a scholar working on Molecular Biology, Cancer Research and Ecology. According to data from OpenAlex, Bang Tran has authored 13 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Ecology. Recurrent topics in Bang Tran's work include Single-cell and spatial transcriptomics (6 papers), Gene expression and cancer classification (6 papers) and Bioinformatics and Genomic Networks (4 papers). Bang Tran is often cited by papers focused on Single-cell and spatial transcriptomics (6 papers), Gene expression and cancer classification (6 papers) and Bioinformatics and Genomic Networks (4 papers). Bang Tran collaborates with scholars based in United States, Thailand and Vietnam. Bang Tran's co-authors include Tin Nguyen, Hung Nguyen, Duc Tran, Hung N. Luu, Carlo La Vecchia, Duong Tran Anh, Ahad Hasan Tanim, David P. Wright, Seungil Ro and Quyen Nguyen and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Bang Tran

12 papers receiving 257 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bang Tran United States 7 208 44 40 21 17 13 260
Katja Ovchinnikova Germany 5 248 1.2× 31 0.7× 39 1.0× 25 1.5× 6 312
Tina Smets Belgium 8 149 0.7× 24 0.5× 25 0.6× 24 1.4× 11 295
Kai Cao China 10 229 1.1× 57 1.3× 41 1.0× 20 1.2× 29 373
Laurent Lucas France 11 138 0.7× 39 0.9× 10 0.3× 5 0.2× 36 415
Bianca Dumitrascu United States 9 195 0.9× 57 1.3× 36 0.9× 15 0.9× 17 301
Anna Liu United States 11 105 0.5× 13 0.3× 8 0.2× 7 0.4× 28 366
Xiao Fu United Kingdom 10 124 0.6× 15 0.3× 18 0.5× 9 0.5× 28 306
Yuansong Zeng China 6 166 0.8× 39 0.9× 39 1.0× 16 0.9× 7 190
Rebecca Elyanow United States 6 128 0.6× 17 0.4× 44 1.1× 6 0.4× 10 174
Dongyuan Song United States 7 292 1.4× 36 0.8× 81 2.0× 36 2.1× 16 330

Countries citing papers authored by Bang Tran

Since Specialization
Citations

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

Fields of papers citing papers by Bang Tran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bang Tran

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

All Works

13 of 13 papers shown
2.
Nguyen, Ha Nam, et al.. (2024). CCPA: cloud-based, self-learning modules for consensus pathway analysis using GO, KEGG and Reactome. Briefings in Bioinformatics. 25(Supplement_1). 8 indexed citations
3.
Pham, Nhat Truong, Quyen Nguyen, Bang Tran, et al.. (2022). Wave reduction efficiency for three classes of breakwaters on the coastal Mekong Delta. Applied Ocean Research. 129. 103362–103362. 22 indexed citations
4.
Tran, Bang, Duc Tran, Hung Nguyen, Seungil Ro, & Tin Nguyen. (2022). scCAN: single-cell clustering using autoencoder and network fusion. Scientific Reports. 12(1). 10267–10267. 14 indexed citations
5.
Tran, Duc, Bang Tran, Hung Nguyen, & Tin Nguyen. (2022). A novel method for single-cell data imputation using subspace regression. Scientific Reports. 12(1). 2697–2697. 7 indexed citations
6.
Nguyen, Quyen, Bang Tran, Nguyễn Công Thành, et al.. (2022). Physical and numerical modeling of four different shapes of breakwaters to test the suspended sediment trapping capacity in the Mekong Delta. Estuarine Coastal and Shelf Science. 279. 108141–108141. 6 indexed citations
7.
Tran, Duc, Hung Nguyen, Bang Tran, et al.. (2021). Fast and precise single-cell data analysis using a hierarchical autoencoder. Nature Communications. 12(1). 1029–1029. 85 indexed citations
8.
Tran, Bang, Quyen Nguyen, Sangam Shrestha, & Tin Nguyen. (2021). scIDS: Single-cell Imputation by combining Deep autoencoder neural networks and Subspace regression. 1–8. 1 indexed citations
9.
Nguyen, Hung, Duc Tran, Bang Tran, et al.. (2021). SMRT: Randomized Data Transformation for Cancer Subtyping and Big Data Analysis. Frontiers in Oncology. 11. 6 indexed citations
10.
Nguyen, Hung, et al.. (2020). A comprehensive survey of regulatory network inference methods using single cell RNA sequencing data. Briefings in Bioinformatics. 22(3). 98 indexed citations
11.
Nguyen, Hung, et al.. (2020). Disease subtyping using community detection from consensus networks. 3 indexed citations
12.
Nguyen, Trung Hieu, et al.. (2020). TOTAL SUSPENDED SOLID DISTRIBUTION IN HAU RIVER USING SENTINEL 2A SATELLITE IMAGERY. SHILAP Revista de lepidopterología. VI-3/W1-2020. 91–97. 6 indexed citations
13.
Tran, Bang, Duc Tran, Hung Nguyen, Nam S. Vo, & Tin Nguyen. (2019). RIA: a novel Regression-based Imputation Approach for single-cell RNA sequencing. 4 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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