Duc Tran

1.3k total citations
28 papers, 660 citations indexed

About

Duc Tran is a scholar working on Molecular Biology, Cancer Research and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Duc Tran has authored 28 papers receiving a total of 660 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 5 papers in Cancer Research and 4 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Duc Tran's work include Single-cell and spatial transcriptomics (7 papers), Gene expression and cancer classification (6 papers) and Bioinformatics and Genomic Networks (6 papers). Duc Tran is often cited by papers focused on Single-cell and spatial transcriptomics (7 papers), Gene expression and cancer classification (6 papers) and Bioinformatics and Genomic Networks (6 papers). Duc Tran collaborates with scholars based in United States, Portugal and Italy. Duc Tran's co-authors include Tin Nguyen, Hung Nguyen, Bang Tran, John C. Cushman, Jürgen E.W. Polle, EonSeon Jin, Jon Magnuson, Hung N. Luu, Juergen Polle and João Varela and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Duc Tran

26 papers receiving 655 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Duc Tran United States 13 511 201 64 55 54 28 660
Claudio Forcato Italy 12 511 1.0× 146 0.7× 94 1.5× 51 0.9× 4 0.1× 21 824
Cláudia Florindo Portugal 11 258 0.5× 186 0.9× 15 0.2× 31 0.6× 5 0.1× 15 526
Zairen Sun United States 9 524 1.0× 170 0.8× 22 0.3× 9 0.2× 6 0.1× 12 641
Mathieu Baudet France 6 395 0.8× 140 0.7× 48 0.8× 22 0.4× 2 0.0× 7 479
Alexandra Gabashvili Israel 8 356 0.7× 40 0.2× 42 0.7× 40 0.7× 6 0.1× 9 488
Sara Burmester Germany 6 438 0.9× 32 0.2× 168 2.6× 20 0.4× 10 0.2× 7 558
Xiaosen Jiang China 11 203 0.4× 33 0.2× 22 0.3× 37 0.7× 7 0.1× 28 393
Agata K. Żupańska United States 14 492 1.0× 55 0.3× 17 0.3× 105 1.9× 6 0.1× 20 888
An D United States 5 182 0.4× 100 0.5× 25 0.4× 17 0.3× 2 0.0× 13 270
Nico Ullrich Germany 5 322 0.6× 404 2.0× 5 0.1× 22 0.4× 3 0.1× 5 494

Countries citing papers authored by Duc Tran

Since Specialization
Citations

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

Fields of papers citing papers by Duc Tran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Duc Tran

This figure shows the co-authorship network connecting the top 25 collaborators of Duc Tran. A scholar is included among the top collaborators of Duc 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 Duc Tran. Duc 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.
Zhang, Pu, Xiangyu Pan, Cynthia Aparecida de Castro, et al.. (2025). CDK4/6 inhibition mitigates chemotherapy-induced expansion of TP53-mutant clonal hematopoiesis. Blood. 146(Supplement 1). 4–4.
2.
Moukarzel, Lea A., Jie Liu, Duc Tran, et al.. (2025). Investigation of clonal hematopoiesis frequency following PARP inhibitor treatment and its association with prior platinum therapy exposure.. Journal of Clinical Oncology. 43(16_suppl).
3.
Hubbard, Aubrey K., Pedro F. Saint‐Maurice, Yin Cao, et al.. (2024). Social, Behavioral, and Clinical Risk Factors Are Associated with Clonal Hematopoiesis. Cancer Epidemiology Biomarkers & Prevention. 33(11). 1423–1432. 1 indexed citations
4.
Kinny‐Köster, Benedict, Duc Tran, Jörg Kaiser, et al.. (2024). Who Do We Fail to Rescue After Pancreatoduodenectomy? Outcomes Among >4000 Procedures Expose Windows of Opportunity. Annals of Surgery. 283(2). 277–285. 1 indexed citations
5.
Tran, Duc, J. Scott Beeler, Jie Liu, et al.. (2024). Plasma Proteomic Signature Predicts Myeloid Neoplasm Risk. Clinical Cancer Research. 30(15). 3220–3228. 3 indexed citations
6.
Nguyen, Hung, Ha Nam Nguyen, Duc Tran, Sorin Drăghici, & Tin Nguyen. (2024). Fourteen years of cellular deconvolution: methodology, applications, technical evaluation and outstanding challenges. Nucleic Acids Research. 52(9). 4761–4783. 19 indexed citations
7.
Özadam, Hakan, Crystal Han, Shilpa Rao, et al.. (2023). Single-cell quantification of ribosome occupancy in early mouse development. Nature. 618(7967). 1057–1064. 44 indexed citations
8.
Craig, Douglas B., et al.. (2023). A novel approach for predicting upstream regulators (PURE) that affect gene expression. Scientific Reports. 13(1). 18571–18571. 3 indexed citations
9.
Zhang, Yifan, Duc Tran, Tin Nguyen, Sergiu M. Dascalu, & J. S. Harris. (2023). A robust and accurate single-cell data trajectory inference method using ensemble pseudotime. BMC Bioinformatics. 24(1). 55–55. 8 indexed citations
10.
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
11.
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
12.
Cekanaviciute, Egle, Duc Tran, Hung Nguyen, et al.. (2022). Mouse genomic associations with in vitro sensitivity to simulated space radiation. Life Sciences in Space Research. 36. 47–58. 4 indexed citations
13.
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
14.
Tran, Duc, et al.. (2020). A Novel Method for Cancer Subtyping and Risk Prediction Using Consensus Factor Analysis. Frontiers in Oncology. 10. 1052–1052. 13 indexed citations
15.
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
16.
Nguyen, Hung, et al.. (2020). Disease subtyping using community detection from consensus networks. 3 indexed citations
17.
Nguyen, Hung, Sangam Shrestha, Duc Tran, et al.. (2019). A Comprehensive Survey of Tools and Software for Active Subnetwork Identification. Frontiers in Genetics. 10. 155–155. 33 indexed citations
18.
Le, Van Minh, Duc Tran, Thanh‐Sang Vo, et al.. (2017). Enhanced anticancer efficacy and tumor targeting through folate-PEG modified nanoliposome loaded with 5-fluorouracil. Advances in Natural Sciences Nanoscience and Nanotechnology. 8(1). 15008–15008. 13 indexed citations
19.
Smith, David Roy, Robert W. Lee, John C. Cushman, et al.. (2010). The Dunaliella salina organelle genomes: large sequences, inflated with intronic and intergenic DNA. BMC Plant Biology. 10(1). 83–83. 76 indexed citations
20.

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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