Minh Tran

685 total citations · 1 hit paper
10 papers, 286 citations indexed

About

Minh Tran is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Oncology. According to data from OpenAlex, Minh Tran has authored 10 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Oncology. Recurrent topics in Minh Tran's work include Single-cell and spatial transcriptomics (5 papers), Cancer Genomics and Diagnostics (2 papers) and Gene expression and cancer classification (2 papers). Minh Tran is often cited by papers focused on Single-cell and spatial transcriptomics (5 papers), Cancer Genomics and Diagnostics (2 papers) and Gene expression and cancer classification (2 papers). Minh Tran collaborates with scholars based in Australia, United States and France. Minh Tran's co-authors include Quan Nguyen, Xiao Tan, Duy Pham, Emily F. Willis, Laura F. Grice, Priyakshi Kalita‐de Croft, Arti M. Raghubar, Brad Balderson, Jana Vukovic and Jun Xu and has published in prestigious journals such as Nature Communications, Bioinformatics and Human Molecular Genetics.

In The Last Decade

Minh Tran

10 papers receiving 282 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Robust mapping of spatiotemporal trajectories and cell–cell interactions in healthy and diseased tissues

2023 177 citations Duy Pham, Xiao Tan et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Minh Tran Australia	6	222	61	44	40	30	10	286
Daiwei Zhang United States	6	129 0.6×	38 0.6×	29 0.7×	30 0.8×	24 0.8×	8	212
M. Javad Khajavi Norway	3	211 1.0×	41 0.7×	53 1.2×	67 1.7×	11 0.4×	5	253
Matthew Amodio United States	5	199 0.9×	58 1.0×	40 0.9×	67 1.7×	30 1.0×	12	268
Cody N. Heiser United States	7	143 0.6×	39 0.6×	45 1.0×	68 1.7×	60 2.0×	13	241
Mohsen Naghipourfar United States	3	360 1.6×	62 1.0×	65 1.5×	125 3.1×	12 0.4×	4	412
Nikolaos Sousos United Kingdom	7	192 0.9×	82 1.3×	27 0.6×	20 0.5×	37 1.2×	15	362
Ashley Kiemen United States	9	98 0.4×	39 0.6×	30 0.7×	51 1.3×	87 2.9×	23	270
Hang Xu China	9	460 2.1×	108 1.8×	56 1.3×	45 1.1×	20 0.7×	19	629
Chi‐Yuan Yao Taiwan	9	119 0.5×	69 1.1×	42 1.0×	7 0.2×	27 0.9×	38	253
Madison Tyler United States	4	107 0.5×	38 0.6×	40 0.9×	27 0.7×	60 2.0×	4	176

Countries citing papers authored by Minh Tran

Since Specialization

Citations

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

Fields of papers citing papers by Minh Tran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minh Tran

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Lee, HoJoon, Minh Tran, Anuja Sathe, et al.. (2025). The single-cell spatial landscape of stage III colorectal cancers. npj Precision Oncology. 9(1). 101–101. 3 indexed citations

2.

Pham, Duy, Xiao Tan, Brad Balderson, et al.. (2023). Robust mapping of spatiotemporal trajectories and cell–cell interactions in healthy and diseased tissues. Nature Communications. 14(1). 7739–7739. 177 indexed citations breakdown →

3.

Tran, Minh, Gorjana Robevska, Katie Ayers, et al.. (2022). Functional genomics analysis identifies loss ofHNF1Bfunction as a cause of Mayer–Rokitansky–Küster–Hauser syndrome. Human Molecular Genetics. 32(6). 1032–1047. 12 indexed citations

4.

Naval-Sánchez, Marina, Minh Tran, Jingyu Zhang, et al.. (2022). Benchmarking of ATAC Sequencing Data From BGI’s Low-Cost DNBSEQ-G400 Instrument for Identification of Open and Occupied Chromatin Regions. Frontiers in Molecular Biosciences. 9. 900323–900323. 4 indexed citations

5.

Tran, Minh, Sohye Yoon, Stacey B. Andersen, et al.. (2022). A robust experimental and computational analysis framework at multiple resolutions, modalities and coverages. Frontiers in Immunology. 13. 911873–911873. 9 indexed citations

6.

Tran, Minh, Viet-Khoa Vo-Ho, & Ngan Le. (2022). 3DConvCaps: 3DUnet with Convolutional Capsule Encoder for Medical Image Segmentation. 2022 26th International Conference on Pattern Recognition (ICPR). 4392–4398. 7 indexed citations

7.

Tan, Xiao, et al.. (2020). Applying Machine Learning for Integration of Multi-Modal Genomics Data and Imaging Data to Quantify Heterogeneity in Tumour Tissues. Methods in molecular biology. 2190. 209–228. 12 indexed citations

8.

Tran, Minh, HoJoon Lee, Lance Pflieger, et al.. (2020). 665 Spatial single-cell analysis of colorectal cancer tumour using multiplexed imaging mass cytometry. Regular and Young Investigator Award Abstracts. A399.1–A399. 2 indexed citations

9.

Tan, Xiao, et al.. (2019). SpaCell: integrating tissue morphology and spatial gene expression to predict disease cells. Bioinformatics. 36(7). 2293–2294. 56 indexed citations

10.

Tran, Minh, et al.. (2018). Centroid Neural Network with Pairwise Constraints for Semi-supervised Learning. Neural Processing Letters. 48(3). 1721–1747. 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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