Minh Tran

30 total papers · 665 total citations
10 papers, 272 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 272 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 Saudi Arabia. Minh Tran's co-authors include Quan Nguyen, Xiao Tan, Pui Yeng Lam, Arti M. Raghubar, Sohye Yoon, Laura F. Grice, Jun Xu, Priyakshi Kalita‐de Croft, Brad Balderson and Sunil R. Lakhani and has published in prestigious journals such as Nature Communications, Bioinformatics and Human Molecular Genetics.

In The Last Decade

Minh Tran

10 papers receiving 268 citations

Hit Papers

Robust mapping of spatiot... 2023 2026 2024 2023 50 100 150

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Minh Tran 208 60 41 38 29 10 272
Alejandro La Greca 191 0.9× 65 1.1× 32 0.8× 52 1.4× 37 1.3× 13 301
Daiwei Zhang 115 0.6× 37 0.6× 29 0.7× 29 0.8× 24 0.8× 8 192
Matthew Amodio 196 0.9× 58 1.0× 40 1.0× 67 1.8× 30 1.0× 12 264
Cody N. Heiser 139 0.7× 39 0.7× 42 1.0× 68 1.8× 58 2.0× 13 231
Joshua A. Bull 84 0.4× 21 0.3× 32 0.8× 26 0.7× 43 1.5× 12 195
Siyuan Chen 146 0.7× 43 0.7× 32 0.8× 25 0.7× 11 0.4× 11 221
Sunil R. Lakhani 188 0.9× 84 1.4× 38 0.9× 24 0.6× 62 2.1× 14 293
Justina Žurauskienė 222 1.1× 65 1.1× 31 0.8× 26 0.7× 8 0.3× 9 263
Cristiano Guttà 194 0.9× 40 0.7× 52 1.3× 8 0.2× 33 1.1× 10 286
Curtis W. McCloskey 82 0.4× 38 0.6× 113 2.8× 22 0.6× 119 4.1× 10 267

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

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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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