Luyi Tian

3.8k total citations · 2 hit papers
17 papers, 912 citations indexed

About

Luyi Tian is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Luyi Tian has authored 17 papers receiving a total of 912 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Cancer Research and 4 papers in Immunology. Recurrent topics in Luyi Tian's work include Single-cell and spatial transcriptomics (10 papers), Cancer Genomics and Diagnostics (3 papers) and Cell Image Analysis Techniques (3 papers). Luyi Tian is often cited by papers focused on Single-cell and spatial transcriptomics (10 papers), Cancer Genomics and Diagnostics (3 papers) and Cell Image Analysis Techniques (3 papers). Luyi Tian collaborates with scholars based in Australia, China and United States. Luyi Tian's co-authors include Fei Chen, Evan Z. Macosko, Matthew E. Ritchie, Xueyi Dong, Shian Su, Daniela Amann‐Zalcenstein, Jafar S. Jabbari, Shalin H. Naik, Saskia Freytag and Tom Weber and has published in prestigious journals such as Nature, Nature Genetics and Nature Biotechnology.

In The Last Decade

Luyi Tian

17 papers receiving 904 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.

The expanding vistas of spatial transcriptomics

2022 218 citations Luyi Tian, Fei Chen et al. Nature Biotechnology profile →
Systematic comparison of sequencing-based spatial transcriptomic methods

2024 63 citations Yue You, Zhongmin Zhang et al. Nature Methods profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Luyi Tian Australia	14	715	189	169	116	66	17	912
Elena Denisenko Australia	9	540 0.8×	163 0.9×	166 1.0×	77 0.7×	86 1.3×	13	670
Archibald Enninful United States	6	863 1.2×	196 1.0×	160 0.9×	139 1.2×	97 1.5×	8	1.0k
Michaela Asp Sweden	6	1.0k 1.4×	205 1.1×	225 1.3×	164 1.4×	83 1.3×	8	1.2k
Rasa Elmentaite United Kingdom	6	601 0.8×	127 0.7×	233 1.4×	96 0.8×	108 1.6×	7	790
Graham Su United States	8	1.1k 1.5×	249 1.3×	215 1.3×	162 1.4×	117 1.8×	11	1.3k
Elizabeth Tuck United Kingdom	8	682 1.0×	107 0.6×	215 1.3×	87 0.8×	95 1.4×	10	908
Carolina Guibentif Sweden	13	916 1.3×	119 0.6×	134 0.8×	126 1.1×	50 0.8×	18	1.0k
José Alquicira-Hernández Australia	8	810 1.1×	249 1.3×	235 1.4×	105 0.9×	98 1.5×	12	1.1k
Katy Vandereyken Belgium	3	457 0.6×	112 0.6×	81 0.5×	82 0.7×	66 1.0×	3	660

Countries citing papers authored by Luyi Tian

Since Specialization

Citations

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

Fields of papers citing papers by Luyi Tian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luyi Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Luyi Tian. A scholar is included among the top collaborators of Luyi Tian 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 Luyi Tian. Luyi Tian 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:

17 of 17 papers shown

Peng, Hongke, Jafar S. Jabbari, Luyi Tian, et al.. (2025). Single-cell Rapid Capture Hybridization sequencing reliably detects isoform usage and coding mutations in targeted genes. Genome Research. 35(4). 942–955. 1 indexed citations

You, Yue, Zhongmin Zhang, Shihong Lu, et al.. (2024). Systematic comparison of sequencing-based spatial transcriptomic methods. Nature Methods. 21(9). 1743–1754. 63 indexed citations breakdown →

Chen, Siqi, Ruiqing Zheng, Luyi Tian, Fang‐Xiang Wu, & Min Li. (2023). A posterior probability based Bayesian method for single-cell RNA-seq data imputation. Methods. 216. 21–38. 2 indexed citations

Dong, Xueyi, Mei R. M. Du, Quentin Gouil, et al.. (2023). Benchmarking long-read RNA-sequencing analysis tools using in silico mixtures. Nature Methods. 20(11). 1810–1821. 38 indexed citations

Kumar, Abhishek Sampath, Luyi Tian, Adriano Bolondi, et al.. (2023). Spatiotemporal transcriptomic maps of whole mouse embryos at the onset of organogenesis. Nature Genetics. 55(7). 1176–1185. 31 indexed citations

Russell, Andrew J. C., Naeem Nadaf, Vipin Kumar, et al.. (2023). Slide-tags enables single-nucleus barcoding for multimodal spatial genomics. Nature. 625(7993). 101–109. 95 indexed citations

Tian, Luyi, Fei Chen, & Evan Z. Macosko. (2022). The expanding vistas of spatial transcriptomics. Nature Biotechnology. 41(6). 773–782. 218 indexed citations breakdown →

Dong, Xueyi, Luyi Tian, Quentin Gouil, et al.. (2021). The long and the short of it: unlocking nanopore long-read RNA sequencing data with short-read differential expression analysis tools. NAR Genomics and Bioinformatics. 3(2). lqab028–lqab028. 25 indexed citations

You, Yue, Xiaoming Cui, Huixia Gao, et al.. (2021). Single-cell immune profiling reveals distinct immune response in asymptomatic COVID-19 patients. Signal Transduction and Targeted Therapy. 6(1). 342–342. 30 indexed citations

10.

You, Yue, Luyi Tian, Shian Su, et al.. (2021). Benchmarking UMI-based single-cell RNA-seq preprocessing workflows. Genome biology. 22(1). 339–339. 38 indexed citations

11.

Mazzone, Stuart B., Seung‐Kwon Yang, Jennifer A. Keller, et al.. (2021). Modulation of Vagal Sensory Neurons via High Mobility Group Box-1 and Receptor for Advanced Glycation End Products: Implications for Respiratory Viral Infections. Frontiers in Physiology. 12. 744812–744812. 6 indexed citations

12.

Lin, Dawn, Luyi Tian, Daniela Amann‐Zalcenstein, et al.. (2021). Single-cell analyses reveal the clonal and molecular aetiology of Flt3L-induced emergency dendritic cell development. Nature Cell Biology. 23(3). 219–231. 22 indexed citations

13.

Mazzone, Stuart B., et al.. (2019). Transcriptional Profiling of Individual Airway Projecting Vagal Sensory Neurons. Molecular Neurobiology. 57(2). 949–963. 46 indexed citations

14.

Tian, Luyi, Xueyi Dong, Saskia Freytag, et al.. (2019). Benchmarking single cell RNA-sequencing analysis pipelines using mixture control experiments. Nature Methods. 16(6). 479–487. 199 indexed citations

15.

Su, Shian, Luyi Tian, Xueyi Dong, et al.. (2019). CellBench: R/Bioconductor software for comparing single-cell RNA-seq analysis methods. Bioinformatics. 36(7). 2288–2290. 19 indexed citations

16.

Tian, Luyi, Shian Su, Xueyi Dong, et al.. (2018). scPipe: A flexible R/Bioconductor preprocessing pipeline for single-cell RNA-sequencing data. PLoS Computational Biology. 14(8). e1006361–e1006361. 64 indexed citations

17.

Hou, Weikun, Liesu Meng, Luyi Tian, et al.. (2010). A systematic comparison between collagen-induced arthritis and pristane-induced arthritis in Dark Agouti rats.. PubMed. 28(4). 532–8. 15 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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