Lin Wan

2.4k total citations
71 papers, 1.4k citations indexed

About

Lin Wan is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Lin Wan has authored 71 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 13 papers in Cancer Research and 9 papers in Genetics. Recurrent topics in Lin Wan's work include Single-cell and spatial transcriptomics (19 papers), Gene expression and cancer classification (11 papers) and Genomics and Phylogenetic Studies (10 papers). Lin Wan is often cited by papers focused on Single-cell and spatial transcriptomics (19 papers), Gene expression and cancer classification (11 papers) and Genomics and Phylogenetic Studies (10 papers). Lin Wan collaborates with scholars based in China, United States and United Kingdom. Lin Wan's co-authors include Kai Cao, Yiguang Hong, Shouping Xu, Da Pang, Xiangqi Bai, Gesine Reinert, Michael S. Waterman, Fengzhu Sun, Peiyuan Wang and Hao Wu and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Lin Wan

69 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lin Wan China 20 1.0k 467 93 90 88 71 1.4k
Elaine C. Campbell United Kingdom 18 726 0.7× 330 0.7× 62 0.7× 108 1.2× 80 0.9× 26 1.3k
Xiaoyan Qian China 21 1.1k 1.1× 284 0.6× 49 0.5× 141 1.6× 31 0.4× 63 1.9k
Rongqin Ke China 16 946 0.9× 238 0.5× 62 0.7× 131 1.5× 13 0.1× 42 1.2k
Bijan K. Dey United States 17 2.0k 2.0× 1.4k 3.1× 126 1.4× 34 0.4× 39 0.4× 29 2.4k
Shenglan Li China 21 805 0.8× 223 0.5× 116 1.2× 15 0.2× 65 0.7× 58 1.5k
Felice-Alessio Bava United States 11 1.5k 1.5× 241 0.5× 63 0.7× 270 3.0× 26 0.3× 13 1.8k
Qian Yi Lee United States 13 1.5k 1.5× 238 0.5× 125 1.3× 45 0.5× 26 0.3× 21 1.9k
Yuhan Wang China 21 621 0.6× 151 0.3× 82 0.9× 24 0.3× 33 0.4× 98 1.1k
Valeria de Turris Italy 19 1.5k 1.5× 87 0.2× 137 1.5× 187 2.1× 39 0.4× 42 1.9k

Countries citing papers authored by Lin Wan

Since Specialization
Citations

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

Fields of papers citing papers by Lin Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lin Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Lin Wan. A scholar is included among the top collaborators of Lin Wan 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 Lin Wan. Lin Wan 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.
Jiang, Qi & Lin Wan. (2025). Dynamic modeling, optimization, and deep learning for high-dimensional complex biological data. Scientia Sinica Mathematica. 55(7). 1413–1413. 1 indexed citations
2.
Wan, Lin, et al.. (2024). A physics-informed neural SDE network for learning cellular dynamics from time-series scRNA-seq data. Bioinformatics. 40(Supplement_2). ii120–ii127. 9 indexed citations
3.
4.
Wang, Lu, Yu‐Sheng Lin, Zhimeng Yao, et al.. (2024). Targeting undruggable phosphatase overcomes trastuzumab resistance by inhibiting multi-oncogenic kinases. Drug Resistance Updates. 76. 101118–101118. 5 indexed citations
5.
Li, Menglu, et al.. (2024). Innovative biomarkers TCN2 and LY6E can significantly inhibit respiratory syncytial virus infection. Journal of Translational Medicine. 22(1). 854–854. 1 indexed citations
6.
Cao, Kai, et al.. (2024). Graspot: a graph attention network for spatial transcriptomics data integration with optimal transport. Bioinformatics. 40(Supplement_2). ii137–ii145. 2 indexed citations
7.
Chen, Ziwei, Bingwei Zhang, Fuzhou Gong, Lin Wan, & Liang Ma. (2023). RobustTree: An adaptive, robust PCA algorithm for embedded tree structure recovery from single-cell sequencing data. Frontiers in Genetics. 14. 1110899–1110899.
8.
Jiang, Qi, Shuo Zhang, & Lin Wan. (2022). Dynamic inference of cell developmental complex energy landscape from time series single-cell transcriptomic data. PLoS Computational Biology. 18(1). e1009821–e1009821. 19 indexed citations
9.
Cao, Kai, Yiguang Hong, & Lin Wan. (2021). Manifold alignment for heterogeneous single-cell multi-omics data integration using Pamona. Bioinformatics. 38(1). 211–219. 55 indexed citations
10.
Chen, Ziwei, Fuzhou Gong, Lin Wan, & Liang Ma. (2020). RobustClone: a robust PCA method for tumor clone and evolution inference from single-cell sequencing data. Bioinformatics. 36(11). 3299–3306. 20 indexed citations
11.
Cao, Kai, Xiangqi Bai, Yiguang Hong, & Lin Wan. (2020). Unsupervised topological alignment for single-cell multi-omics integration. Bioinformatics. 36(Supplement_1). i48–i56. 78 indexed citations
12.
Qiao, Kun, Shipeng Ning, Lin Wan, et al.. (2019). LINC00673 is activated by YY1 and promotes the proliferation of breast cancer cells via the miR-515-5p/MARK4/Hippo signaling pathway. Journal of Experimental & Clinical Cancer Research. 38(1). 418–418. 127 indexed citations
13.
Zhao, Yueshui, Qijie Zhao, Parham Jabbarzadeh Kaboli, et al.. (2019). m1A Regulated Genes Modulate PI3K/AKT/mTOR and ErbB Pathways in Gastrointestinal Cancer. Translational Oncology. 12(10). 1323–1333. 121 indexed citations
14.
15.
Xu, Shouping, Lin Wan, Wei Zheng, et al.. (2017). Long Noncoding RNA Linc00152 Functions as a Tumor Propellant in Pan-Cancer. Cellular Physiology and Biochemistry. 44(6). 2476–2490. 26 indexed citations
16.
Zhang, Sheng, Bo Wang, Lin Wan, & Lei M. Li. (2017). Estimating Phred scores of Illumina base calls by logistic regression and sparse modeling. BMC Bioinformatics. 18(1). 335–335. 7 indexed citations
17.
Wan, Lin. (2011). Cloning and Expression Analysis of High-Affinity Potassium Transporter Gene PaHAK1 from Phytolacca acinosa Roxb.. PLANT PHYSIOLOGY. 2 indexed citations
18.
Wan, Lin, Gesine Reinert, Fengzhu Sun, & Michael S. Waterman. (2010). Alignment-Free Sequence Comparison (II): Theoretical Power of Comparison Statistics. Journal of Computational Biology. 17(11). 1467–1490. 76 indexed citations
19.
Wan, Lin, Kelian Sun, Qi Ding, et al.. (2009). Hybridization modeling of oligonucleotide SNP arrays for accurate DNA copy number estimation. Nucleic Acids Research. 37(17). e117–e117. 10 indexed citations
20.
Wang, Quan, Lin Wan, Dayong Li, et al.. (2009). Searching for bidirectional promoters in Arabidopsis thaliana. BMC Bioinformatics. 10(S1). S29–S29. 72 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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