Wei Lan

5.2k total citations · 2 hit papers
179 papers, 3.8k citations indexed

About

Wei Lan is a scholar working on Molecular Biology, Cancer Research and Computational Theory and Mathematics. According to data from OpenAlex, Wei Lan has authored 179 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Molecular Biology, 38 papers in Cancer Research and 15 papers in Computational Theory and Mathematics. Recurrent topics in Wei Lan's work include Cancer-related molecular mechanisms research (34 papers), MicroRNA in disease regulation (26 papers) and Circular RNAs in diseases (21 papers). Wei Lan is often cited by papers focused on Cancer-related molecular mechanisms research (34 papers), MicroRNA in disease regulation (26 papers) and Circular RNAs in diseases (21 papers). Wei Lan collaborates with scholars based in China, United States and Australia. Wei Lan's co-authors include Jianxin Wang, Yi Pan, Jin Liu, Fang‐Xiang Wu, Min Li, Qingfeng Chen, Wei Peng, Yi‐Ping Phoebe Chen, Ming Keong Wong and Yoke Min Sin and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Wei Lan

164 papers receiving 3.7k citations

Hit Papers

DeepKEGG: a multi-omics d... 2024 2026 2024 2025 10 20 30 40
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.

  1. DeepKEGG: a multi-omics data integration framework with biological insights for cancer recurrence prediction and biomarker discovery
    2024 46 citations Wei Lan, Qingfeng Chen et al. Briefings in Bioinformatics profile →
  2. The Large Language Models on Biomedical Data Analysis: A Survey
    2025 17 citations Wei Lan, Qingfeng Chen et al. IEEE Journal of Biomedical and Health Informatics profile →

Author Peers

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

Author Last Decade Papers Cites
Wei Lan 1.7k 1.0k 326 297 289 179 3.8k
David M. Reif 2.0k 1.2× 612 0.6× 1.3k 4.0× 681 2.3× 491 1.7× 146 6.9k
Jie Liu 2.5k 1.5× 1.5k 1.5× 396 1.2× 96 0.3× 284 1.0× 205 5.0k
Wen Zhang 973 0.6× 225 0.2× 95 0.3× 380 1.3× 167 0.6× 138 4.4k
Maurice Whelan 885 0.5× 309 0.3× 671 2.1× 286 1.0× 749 2.6× 143 4.2k
Julia Hoeng 2.1k 1.2× 852 0.8× 366 1.1× 85 0.3× 695 2.4× 246 5.7k
Jon R. Sobus 773 0.5× 348 0.3× 187 0.6× 433 1.5× 589 2.0× 100 3.6k
Xiaohui Lin 1.4k 0.8× 215 0.2× 98 0.3× 46 0.2× 241 0.8× 116 2.5k
Qingfeng Chen 1.4k 0.8× 519 0.5× 141 0.4× 151 0.5× 242 0.8× 148 3.4k
Ralph L. Kodell 1.7k 1.0× 884 0.9× 116 0.4× 92 0.3× 53 0.2× 171 4.5k
Xiuxiu Li 1.1k 0.7× 190 0.2× 314 1.0× 101 0.3× 453 1.6× 177 3.9k

Countries citing papers authored by Wei Lan

Since Specialization
Citations

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

Fields of papers citing papers by Wei Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Lan

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Lan. A scholar is included among the top collaborators of Wei Lan 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 Wei Lan. Wei Lan 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.
Ren, Jiongyu, Qiang Wen, Xiaoguang Ge, et al.. (2025). Tumor microenvironment-responsive metal-natural polyphenol nanozyme for radiosensitization by interfering glucose metabolism and redox homeostasis. Journal of Controlled Release. 388(Pt 2). 114219–114219.
2.
Lan, Wei, et al.. (2025). The Large Language Models on Biomedical Data Analysis: A Survey. IEEE Journal of Biomedical and Health Informatics. 29(6). 4486–4497. 17 indexed citations breakdown →
3.
Chen, Qingfeng, et al.. (2024). Similarity-guided graph contrastive learning for lncRNA-disease association prediction. Journal of Molecular Biology. 437(6). 168609–168609. 3 indexed citations
4.
Wang, Xiuqin, et al.. (2024). Density-dependent fitness and mass-rearing of Habrobracon hebetor (Say) (Hymenoptera: Braconidae) incorporating life table variability. Journal of Stored Products Research. 109. 102431–102431. 1 indexed citations
5.
6.
7.
Lan, Wei, et al.. (2024). DeepKEGG: a multi-omics data integration framework with biological insights for cancer recurrence prediction and biomarker discovery. Briefings in Bioinformatics. 25(3). 46 indexed citations breakdown →
8.
9.
Lan, Wei, et al.. (2024). Contrastive Clustering Learning for Multi-Behavior Recommendation. ACM Transactions on Information Systems. 43(1). 1–23. 14 indexed citations
10.
Wang, Xiuqin, et al.. (2023). Asymmetric sex body size and reproductive fitness relation and offspring population parameters of Habrobracon hebetor (Say) (Hymenoptera: Braconidae). Journal of Stored Products Research. 102. 102123–102123. 6 indexed citations
11.
Peng, Wei, Tielin Chen, Hancheng Liu, et al.. (2023). Improving drug response prediction based on two-space graph convolution. Computers in Biology and Medicine. 158. 106859–106859. 20 indexed citations
12.
Peng, Wei, et al.. (2023). MHCLMDA: multihypergraph contrastive learning for miRNA–disease association prediction. Briefings in Bioinformatics. 25(1). 30 indexed citations
13.
Lan, Wei, Ling Hou, Yanqin Ying, & Xiao-Ping Luo. (2022). A Novel Missense Mutation in TWNK Gene Causing Perrault Syndrome Type 5 in a Chinese Family and Review of the Literature. SHILAP Revista de lepidopterología. 6 indexed citations
14.
Peng, Wei, et al.. (2022). Predicting miRNA-Disease Associations From miRNA-Gene-Disease Heterogeneous Network With Multi-Relational Graph Convolutional Network Model. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 20(6). 3363–3375. 32 indexed citations
15.
Jeyakumar, Paramsothy, Nabeel Khan Niazi, Lukas Van Zwieten, et al.. (2022). Biochar and soil properties limit the phytoavailability of lead and cadmium by Brassica chinensis L. in contaminated soils. Biochar. 4(1). 31 indexed citations
16.
Lan, Wei, Mingrui Zhu, Qingfeng Chen, et al.. (2021). Prediction of circRNA‐miRNA Associations Based on Network Embedding. Complexity. 2021(1). 19 indexed citations
17.
Wang, Xiuqin, et al.. (2021). Artificial diet significantly enhance fitness and be applicable in mass-rearing of Ephestia elutella (Hübner) (Lepidoptera: Pyralidae). Crop Protection. 147. 105684–105684. 16 indexed citations
18.
Lan, Wei, Yi Dong, Qingfeng Chen, et al.. (2021). IGNSCDA: Predicting CircRNA-Disease Associations Based on Improved Graph Convolutional Network and Negative Sampling. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 19(6). 3530–3538. 46 indexed citations
19.
Peng, Wei, Wei Lan, Jiancheng Zhong, Jianxin Wang, & Yi Pan. (2017). A novel method of predicting microRNA-disease associations based on microRNA, disease, gene and environment factor networks. Methods. 124. 69–77. 25 indexed citations
20.
Deng, Lei, Shengchang Su, Minlu Zhang, et al.. (2010). Investigating the predictability of essential genes across distantly related organisms using an integrative approach. Nucleic Acids Research. 39(3). 795–807. 109 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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