Wenkai Tan

1.1k total citations · 1 hit paper
23 papers, 757 citations indexed

About

Wenkai Tan is a scholar working on Cancer Research, Molecular Biology and Epidemiology. According to data from OpenAlex, Wenkai Tan has authored 23 papers receiving a total of 757 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cancer Research, 12 papers in Molecular Biology and 4 papers in Epidemiology. Recurrent topics in Wenkai Tan's work include MicroRNA in disease regulation (8 papers), Cancer-related molecular mechanisms research (8 papers) and RNA modifications and cancer (5 papers). Wenkai Tan is often cited by papers focused on MicroRNA in disease regulation (8 papers), Cancer-related molecular mechanisms research (8 papers) and RNA modifications and cancer (5 papers). Wenkai Tan collaborates with scholars based in China, United States and Germany. Wenkai Tan's co-authors include Shicai Ye, Xiao Feng, Yu Zhou, Weiyun Wu, Hao Wang, Jiayuan Wu, Guoli Wei, Dongdong Niu, Suru Yue and Xueying Huang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Molecular Cancer.

In The Last Decade

Wenkai Tan

22 papers receiving 746 citations

Hit Papers

Machine learning for the prediction of acute kidney injur... 2022 2026 2023 2024 2022 40 80 120
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. Machine learning for the prediction of acute kidney injury in patients with sepsis
    2022 149 citations Suru Yue, Shasha Li et al. Journal of Translational Medicine profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wenkai Tan China 11 370 328 121 110 99 23 757
Mingzhe Li China 11 236 0.6× 171 0.5× 182 1.5× 83 0.8× 73 0.7× 19 677
Zhengyu Jiang China 17 318 0.9× 168 0.5× 93 0.8× 63 0.6× 90 0.9× 42 707
Shaobo Hu China 16 302 0.8× 153 0.5× 136 1.1× 74 0.7× 151 1.5× 53 888
De‐Guang Wang China 18 439 1.2× 329 1.0× 155 1.3× 97 0.9× 87 0.9× 58 1.2k
Lipei Liu China 16 358 1.0× 162 0.5× 120 1.0× 121 1.1× 77 0.8× 48 876
Renhong Huang China 17 299 0.8× 181 0.6× 100 0.8× 88 0.8× 149 1.5× 42 743
Attila Frigyesi Sweden 20 555 1.5× 255 0.8× 229 1.9× 324 2.9× 106 1.1× 61 1.3k
Jie Min China 22 375 1.0× 246 0.8× 233 1.9× 192 1.7× 51 0.5× 89 1.3k
Zijie Wang China 19 304 0.8× 134 0.4× 78 0.6× 201 1.8× 103 1.0× 72 911
Rui Guo China 15 187 0.5× 121 0.4× 43 0.4× 76 0.7× 124 1.3× 78 756

Countries citing papers authored by Wenkai Tan

Since Specialization
Citations

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

Fields of papers citing papers by Wenkai Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenkai Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Wenkai Tan. A scholar is included among the top collaborators of Wenkai Tan 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 Wenkai Tan. Wenkai Tan 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.
Wu, Weiyun, Cheng Pang, Xin Wen, et al.. (2025). IGF2BP2 regulates inflammation in ulcerative colitis through N6-methyladenosine-dependent modulation of CBR1. International Immunopharmacology. 161. 115072–115072. 2 indexed citations
2.
Wu, Weiyun, et al.. (2024). Long noncoding RNA LINC01550 inhibits colorectal cancer malignancy by suppressing the Wnt/β‐catenin signaling pathway. Journal of Biochemical and Molecular Toxicology. 38(8). e23774–e23774. 3 indexed citations
3.
Yang, Hui, et al.. (2024). METTL14 is Involved in TNF-α-Induced Inflammation in Colorectal Epithelial Cells via Autophagy Modulation. Applied Biochemistry and Biotechnology. 196(12). 8453–8470. 5 indexed citations
4.
Tan, Wenkai, Nicholas S. Reed, Daewon Kim, et al.. (2024). Explainable Artificial Intelligence for Antenna Sensor Modeling. 559–565.
5.
Li, Lusi, et al.. (2023). Incomplete multi-view clustering via structure exploration and missing-view inference. Information Fusion. 103. 102123–102123. 18 indexed citations
6.
Tan, Wenkai, Jian Wang, Yongxin Liu, et al.. (2023). Knowledge Distillation-Based GPS Spoofing Detection for Small UAV. Future Internet. 15(12). 389–389. 8 indexed citations
7.
Wang, Jian, et al.. (2023). GPS Spoofing on UAV: A Survey. 1–6. 5 indexed citations
8.
Tan, Wenkai, Alvaro Velasquez, Yongxin Liu, et al.. (2022). Exploring Adversarial Attacks on Neural Networks: An Explainable Approach. 4 indexed citations
9.
Yue, Suru, Shasha Li, Xueying Huang, et al.. (2022). Machine learning for the prediction of acute kidney injury in patients with sepsis. Journal of Translational Medicine. 20(1). 215–215. 149 indexed citations breakdown →
10.
Wu, Jiayuan, Lin Chen, Yufeng Wang, Wenkai Tan, & Zhe Huang. (2019). <p>Prognostic value of aspartate transaminase to alanine transaminase (De Ritis) ratio in solid tumors: a pooled analysis of 9,400 patients</p>. OncoTargets and Therapy. Volume 12. 5201–5213. 39 indexed citations
11.
Wu, Jiayuan, et al.. (2019). Serum apolipoprotein B-to-apolipoprotein A1 ratio is independently associated with disease severity in patients with acute pancreatitis. Scientific Reports. 9(1). 7764–7764. 20 indexed citations
12.
Wu, Weiyun, Shicai Ye, Wenkai Tan, Yu Zhou, & Juan‐Hua Quan. (2019). Analysis of promoter methylation and epigenetic regulation of miR‑32 in colorectal cancer cells. Experimental and Therapeutic Medicine. 17(4). 3209–3214. 3 indexed citations
13.
Wu, Weiyun, Wenkai Tan, Shicai Ye, Yu Zhou, & Juan‐Hua Quan. (2019). Analysis of the promoter region of the human miR‑32 gene in colorectal cancer. Oncology Letters. 17(4). 3743–3750. 10 indexed citations
14.
15.
Tian, Ting, Yu Zhou, Xiao Feng, et al.. (2016). MicroRNA-16 is putatively involved in the NF-κB pathway regulation in ulcerative colitis through adenosine A2a receptor (A2aAR) mRNA targeting. Scientific Reports. 6(1). 30824–30824. 59 indexed citations
16.
Feng, Xiao, Wenkai Tan, Hao Wang, et al.. (2015). Upregulation of microRNA-126 in Hepatic Stellate Cells May Affect Pathogenesis of Liver Fibrosis Through the NF-κB Pathway. DNA and Cell Biology. 34(7). 470–480. 33 indexed citations
17.
18.
Wu, Weiyun, Xiao Feng, Hao Wang, et al.. (2013). MicroRNA-32 (miR-32) regulates phosphatase and tensin homologue (PTEN) expression and promotes growth, migration, and invasion in colorectal carcinoma cells. Molecular Cancer. 12(1). 30–30. 142 indexed citations
19.
Feng, Xiao, Hao Wang, Shicai Ye, et al.. (2012). Up-Regulation of microRNA-126 May Contribute to Pathogenesis of Ulcerative Colitis via Regulating NF-kappaB Inhibitor IκBα. PLoS ONE. 7(12). e52782–e52782. 106 indexed citations
20.
Ye, Shicai, Hao Wang, Guoli Wei, et al.. (2012). MPP3 inactivation by promoter CpG islands hypermethylation in colorectal carcinogenesis. Cancer Biomarkers. 11(2-3). 99–106. 5 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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