Maode Lai

4.7k total citations
77 papers, 3.2k citations indexed

About

Maode Lai is a scholar working on Oncology, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, Maode Lai has authored 77 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Oncology, 21 papers in Pathology and Forensic Medicine and 18 papers in Molecular Biology. Recurrent topics in Maode Lai's work include Genetic factors in colorectal cancer (18 papers), AI in cancer detection (16 papers) and Colorectal Cancer Screening and Detection (11 papers). Maode Lai is often cited by papers focused on Genetic factors in colorectal cancer (18 papers), AI in cancer detection (16 papers) and Colorectal Cancer Screening and Detection (11 papers). Maode Lai collaborates with scholars based in China, United States and United Kingdom. Maode Lai's co-authors include Yan Xu, Eric Chang, Fengying Li, Enping Xu, Qiong Huang, Yuqing Ai, Zhipeng Jia, Bingjian Lü, Yubo Fan and Fangying Xu and has published in prestigious journals such as Analytical Chemistry, Oncogene and Scientific Reports.

In The Last Decade

Maode Lai

77 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maode Lai China 28 904 882 873 642 620 77 3.2k
Timo Gaiser Germany 28 837 0.9× 1.4k 1.6× 1.1k 1.3× 868 1.4× 289 0.5× 134 3.7k
Mikael Lundin Finland 32 869 1.0× 1.4k 1.6× 1.3k 1.5× 869 1.4× 320 0.5× 76 4.4k
Clare Verrill United Kingdom 27 817 0.9× 722 0.8× 761 0.9× 728 1.1× 154 0.2× 102 2.7k
Douglas J. Hartman United States 32 646 0.7× 909 1.0× 849 1.0× 450 0.7× 181 0.3× 117 3.4k
Arnout Ruifrok Netherlands 21 623 0.7× 437 0.5× 791 0.9× 582 0.9× 502 0.8× 48 3.2k
Shu Wang China 26 345 0.4× 473 0.5× 519 0.6× 405 0.6× 226 0.4× 182 2.3k
Cleo‐Aron Weis Germany 22 844 0.9× 703 0.8× 375 0.4× 713 1.1× 315 0.5× 71 2.3k
Nina Linder Finland 24 743 0.8× 450 0.5× 490 0.6× 633 1.0× 300 0.5× 57 2.1k
Shumpei Ishikawa Japan 37 447 0.5× 1.1k 1.3× 2.1k 2.4× 423 0.7× 204 0.3× 126 4.5k
Jun Xia China 25 1.2k 1.3× 355 0.4× 523 0.6× 2.0k 3.1× 378 0.6× 124 4.0k

Countries citing papers authored by Maode Lai

Since Specialization
Citations

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

Fields of papers citing papers by Maode Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maode Lai

This figure shows the co-authorship network connecting the top 25 collaborators of Maode Lai. A scholar is included among the top collaborators of Maode Lai 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 Maode Lai. Maode Lai 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.
Zhang, Mengdi, Yuanyuan Lei, Tao Yang, et al.. (2025). Dual inhibition of hepatic ACLY and ACSS2: A synergistic approach to combat NAFLD through lipogenesis reduction and mitochondrial enhancement. Pharmacological Research. 215. 107706–107706. 1 indexed citations
3.
Bryce, Shayden, et al.. (2024). The Prevalence of Attention Deficit Hyperactivity Disorder in Psychotic Disorders: Systematic Review and Meta-analysis. Schizophrenia Bulletin. 51(6). 1514–1528. 3 indexed citations
4.
Wu, Qiong, Jiankang Li, Jinghan Zhu, et al.. (2022). Gamma-glutamyl-leucine levels are causally associated with elevated cardio-metabolic risks. Frontiers in Nutrition. 9. 936220–936220. 20 indexed citations
5.
Zhang, Xin, Yan Wen, Eric Chang, et al.. (2020). Deep learning in digital pathology image analysis: a survey. Frontiers of Medicine. 14(4). 470–487. 100 indexed citations
6.
Zhang, Dandan, Min Yang, Dan Zhou, et al.. (2018). The polymorphism rs671 at ALDH2 associated with serum uric acid levels in Chinese Han males: A genome-wide association study. Gene. 651. 62–69. 7 indexed citations
7.
Xu, Yan, Zhipeng Jia, Liang-Bo Wang, et al.. (2017). Large scale tissue histopathology image classification, segmentation, and visualization via deep convolutional activation features. BMC Bioinformatics. 18(1). 281–281. 289 indexed citations
8.
Chen, Wuzhen, Wubin Wang, Xuesong Wu, et al.. (2016). Lipocalin2 suppresses metastasis of colorectal cancer by attenuating NF-κB-dependent activation of snail and epithelial mesenchymal transition. Molecular Cancer. 15(1). 77–77. 72 indexed citations
9.
Ruan, Wenjing, Zhengzhong Kang, Tianyang Sun, et al.. (2016). Interaction between IGFBP7 and insulin: a theoretical and experimental study. Scientific Reports. 6(1). 19586–19586. 13 indexed citations
10.
Liu, Yi, Minliang Wu, Jie Ling, et al.. (2015). Serum IGFBP7 levels associate with insulin resistance and the risk of metabolic syndrome in a Chinese population. Scientific Reports. 5(1). 10227–10227. 43 indexed citations
11.
Wang, Jingyu, Wenfeng Li, Yuqi Wang, et al.. (2015). The H6D genetic variation of GDF15 is associated with genesis, progress and prognosis in colorectal cancer. Pathology - Research and Practice. 211(11). 845–850. 9 indexed citations
12.
Yang, Min, Dandan Zhang, Li Liang, et al.. (2014). Waist-to-Height Ratio: A simple, effective and practical screening tool for childhood obesity and metabolic syndrome. Preventive Medicine. 67. 35–40. 58 indexed citations
13.
Zhu, Shuzhen, Fangying Xu, Jing Zhang, Wenjing Ruan, & Maode Lai. (2014). Insulin-like growth factor binding protein-related protein 1 and cancer. Clinica Chimica Acta. 431. 23–32. 20 indexed citations
14.
Xu, Yan, et al.. (2013). Multi‐label classification for colon cancer using histopathological images. Microscopy Research and Technique. 76(12). 1266–1277. 28 indexed citations
15.
Ruan, Wenjing, Shuzhen Zhu, Haibing Wang, et al.. (2010). IGFBP-rP1, a potential molecule associated with colon cancer differentiation. Molecular Cancer. 9(1). 281–281. 15 indexed citations
16.
Li, Fengying, Xiaobin Ren, Enping Xu, et al.. (2010). RegIV expression showing specificity to gastrointestinal tract and its potential role in diagnosing digestive tract neuroendocrine tumor. Journal of Zhejiang University SCIENCE B. 11(4). 258–266. 13 indexed citations
17.
Ma, Yu, Bingjian Lü, Wenjing Ruan, et al.. (2008). Tumor suppressor gene insulin-like growth factor binding protein-related protein 1 (IGFBP-rP1) induces senescence-like growth arrest in colorectal cancer cells. Experimental and Molecular Pathology. 85(2). 141–145. 26 indexed citations
18.
Ye, Fei, Yuan Chen, Thomas Knösel, et al.. (2006). Decreased expression of insulin-like growth factor binding protein 7 in human colorectal carcinoma is related to DNA methylation. Journal of Cancer Research and Clinical Oncology. 133(5). 305–314. 16 indexed citations
19.
Xing, Xiaoming, Maode Lai, Wolfgang Gärtner, et al.. (2006). Identification of differentially expressed proteins in colorectal cancer by proteomics: Down‐regulation of secretagogin. PROTEOMICS. 6(9). 2916–2923. 43 indexed citations
20.
Zhang, Yu-Wei, Maode Lai, Bingjian Lv, et al.. (2003). Overexpression of Reg IV in colorectal adenoma. Cancer Letters. 200(1). 69–76. 50 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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