Xiao-Liang Lan

2.8k total citations · 2 hit papers
16 papers, 1.9k citations indexed

About

Xiao-Liang Lan is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Xiao-Liang Lan has authored 16 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Oncology and 6 papers in Cancer Research. Recurrent topics in Xiao-Liang Lan's work include MicroRNA in disease regulation (4 papers), Cancer-related molecular mechanisms research (4 papers) and Colorectal Cancer Surgical Treatments (3 papers). Xiao-Liang Lan is often cited by papers focused on MicroRNA in disease regulation (4 papers), Cancer-related molecular mechanisms research (4 papers) and Colorectal Cancer Surgical Treatments (3 papers). Xiao-Liang Lan collaborates with scholars based in China and United States. Xiao-Liang Lan's co-authors include Liang Li, Yanqing Ding, Fuyao Song, Wenting Liao, Xiaoli Ren, Zhicheng Zeng, Zhao‐Chong Zeng, Wenjie Liao, Guoxin Li and Fangfang Wang and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and International Journal of Cancer.

In The Last Decade

Xiao-Liang Lan

16 papers receiving 1.9k citations

Hit Papers

Cancer-derived exosomal miR-25-3p promotes pre-metastatic... 2018 2026 2020 2023 2018 2019 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiao-Liang Lan China 9 1.6k 1.3k 342 182 138 16 1.9k
Fuyao Song China 8 1.2k 0.7× 900 0.7× 321 0.9× 162 0.9× 132 1.0× 9 1.4k
Cecilia S. Leung United States 11 1.2k 0.7× 824 0.6× 450 1.3× 253 1.4× 148 1.1× 17 1.7k
Yayi Hou China 12 1.3k 0.8× 1.3k 0.9× 227 0.7× 226 1.2× 93 0.7× 14 1.7k
Fatemeh Molaei Iran 7 1.3k 0.8× 864 0.6× 126 0.4× 191 1.0× 113 0.8× 9 1.4k
Kundong Zhang China 14 1.0k 0.6× 767 0.6× 292 0.9× 352 1.9× 122 0.9× 20 1.3k
Yong Song China 14 2.0k 1.2× 2.0k 1.5× 167 0.5× 141 0.8× 121 0.9× 18 2.3k
Teresa Bernadette Steinbichler Austria 17 818 0.5× 592 0.4× 437 1.3× 110 0.6× 222 1.6× 46 1.4k
Genta Sawada Japan 18 1.3k 0.8× 1.1k 0.8× 321 0.9× 118 0.6× 172 1.2× 37 1.7k
Gwangil Kim South Korea 20 919 0.6× 572 0.4× 478 1.4× 352 1.9× 141 1.0× 64 1.6k
Tong-Tao Yang China 12 881 0.5× 756 0.6× 151 0.4× 100 0.5× 132 1.0× 22 1.2k

Countries citing papers authored by Xiao-Liang Lan

Since Specialization
Citations

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

Fields of papers citing papers by Xiao-Liang Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiao-Liang Lan

This figure shows the co-authorship network connecting the top 25 collaborators of Xiao-Liang Lan. A scholar is included among the top collaborators of Xiao-Liang 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 Xiao-Liang Lan. Xiao-Liang Lan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
2.
Wang, Feifei, Dan Zhang, Zhaowen Zhang, et al.. (2022). Overexpression of GSTP1 promotes colorectal cancer cell proliferation, invasion and metastasis by upregulating STAT3. Advances in Clinical and Experimental Medicine. 31(2). 139–149. 15 indexed citations
3.
Wang, Wei, Xuecong Zhang, Chengyong Lei, et al.. (2022). Recurrence risk assessment for stage III colorectal cancer based on five methylation biomarkers in plasma cell‐free DNA. The Journal of Pathology. 259(4). 376–387. 5 indexed citations
4.
Lan, Xiao-Liang, Wanming Hu, Wei Wang, et al.. (2021). CMTM6 expression in M2 macrophages is a potential predictor of PD-1/PD-L1 inhibitor response in colorectal cancer. Cancer Immunology Immunotherapy. 70(11). 3235–3248. 22 indexed citations
5.
Zhang, Xuehua, Xiaojing Li, Xiao-Liang Lan, et al.. (2021). Effect of single-incision plus one port laparoscopic surgery assisted with enhanced recovery after surgery on colorectal cancer: study protocol for a single-arm trial. Translational Cancer Research. 10(12). 5443–5453. 3 indexed citations
6.
Xie, Wei‐Bing, et al.. (2021). [Short-term outcomes of single incision plus one port laparoscopic surgery for colorectal cancer].. PubMed. 24(1). 48–53. 3 indexed citations
7.
Lan, Xiao-Liang, Xiaoxiao Wu, Chao Zhang, et al.. (2021). Genomic evolution during locoregional recurrence in colorectal cancer determined by whole-exome sequencing: a retrospective observational study. SHILAP Revista de lepidopterología. 5(4). 171–180. 1 indexed citations
8.
Wang, Wei, Xiao-Liang Lan, Zhao‐Chong Zeng, et al.. (2019). CAFs secreted exosomes promote metastasis and chemotherapy resistance by enhancing cell stemness and epithelial-mesenchymal transition in colorectal cancer. Molecular Cancer. 18(1). 91–91. 588 indexed citations breakdown →
9.
Shen, Zhiyong, Yongsheng Li, Yuan Fang, et al.. (2019). SNX16 activates c‐Myc signaling by inhibiting ubiquitin‐mediated proteasomal degradation of eEF1A2 in colorectal cancer development. Molecular Oncology. 14(2). 387–406. 27 indexed citations
10.
Hu, Jingjing, Guoyang He, Xiao-Liang Lan, et al.. (2018). Inhibition of ATG12-mediated autophagy by miR-214 enhances radiosensitivity in colorectal cancer. Oncogenesis. 7(2). 16–16. 109 indexed citations
11.
Zeng, Zhicheng, Yuling Li, Xiao-Liang Lan, et al.. (2018). Cancer-derived exosomal miR-25-3p promotes pre-metastatic niche formation by inducing vascular permeability and angiogenesis. Nature Communications. 9(1). 5395–5395. 738 indexed citations breakdown →
12.
Zhu, Xuejin, Fangfang Wang, Jingjing Hu, et al.. (2017). Down‐regulation of DAB2IP promotes colorectal cancer invasion and metastasis by translocating hnRNPK into nucleus to enhance the transcription of MMP2. International Journal of Cancer. 141(1). 172–183. 38 indexed citations
13.
Xie, Huimin, Xiaoli Ren, Xiao-Liang Lan, et al.. (2016). Emerging roles of circRNA_001569 targeting miR-145 in the proliferation and invasion of colorectal cancer. Oncotarget. 7(18). 26680–26691. 368 indexed citations
14.
Deng, Haijun, Dong Liu, Xiangming Mao, et al.. (2016). Phosphodiesterase-5 Inhibitors and Vacuum Erection Device for Penile Rehabilitation After Laparoscopic Nerve-Preserving Radical Proctectomy for Rectal Cancer: A Prospective Controlled Trial. American Journal of Men s Health. 11(3). 641–646. 19 indexed citations
15.
Deng, Haijun, Hong‐Yuan Chen, Liying Zhao, et al.. (2015). Quality of laparoscopic total mesorectal excision: results from a single institution in China.. PubMed. 62(138). 264–7. 5 indexed citations
16.
Wang, Yanan, Wenjun Xiong, Xiao-Liang Lan, et al.. (2014). Suprapubic single incision laparoscopic appendectomy. Journal of Surgical Research. 193(2). 577–582. 4 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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