Anlai Ji

433 total citations
12 papers, 368 citations indexed

About

Anlai Ji is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Anlai Ji has authored 12 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Cancer Research and 3 papers in Oncology. Recurrent topics in Anlai Ji's work include MicroRNA in disease regulation (4 papers), Autophagy in Disease and Therapy (3 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). Anlai Ji is often cited by papers focused on MicroRNA in disease regulation (4 papers), Autophagy in Disease and Therapy (3 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). Anlai Ji collaborates with scholars based in China and Poland. Anlai Ji's co-authors include Chunping Jiang, Junhua Wu, Junyi Wu, Zhen Qu, Zhong‐Xia Wang, Yong Jiang, Yitao Ding, Zhongxia Wang, Guang Zhang and Xian Lu and has published in prestigious journals such as Scientific Reports, The International Journal of Biochemistry & Cell Biology and BioMed Research International.

In The Last Decade

Anlai Ji

12 papers receiving 363 citations

Peers

Anlai Ji
Yuan Lu China
Hu Zhou China
Anlai Ji
Citations per year, relative to Anlai Ji Anlai Ji (= 1×) peers Xiaohong Du

Countries citing papers authored by Anlai Ji

Since Specialization
Citations

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

Fields of papers citing papers by Anlai Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anlai Ji

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

All Works

12 of 12 papers shown
1.
Li, Da, et al.. (2023). LncRNAs associated with vascular mimicry establish a novel molecular subtype and prognostic model for pancreatic cancer. Journal of Cancer Research and Clinical Oncology. 149(13). 11571–11584. 1 indexed citations
2.
Ji, Anlai, et al.. (2022). Myricetin Induces Apoptosis and Protective Autophagy through Endoplasmic Reticulum Stress in Hepatocellular Carcinoma. Evidence-based Complementary and Alternative Medicine. 2022. 1–13. 12 indexed citations
3.
Ji, Anlai, et al.. (2022). CD36 accelerates the progression of hepatocellular carcinoma by promoting FAs absorption. Medical Oncology. 39(12). 202–202. 21 indexed citations
4.
Chen, Weibo, Junyi Wu, Weiwei Shi, et al.. (2021). PRRX1 deficiency induces mesenchymal‐epithelial transition through PITX2/miR‐200–dependent SLUG/CTNNB1 regulation in hepatocellular carcinoma. Cancer Science. 112(6). 2158–2172. 10 indexed citations
5.
Zhang, Guang, Zhong‐Xia Wang, Weibo Chen, et al.. (2019). Dual effects of gossypol on human hepatocellular carcinoma via endoplasmic reticulum stress and autophagy. The International Journal of Biochemistry & Cell Biology. 113. 48–57. 7 indexed citations
6.
Hu, Wei, Zhongxia Wang, Shan Zhang, et al.. (2019). IQGAP1 promotes pancreatic cancer progression and epithelial-mesenchymal transition (EMT) through Wnt/β-catenin signaling. Scientific Reports. 9(1). 7539–7539. 48 indexed citations
7.
Wang, Zhongxia, Anlai Ji, Junyi Wu, et al.. (2019). Sphingosine kinase 1 knockout alleviates hepatic ischemia/reperfusion injury by attenuating inflammation and oxidative stress in mice. Hepatobiliary & pancreatic diseases international. 18(3). 255–265. 16 indexed citations
8.
Wu, Junyi, Anlai Ji, Zhong‐Xia Wang, et al.. (2018). Exosome-Mimetic Nanovesicles from Hepatocytes promote hepatocyte proliferation in vitro and liver regeneration in vivo. Scientific Reports. 8(1). 2471–2471. 86 indexed citations
9.
Wu, Junyi, Zhongxia Wang, Guang Zhang, et al.. (2018). Targeted co-delivery of Beclin 1 siRNA and FTY720 to hepatocellular carcinoma by calcium phosphate nanoparticles for enhanced anticancer efficacy. International Journal of Nanomedicine. Volume 13. 1265–1280. 29 indexed citations
10.
Qu, Zhen, Junhua Wu, Junyi Wu, et al.. (2017). Exosomal miR-665 as a novel minimally invasive biomarker for hepatocellular carcinoma diagnosis and prognosis. Oncotarget. 8(46). 80666–80678. 103 indexed citations
11.
Luo, Dongjun, Qing Ni, Anlai Ji, et al.. (2016). Dehydroabietic Acid Derivative QC4 Induces Gastric Cancer Cell Death via Oncosis and Apoptosis. BioMed Research International. 2016. 1–10. 20 indexed citations
12.
Ji, Anlai, et al.. (2015). Effects of Two Common Polymorphisms rs2910164 in miR-146a and rs11614913 in miR-196a2 on Gastric Cancer Susceptibility. Gastroenterology Research and Practice. 2015. 1–10. 15 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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