Yingjian Liang

5.3k total citations
94 papers, 3.0k citations indexed

About

Yingjian Liang is a scholar working on Molecular Biology, Epidemiology and Cancer Research. According to data from OpenAlex, Yingjian Liang has authored 94 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 23 papers in Epidemiology and 22 papers in Cancer Research. Recurrent topics in Yingjian Liang's work include Hepatocellular Carcinoma Treatment and Prognosis (13 papers), Cancer, Hypoxia, and Metabolism (11 papers) and Sepsis Diagnosis and Treatment (9 papers). Yingjian Liang is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (13 papers), Cancer, Hypoxia, and Metabolism (11 papers) and Sepsis Diagnosis and Treatment (9 papers). Yingjian Liang collaborates with scholars based in China, United States and Hong Kong. Yingjian Liang's co-authors include Juan Liu, Zhaohui Feng, Tongsen Zheng, Jiabei Wang, Lianxin Liu, Hongchi Jiang, Ruipeng Song, Shangha Pan, Dalong Yin and Meihua Lin and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Yingjian Liang

86 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yingjian Liang China 29 1.6k 999 507 356 349 94 3.0k
Matthias S. Matter Switzerland 32 1.6k 1.0× 1.0k 1.0× 903 1.8× 429 1.2× 617 1.8× 91 3.7k
Yosuke Hirotsu Japan 29 1.3k 0.8× 669 0.7× 557 1.1× 399 1.1× 147 0.4× 120 2.9k
Ying Gao China 27 1.6k 1.0× 580 0.6× 322 0.6× 336 0.9× 209 0.6× 127 2.6k
Huarong Chen China 37 2.2k 1.3× 1.2k 1.2× 685 1.4× 312 0.9× 404 1.2× 103 3.4k
Jinsheng Yu United States 27 1.2k 0.7× 549 0.5× 568 1.1× 409 1.1× 421 1.2× 53 2.9k
Fouad Al‐Dayel Saudi Arabia 37 1.9k 1.2× 975 1.0× 1.3k 2.7× 348 1.0× 270 0.8× 186 4.2k
Juan Lü China 36 2.7k 1.6× 1.9k 1.9× 712 1.4× 286 0.8× 461 1.3× 143 4.1k
Hiroaki Kanda Japan 22 2.0k 1.3× 624 0.6× 1.2k 2.3× 699 2.0× 391 1.1× 98 3.9k
Shuijun Zhang China 27 1.7k 1.1× 878 0.9× 406 0.8× 384 1.1× 350 1.0× 176 2.9k
Satoshi Shimizu Japan 30 1.9k 1.2× 712 0.7× 838 1.7× 1.2k 3.4× 467 1.3× 135 4.3k

Countries citing papers authored by Yingjian Liang

Since Specialization
Citations

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

Fields of papers citing papers by Yingjian Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingjian Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Yingjian Liang. A scholar is included among the top collaborators of Yingjian Liang 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 Yingjian Liang. Yingjian Liang 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.
Teng, Zhixia, et al.. (2024). Drug repositioning by collaborative learning based on graph convolutional inductive network. Future Generation Computer Systems. 162. 107491–107491. 2 indexed citations
2.
Wang, Ming-Da, Yuan Chen, Yingjian Liang, et al.. (2023). Efficacy of ginseng-based Renshenguben oral solution for cancer-related fatigue among patients with advanced-stage hepatocellular carcinoma: A prospective multicenter cohort study. Hepatobiliary & pancreatic diseases international. 23(3). 249–256. 1 indexed citations
3.
4.
Liang, Lei, Chao Li, Han Wu, et al.. (2021). Long-term surgical outcomes of liver resection for hepatocellular carcinoma in patients with hepatitis B virus and hepatitis C virus co-infection: A multicenter observational study. Annals of Hepato-Biliary-Pancreatic Surgery. 25(1). S245–S245. 1 indexed citations
5.
Liang, Yingjian, Meizhu Chen, Cuiyan Tan, et al.. (2021). Successful Sequential Treatment for Severe Asthma Coexisting COVID-19 via Budesonide/Glycopyrrolate/Formoterol Fumarate. International Journal of General Medicine. Volume 14. 357–359. 3 indexed citations
6.
Zhang, Xiaojuan, et al.. (2021). Usefulness of metagenomic next-generation sequencing in adenovirus 7-induced acute respiratory distress syndrome: A case report. World Journal of Clinical Cases. 9(21). 6067–6072. 3 indexed citations
7.
Liu, Jing, Changli Tu, Jinyan Yu, et al.. (2020). Maternal microbiome regulation prevents early allergic airway diseases in mouse offspring. Pediatric Allergy and Immunology. 31(8). 962–973. 5 indexed citations
8.
Liang, Yingjian, Dandan Zhang, Tongsen Zheng, et al.. (2020). lncRNA-SOX2OT promotes hepatocellular carcinoma invasion and metastasis through miR-122-5p-mediated activation of PKM2. Oncogenesis. 9(5). 54–54. 47 indexed citations
9.
Tan, Cuiyan, et al.. (2020). SARS-CoV-2 viremia may predict rapid deterioration of COVID-19 patients. The Brazilian Journal of Infectious Diseases. 24(6). 565–569. 21 indexed citations
10.
Wang, Zhenguo, Zhonghe Li, Changli Tu, et al.. (2020). <p>Effect of <em>SARS-CoV-2</em> Infection on the Microbial Composition of Upper Airway</p>. Infection and Drug Resistance. Volume 13. 2637–2640. 5 indexed citations
11.
Liu, Yina, et al.. (2019). Unfractionated Heparin Alleviates Sepsis-Induced Acute Lung Injury by Protecting Tight Junctions. Journal of Surgical Research. 238. 175–185. 76 indexed citations
12.
Zhong, Lan-Lan, Cuiyan Tan, Adam P. Roberts, et al.. (2019). <p>Multiplex loop-mediated isothermal amplification (multi-LAMP) assay for rapid detection of <em>mcr-1</em> to <em>mcr-5</em> in colistin-resistant bacteria</p>. Infection and Drug Resistance. Volume 12. 1877–1887. 38 indexed citations
13.
14.
Liang, Yingjian, Baihong Pan, Hasan B. Alam, et al.. (2018). Inhibition of peptidylarginine deiminase alleviates LPS-induced pulmonary dysfunction and improves survival in a mouse model of lethal endotoxemia. European Journal of Pharmacology. 833. 432–440. 78 indexed citations
15.
Li, Xin, Yingjian Liang, Xiaojuan Zhang, & Xiaochun Ma. (2018). [Unfractionated heparin ameliorates lipopolysaccharide induced expressions of nitric oxide and reactive oxygen species in renal microvascular endothelial cells].. PubMed. 30(5). 405–408. 4 indexed citations
16.
Liu, Xiujuan, Fuzai Yin, Lanxiang Liu, et al.. (2017). Roles of pulmonary vascular endothelial cell injury and dimethylargininedimethylaminohydrolase/nitric oxide synthase/nitric oxide-system changes in the occurrence of diabetic sepsis in rats. Biomedical Research-tokyo. 28(11). 4837–4842.
17.
Zheng, Tongsen, Dalong Yin, Jiabei Wang, et al.. (2015). Selecting molecular therapeutic drug targets based on the expression profiles of intrahepatic cholangiocarcinomas and miRNA-mRNA regulatory networks. Oncology Reports. 35(1). 382–390. 3 indexed citations
18.
19.
Liang, Yingjian, Dalong Yin, Tongsen Zheng, et al.. (2011). Diphenyl Difluoroketone: A Potent Chemotherapy Candidate for Human Hepatocellular Carcinoma. PLoS ONE. 6(8). e23908–e23908. 19 indexed citations
20.
Bentley, Marvin, et al.. (2010). α-Synuclein Delays Endoplasmic Reticulum (ER)-to-Golgi Transport in Mammalian Cells by Antagonizing ER/Golgi SNAREs. Molecular Biology of the Cell. 21(11). 1850–1863. 181 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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