Zhishi Yang

608 total citations
10 papers, 432 citations indexed

About

Zhishi Yang is a scholar working on Surgery, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Zhishi Yang has authored 10 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 4 papers in Molecular Biology and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Zhishi Yang's work include Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers), Cancer, Lipids, and Metabolism (3 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). Zhishi Yang is often cited by papers focused on Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers), Cancer, Lipids, and Metabolism (3 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). Zhishi Yang collaborates with scholars based in China, United States and South Korea. Zhishi Yang's co-authors include Hongyang Wang, Wenhao Qin, Feng Shen, Bo Yuan, Yao Chen, Jing Fu, Mian Li, Yingyi Qin, Xiuliang Cui and Yufang Bi and has published in prestigious journals such as Gastroenterology, Hepatology and Cancer Letters.

In The Last Decade

Zhishi Yang

10 papers receiving 427 citations

Peers

Zhishi Yang

CR

MB

SURGE

PRM

ONCOL

Guohe Song China

Takahiko Sakaue Japan

Yuchao He China

Yaliang Lan China

Guangyan Zhangyuan China

Wenxuan Wu China

Bo Liang China

Chan Xiang China

Diana Becker Germany

Everardo Macias United States

Guohe Song China

Zhishi Yang

142 ×0.7

CR

216 ×1.2

MB

51 ×0.4

SURGE

91 ×0.9

PRM

131 ×1.3

ONCOL

Citations per year, relative to Zhishi Yang Zhishi Yang (= 1×) peers Guohe Song

Countries citing papers authored by Zhishi Yang

Since Specialization

Citations

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

Fields of papers citing papers by Zhishi Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhishi Yang

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

All Works

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10 of 10 papers shown

1.

Zou, Yiran, Xin‐Fei Xu, Qinjunjie Chen, et al.. (2024). Sex disparity in clinical characteristics and long-term prognosis after liver resection for patients with intrahepatic cholangiocarcinoma: A propensity score matching analysis. Heliyon. 10(9). e29910–e29910. 7 indexed citations

2.

Xiang, Daimin, Junyu Liu, Wei Dong, et al.. (2023). m6A RNA methylation-mediated upregulation of HLF promotes intrahepatic cholangiocarcinoma progression by regulating the FZD4/β-catenin signaling pathway. Cancer Letters. 560. 216144–216144. 17 indexed citations

3.

Zhao, Huan, et al.. (2022). High expression of aurora kinase B predicts poor prognosis in hepatocellular carcinoma after curative surgery and its effects on the tumor microenvironment. Annals of Translational Medicine. 10(21). 1168–1168. 9 indexed citations

4.

Qin, Wenhao, Zhishi Yang, Mian Li, et al.. (2020). High Serum Levels of Cholesterol Increase Antitumor Functions of Nature Killer Cells and Reduce Growth of Liver Tumors in Mice. Gastroenterology. 158(6). 1713–1727. 145 indexed citations

5.

Zhao, Xiaofang, Wenhao Qin, Youhai Jiang, et al.. (2020). ACADL plays a tumor-suppressor role by targeting Hippo/YAP signaling in hepatocellular carcinoma. npj Precision Oncology. 4(1). 7–7. 60 indexed citations

6.

Si, Anfeng, Jun Li, Zhishi Yang, et al.. (2019). Impact of Anatomical Versus Non-anatomical Liver Resection on Short- and Long-Term Outcomes for Patients with Intrahepatic Cholangiocarcinoma. Annals of Surgical Oncology. 26(6). 1841–1850. 61 indexed citations

7.

Xu, An, Jing Fu, Wenhao Qin, et al.. (2018). Diet-induced hepatic steatosis activates Ras to promote hepatocarcinogenesis via CPT1α. Cancer Letters. 442. 40–52. 16 indexed citations

8.

Yang, Zhishi, Wenhao Qin, Yao Chen, et al.. (2018). Cholesterol inhibits hepatocellular carcinoma invasion and metastasis by promoting CD44 localization in lipid rafts. Cancer Letters. 429. 66–77. 79 indexed citations

9.

Wei, Wenxin, Zhishi Yang, Jun Li, et al.. (2018). Long-term survival after partial hepatectomy for sub-stage patients with intermediate stage hepatocellular carcinoma. International Journal of Surgery. 56. 256–263. 9 indexed citations

10.

Wang, Bibo, Jing Fu, Ting Yu, et al.. (2017). Contradictory effects of mitochondria‐ and non‐mitochondria‐targeted antioxidants on hepatocarcinogenesis by altering DNA repair in mice. Hepatology. 67(2). 623–635. 29 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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