Yanong Wang

3.2k total citations · 1 hit paper
54 papers, 1.8k citations indexed

About

Yanong Wang is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Yanong Wang has authored 54 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Pulmonary and Respiratory Medicine, 24 papers in Surgery and 15 papers in Molecular Biology. Recurrent topics in Yanong Wang's work include Gastric Cancer Management and Outcomes (24 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (14 papers) and Metastasis and carcinoma case studies (12 papers). Yanong Wang is often cited by papers focused on Gastric Cancer Management and Outcomes (24 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (14 papers) and Metastasis and carcinoma case studies (12 papers). Yanong Wang collaborates with scholars based in China, United States and Finland. Yanong Wang's co-authors include Xiaowen Liu, Yingqiang Shi, Huiyan Zhu, Hong Cai, Ziwen Long, Weiqi Sheng, Yu Xu, Jianghong Wu, Xianghuo He and Chunyang Bao and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Yanong Wang

51 papers receiving 1.8k citations

Hit Papers

Circular RNA profile identifies circPVT1 as a proliferati... 2016 2026 2019 2022 2016 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yanong Wang China 23 992 800 489 478 339 54 1.8k
Takeshi Iwaya Japan 24 1.1k 1.1× 805 1.0× 624 1.3× 569 1.2× 364 1.1× 82 2.1k
Toshiya Ochiai Japan 26 868 0.9× 788 1.0× 733 1.5× 702 1.5× 747 2.2× 154 2.3k
Akira Ooki Japan 20 595 0.6× 303 0.4× 331 0.7× 456 1.0× 617 1.8× 98 1.4k
Akira Tomokuni Japan 22 778 0.8× 745 0.9× 566 1.2× 339 0.7× 570 1.7× 93 1.8k
Toshio Kuwai Japan 28 717 0.7× 474 0.6× 826 1.7× 813 1.7× 1.1k 3.3× 117 2.2k
Ioan Jung Romania 20 396 0.4× 260 0.3× 326 0.7× 299 0.6× 517 1.5× 113 1.3k
Zhen Huo China 21 460 0.5× 390 0.5× 480 1.0× 469 1.0× 651 1.9× 105 1.5k
Shintaro Fujihara Japan 26 486 0.5× 253 0.3× 892 1.8× 969 2.0× 357 1.1× 146 1.9k
Hong Xie China 18 501 0.5× 495 0.6× 317 0.6× 126 0.3× 174 0.5× 42 1.1k

Countries citing papers authored by Yanong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yanong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanong Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yanong Wang. A scholar is included among the top collaborators of Yanong Wang 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 Yanong Wang. Yanong Wang 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
2.
Dai, Peng, Zhixuan Wang, Zhiyong Tang, et al.. (2025). Bismuth-Doped Ag2Te Colloidal Quantum Dots for High-Performance Shortwave-Infrared Photodetectors. Inorganic Chemistry. 64(28). 14637–14643.
4.
Zang, Mingde, Junyi Hou, Yakai Huang, et al.. (2021). Crocetin suppresses angiogenesis and metastasis through inhibiting sonic hedgehog signaling pathway in gastric cancer. Biochemical and Biophysical Research Communications. 576. 86–92. 21 indexed citations
5.
Fang, Yantian, et al.. (2019). miR-622 inhibits angiogenesis by suppressing the CXCR4–VEGFA axis in colorectal cancer. Gene. 699. 37–42. 38 indexed citations
6.
Chen, Jie, Yan Li, Qiupeng Zheng, et al.. (2016). Circular RNA profile identifies circPVT1 as a proliferative factor and prognostic marker in gastric cancer. Cancer Letters. 388. 208–219. 580 indexed citations breakdown →
7.
Chen, Jie, Yu Xu, Ziwen Long, et al.. (2016). Impact of Age on the Prognosis of Operable Gastric Cancer Patients. Medicine. 95(24). e3944–e3944. 14 indexed citations
8.
Liu, Xiaowen, Ziwen Long, Hong Cai, et al.. (2014). Analysis of Lymph Node Metastasis Correlation with Prognosis in Patients with T2 Gastric Cancer. PLoS ONE. 9(8). e105112–e105112. 14 indexed citations
9.
Liu, Xiaowen, Hongmei Yu, Hong Cai, & Yanong Wang. (2014). The expression and clinical significance of miR-132 in gastric cancer patients. Diagnostic Pathology. 9(1). 57–57. 29 indexed citations
10.
Liu, Xiaowen, Hong Cai, & Yanong Wang. (2012). Prognostic significance of tumor markers in T4a gastric cancer. World Journal of Surgical Oncology. 10(1). 68–68. 28 indexed citations
11.
Wang, Mengyun, Ruoxin Zhang, Jing He, et al.. (2012). Potentially Functional Variants of PLCE1 Identified by GWASs Contribute to Gastric Adenocarcinoma Susceptibility in an Eastern Chinese Population. PLoS ONE. 7(3). e31932–e31932. 47 indexed citations
12.
Liu, Xiaowen, Hong Cai, Yingqiang Shi, & Yanong Wang. (2012). Prognostic Factors in Patients with Node-Negative Gastric Cancer: A Single Center Experience from China. Journal of Gastrointestinal Surgery. 16(6). 1123–1127. 14 indexed citations
13.
Liu, Xiaowen, Hong Cai, Weiqi Sheng, & Yanong Wang. (2012). Long-Term Results and Prognostic Factors of Gastric Cancer Patients with Microscopic Peritoneal Carcinomatosis. PLoS ONE. 7(5). e37284–e37284. 21 indexed citations
14.
Liu, Xiaowen, Hong Cai, Hua Huang, et al.. (2011). The Prognostic Significance of Apoptosis-Related Biological Markers in Chinese Gastric Cancer Patients. PLoS ONE. 6(12). e29670–e29670. 45 indexed citations
15.
Liu, Xiaowen, Yufan Cheng, Weiqi Sheng, et al.. (2010). Clinicopathologic features and prognostic factors in alpha‐fetoprotein‐producing gastric cancers: Analysis of 104 cases. Journal of Surgical Oncology. 102(3). 249–255. 135 indexed citations
16.
Huang, Kai, Jianghong Wu, Huiyan Zhu, et al.. (2010). Survival After Anatomic Resection Versus Nonanatomic Resection for Hepatocellular Carcinoma: A Meta-Analysis. Digestive Diseases and Sciences. 56(6). 1626–1633. 55 indexed citations
17.
Wang, Xinying, Liya Pan, Ping Zhang, et al.. (2010). Enteral Nutrition Improves Clinical Outcome and Shortens Hospital Stay After Cancer Surgery. Journal of Investigative Surgery. 23(6). 309–313. 20 indexed citations
18.
Liu, Xiaowen, Yufan Cheng, Weiqi Sheng, et al.. (2010). Analysis of Clinicopathologic Features and Prognostic Factors in Hepatoid Adenocarcinoma of the Stomach. The American Journal of Surgical Pathology. 34(10). 1465–1471. 71 indexed citations
19.
Liu, Xiaowen, et al.. (2009). Prognostic Significance of Tumor Size in T3 Gastric Cancer. Annals of Surgical Oncology. 16(7). 1875–1882. 36 indexed citations
20.
Wang, Yanong. (2004). Clinical and pathological characteristics of high-grade colorectal intraepithelial neoplastic changes and its surgical treatment (with a report on 83 cases). Zhongguo aizheng zazhi. 1 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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