Sheng Ao

421 total citations
11 papers, 322 citations indexed

About

Sheng Ao is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Sheng Ao has authored 11 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Cancer Research and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Sheng Ao's work include Gastric Cancer Management and Outcomes (4 papers), Cancer-related gene regulation (2 papers) and MicroRNA in disease regulation (2 papers). Sheng Ao is often cited by papers focused on Gastric Cancer Management and Outcomes (4 papers), Cancer-related gene regulation (2 papers) and MicroRNA in disease regulation (2 papers). Sheng Ao collaborates with scholars based in China and Ethiopia. Sheng Ao's co-authors include Jiafu Ji, Ziyu Li, Ling Yu, Tian Gao, Yong Han, Guoqing Lyu, Jianing Hou, Xingming Deng, Xiaojiang Wu and Zhaode Bu and has published in prestigious journals such as PLoS ONE, BMC Cancer and International Journal of Oncology.

In The Last Decade

Sheng Ao

11 papers receiving 317 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sheng Ao China 9 170 100 92 62 62 11 322
Junhui Zhao China 11 137 0.8× 106 1.1× 77 0.8× 52 0.8× 92 1.5× 28 307
Shufang Ning China 10 205 1.2× 70 0.7× 137 1.5× 32 0.5× 81 1.3× 25 367
Mincong Wang China 13 323 1.9× 67 0.7× 200 2.2× 39 0.6× 99 1.6× 25 478
Tianlin He China 10 160 0.9× 50 0.5× 85 0.9× 50 0.8× 116 1.9× 23 312
Jun You China 10 149 0.9× 95 0.9× 69 0.8× 57 0.9× 92 1.5× 35 296
Kefeng Wang China 9 160 0.9× 122 1.2× 92 1.0× 39 0.6× 153 2.5× 17 376
Shigeto Nishikawa Japan 10 171 1.0× 78 0.8× 96 1.0× 53 0.9× 112 1.8× 31 353
Dongdong Zhou China 12 210 1.2× 46 0.5× 146 1.6× 19 0.3× 99 1.6× 29 389
Aundrea L. Oliver United States 5 185 1.1× 70 0.7× 143 1.6× 38 0.6× 112 1.8× 11 327

Countries citing papers authored by Sheng Ao

Since Specialization
Citations

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

Fields of papers citing papers by Sheng Ao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng Ao

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

All Works

11 of 11 papers shown
1.
Ao, Sheng, et al.. (2021). Current status and future perspectives on neoadjuvant therapy in gastric cancer. Chinese Journal of Cancer Research. 33(2). 181–192. 10 indexed citations
2.
Zhou, Kai, Anqiang Wang, Sheng Ao, et al.. (2020). The prognosis of hepatoid adenocarcinoma of the stomach: a propensity score-based analysis. BMC Cancer. 20(1). 671–671. 19 indexed citations
3.
Ji, Ke, Sheng Ao, He Liu, et al.. (2020). Characteristics of cancer susceptibility genes mutations in 282 patients with gastric adenocarcinoma. Chinese Journal of Cancer Research. 32(4). 508–515. 8 indexed citations
4.
Deng, Xingming, et al.. (2019). Prognostic significance of periostin in colorectal cancer. Chinese Journal of Cancer Research. 31(3). 547–556. 17 indexed citations
5.
Hu, Chunlei, Lin Zhang, Jianing Hou, et al.. (2019). Prognostic significance of preoperative skeletal muscle status in patients with gastric cancer after radical gastrectomy.. PubMed. 28(3). 442–449. 8 indexed citations
6.
Wang, Xiaohong, Ying Hu, Hong Du, et al.. (2019). Solamargine inhibits gastric cancer progression by regulating the expression of lncNEAT1_2 via the MAPK signaling pathway. International Journal of Oncology. 54(5). 1545–1554. 46 indexed citations
7.
Guan, Li, Sheng Ao, Jianing Hou, & Guoqing Lyu. (2019). Low expression of miR‑125a‑5p is associated with poor prognosis in patients with gastric cancer. Oncology Letters. 18(2). 1483–1490. 11 indexed citations
8.
Chen, Guo, Li Guan, Jianing Hou, et al.. (2018). Tumor pyruvate kinase M2: A promising molecular target of gastrointestinal cancer. Chinese Journal of Cancer Research. 30(6). 669–676. 8 indexed citations
9.
Guo, Chen, Jianing Hou, Sheng Ao, Xingming Deng, & Guoqing Lyu. (2017). HOXC10 up-regulation promotes gastric cancer cell proliferation and metastasis through MAPK pathway. Chinese Journal of Cancer Research. 29(6). 572–580. 34 indexed citations
10.
Li, Ziyu, Sheng Ao, Zhaode Bu, et al.. (2016). Clinical study of harvesting lymph nodes with carbon nanoparticles in advanced gastric cancer: a prospective randomized trial. World Journal of Surgical Oncology. 14(1). 88–88. 54 indexed citations
11.
Gao, Tian, Yong Han, Ling Yu, et al.. (2014). CCNA2 Is a Prognostic Biomarker for ER+ Breast Cancer and Tamoxifen Resistance. PLoS ONE. 9(3). e91771–e91771. 107 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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