Ninghua Yao

657 total citations
43 papers, 516 citations indexed

About

Ninghua Yao is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Ninghua Yao has authored 43 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 25 papers in Cancer Research and 10 papers in Oncology. Recurrent topics in Ninghua Yao's work include Cancer, Hypoxia, and Metabolism (13 papers), RNA modifications and cancer (12 papers) and Cancer-related molecular mechanisms research (8 papers). Ninghua Yao is often cited by papers focused on Cancer, Hypoxia, and Metabolism (13 papers), RNA modifications and cancer (12 papers) and Cancer-related molecular mechanisms research (8 papers). Ninghua Yao collaborates with scholars based in China, United States and Japan. Ninghua Yao's co-authors include Jing Qian, Dengfu Yao, Liwei Qiu, Shanshan Li, Ping Chen, Yinzhu Bian, Xiaodi Yan, Zhizhen Dong, Yan Wang and Li Wang and has published in prestigious journals such as Scientific Reports, Life Sciences and Journal of Cellular Physiology.

In The Last Decade

Ninghua Yao

41 papers receiving 512 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ninghua Yao China 13 331 266 117 79 68 43 516
Guang-Ang Tian China 13 324 1.0× 180 0.7× 166 1.4× 93 1.2× 129 1.9× 20 582
Zhe Yang China 15 407 1.2× 280 1.1× 135 1.2× 101 1.3× 81 1.2× 42 656
Ji-Hai Yu China 12 276 0.8× 143 0.5× 140 1.2× 46 0.6× 58 0.9× 19 483
Guangyan Zhangyuan China 13 349 1.1× 219 0.8× 113 1.0× 70 0.9× 97 1.4× 16 549
Mitsuhiro Hishida Japan 12 309 0.9× 152 0.6× 91 0.8× 82 1.0× 40 0.6× 23 484
Michaela Bissinger Germany 11 387 1.2× 172 0.6× 101 0.9× 40 0.5× 38 0.6× 16 549
Ketuan Huang China 14 317 1.0× 270 1.0× 134 1.1× 136 1.7× 45 0.7× 32 517
Yu Yin China 13 329 1.0× 254 1.0× 106 0.9× 94 1.2× 35 0.5× 30 525
Linjun Hu China 13 250 0.8× 211 0.8× 113 1.0× 89 1.1× 98 1.4× 28 482
Baoxin Qian China 9 345 1.0× 221 0.8× 113 1.0× 38 0.5× 29 0.4× 18 512

Countries citing papers authored by Ninghua Yao

Since Specialization
Citations

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

Fields of papers citing papers by Ninghua Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ninghua Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Ninghua Yao. A scholar is included among the top collaborators of Ninghua Yao 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 Ninghua Yao. Ninghua Yao 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.
Jiang, Wei, Li Zhou, Yu Shi, et al.. (2025). Radiomics-based machine learning for glioma grade classification: a multicenter study with SHapley Additive exPlanations interpretability analysis. Translational Cancer Research. 14(10). 7329–7346.
2.
Xu, Huawei, Yujie Wang, Deng Zhang, et al.. (2023). Liquid tumor microenvironment enhances WNT signaling pathway of peritoneal metastasis of gastric cancer. Scientific Reports. 13(1). 11125–11125. 3 indexed citations
4.
Wang, Xiaodong, Jing Qian, Ninghua Yao, et al.. (2022). Identification of metabolism-related long non-coding RNA (lncRNA) signature predicts prognosis and immune infiltrates in hepatocellular carcinoma. Annals of Translational Medicine. 10(10). 595–595. 2 indexed citations
5.
Yao, Ninghua, et al.. (2022). Effects of mFOLFOX6 regimen combined with carrelizumab on immune function and prognosis in patients with microsatellite instability colorectal cancer. Cellular and Molecular Biology. 67(5). 356–362. 6 indexed citations
6.
Wang, Yilang, Xiaohong Chen, Ninghua Yao, et al.. (2022). MiR-448 suppresses cell proliferation and glycolysis of hepatocellular carcinoma through inhibiting IGF-1R expression. Journal of Gastrointestinal Oncology. 13(1). 355–367. 6 indexed citations
7.
Yao, Ninghua, Xiaodi Yan, Jing Qian, et al.. (2022). Systematic analysis of ferroptosis-related long non-coding RNA predicting prognosis in patients with lung squamous cell carcinoma. Translational Lung Cancer Research. 11(4). 632–646. 8 indexed citations
8.
Dai, Xiaoyan, Liang Ma, Xiaodi Yan, et al.. (2021). A metabolism-related gene signature for predicting the prognosis and therapeutic responses in patients with hepatocellular carcinoma. Annals of Translational Medicine. 9(6). 500–500. 21 indexed citations
9.
Wang, Yan, Jie Sun, & Ninghua Yao. (2021). Correlation of the AKT/mTOR signaling pathway with the clinicopathological features and prognosis of nasopharyngeal carcinoma. European Journal of Histochemistry. 65(4). 13 indexed citations
10.
Zhang, Yijian, Kai Chen, Li Li, et al.. (2021). CCR4 is a prognostic biomarker and correlated with immune infiltrates in head and neck squamous cell carcinoma. Annals of Translational Medicine. 9(18). 1443–1443. 12 indexed citations
11.
Shi, Yu, Yan Wang, Jing Qian, et al.. (2020). MGMT expression affects the gemcitabine resistance of pancreatic cancer cells. Life Sciences. 259. 118148–118148. 22 indexed citations
12.
Shi, Yu, et al.. (2020). Investigation of Potential Mechanisms Associated with Non-small Cell Lung Cancer. Journal of Computational Biology. 27(9). 1433–1442. 5 indexed citations
13.
Liu, Jing, Liang Ma, Song Yao, et al.. (2020). Identification of critical genes in gastric cancer to predict prognosis using bioinformatics analysis methods. Annals of Translational Medicine. 8(14). 884–884. 6 indexed citations
14.
Yao, Ninghua, et al.. (2020). Circular RNA_LARP4 Sponges miR-1323 and Hampers Progression of Esophageal Squamous Cell Carcinoma Through Modulating PTEN/PI3K/AKT Pathway. Digestive Diseases and Sciences. 65(8). 2272–2283. 32 indexed citations
15.
Yao, Ninghua, Shu Zhang, Song Yao, et al.. (2020). Identification of critical radioresistance genes in esophageal squamous cell carcinoma by whole-exome sequencing. Annals of Translational Medicine. 8(16). 998–998. 6 indexed citations
16.
Yao, Ninghua, et al.. (2019). TRIM27 promotes the development of esophagus cancer via regulating PTEN/AKT signaling pathway. Cancer Cell International. 19(1). 283–283. 43 indexed citations
17.
Song, Yao, et al.. (2019). IL17RB expression might predict prognosis and benefit from gemcitabine in patients with resectable pancreatic cancer. Pathology - Research and Practice. 215(12). 152650–152650. 6 indexed citations
18.
Yao, Ninghua, Dengfu Yao, Li Wang, et al.. (2012). Inhibition of autocrine IGF-II on effect of human HepG2 cell proliferation and angiogenesis factor expression. Tumor Biology. 33(5). 1767–1776. 23 indexed citations
19.
Li, Shanshan, Dengfu Yao, Li Wang, et al.. (2011). Expression characteristics of HIF-1α and its clinical values in diagnosis and prognosis of hepatocellular carcinoma. Hepatitis Monthly. 11(10). 821–828. 41 indexed citations
20.
Qian, Jing, Dengfu Yao, Zhizhen Dong, et al.. (2010). Characteristics of Hepatic IGF-II Expression and Monitored Levels of Circulating IGF-II mRNA in Metastasis of Hepatocellular Carcinoma. American Journal of Clinical Pathology. 134(5). 799–806. 40 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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