Cun Gao

653 total citations
27 papers, 507 citations indexed

About

Cun Gao is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Cun Gao has authored 27 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Oncology and 7 papers in Cancer Research. Recurrent topics in Cun Gao's work include RNA modifications and cancer (7 papers), Cancer-related molecular mechanisms research (5 papers) and Peptidase Inhibition and Analysis (4 papers). Cun Gao is often cited by papers focused on RNA modifications and cancer (7 papers), Cancer-related molecular mechanisms research (5 papers) and Peptidase Inhibition and Analysis (4 papers). Cun Gao collaborates with scholars based in China. Cun Gao's co-authors include Shuhai Li, Libo Si, Weiming Yue, Hui Tian, Ming Lü, Ling Wang, Ning Hu, Qibo Deng, Yiwei Liu and Shan Liu and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and Biochemical and Biophysical Research Communications.

In The Last Decade

Cun Gao

26 papers receiving 498 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cun Gao China 15 273 123 107 83 54 27 507
Sicheng Liu China 15 397 1.5× 89 0.7× 127 1.2× 69 0.8× 76 1.4× 75 677
Jianhua Yin China 15 236 0.9× 177 1.4× 104 1.0× 170 2.0× 52 1.0× 28 666
Xuewen Liu China 15 293 1.1× 37 0.3× 73 0.7× 50 0.6× 36 0.7× 34 480
Jan Liu Germany 9 396 1.5× 166 1.3× 310 2.9× 37 0.4× 41 0.8× 26 754
Tianyu Shen China 12 217 0.8× 64 0.5× 86 0.8× 72 0.9× 138 2.6× 31 433
Liudi Zhang China 11 161 0.6× 114 0.9× 52 0.5× 42 0.5× 12 0.2× 17 376
Ziyan Chen China 11 118 0.4× 59 0.5× 49 0.5× 50 0.6× 41 0.8× 44 335
Jiangyong Yu China 13 171 0.6× 114 0.9× 79 0.7× 143 1.7× 107 2.0× 32 462
Jiangdong Chen China 6 166 0.6× 98 0.8× 71 0.7× 212 2.6× 16 0.3× 9 465

Countries citing papers authored by Cun Gao

Since Specialization
Citations

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

Fields of papers citing papers by Cun Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cun Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Cun Gao. A scholar is included among the top collaborators of Cun Gao 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 Cun Gao. Cun Gao 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.
Gao, Cun, et al.. (2024). Characteristic Study of a Valve-Matched Flow Single-Piston Miniature Water-Hydraulic Pump. IEEE Access. 12. 110504–110516.
2.
Huang, Ying, et al.. (2023). Outlet Pressure and Flow Characteristics of a New Two-Dimensional Piston Pump with an Overlapped Distributor. Energies. 16(11). 4303–4303. 1 indexed citations
3.
Gao, Cun, et al.. (2023). Research on the Output Characteristic of a New Water Hydraulic Electrohydraulic Motor. IEEE Access. 11. 48868–48880. 1 indexed citations
4.
Gao, Cun, et al.. (2023). Construction of new multi-cage-based MOFs using flexible triangular ligands for efficient gas adsorption and separation. Journal of Solid State Chemistry. 322. 123994–123994. 13 indexed citations
5.
Li, Yongmeng, Yanfei Liu, Cun Gao, et al.. (2021). Negatively Regulated by miR-29c-3p, MTFR1 Promotes the Progression and Glycolysis in Lung Adenocarcinoma via the AMPK/mTOR Signalling Pathway. Frontiers in Cell and Developmental Biology. 9. 771824–771824. 14 indexed citations
6.
Yue, Weiming, Lin Li, Shuhai Li, et al.. (2021). Circular RNA hsa-circ-000881 suppresses the progression of lung adenocarcinoma in vitro via a miR-665/PRICKLE2 axis. Annals of Translational Medicine. 9(6). 498–498. 10 indexed citations
7.
Si, Libo, Hui Tian, Weiming Yue, et al.. (2017). Potential use of microRNA-200c as a prognostic marker in non-small cell lung cancer. Oncology Letters. 14(4). 4325–4330. 25 indexed citations
8.
Gao, Cun. (2016). The effect of Cognitive Emotion Regulation strategies on the vulnerability to Stress-related Sleep Disturbance. 1 indexed citations
9.
Tian, Hui, Weiming Yue, Lin Li, et al.. (2016). Rotenone induces apoptosis in human lung cancer cells by regulating autophagic flux. IUBMB Life. 68(5). 388–393. 30 indexed citations
10.
Li, Lin, Hui Tian, Weiming Yue, et al.. (2016). Subxiphoid vs intercostal single-incision video-assisted thoracoscopic surgery for spontaneous pneumothorax: A randomised controlled trial. International Journal of Surgery. 30. 99–103. 16 indexed citations
11.
Yue, Weiming, Lin Li, Shuhai Li, et al.. (2015). Regulator of G-protein signaling 4: A novel tumor suppressor with prognostic significance in non-small cell lung cancer. Biochemical and Biophysical Research Communications. 469(3). 384–391. 21 indexed citations
12.
Lü, Ming, Hui Tian, Weiming Yue, et al.. (2014). TFIIB-Related Factor 2 Over Expression Is a Prognosis Marker for Early-Stage Non-Small Cell Lung Cancer Correlated with Tumor Angiogenesis. PLoS ONE. 9(2). e88032–e88032. 23 indexed citations
13.
Tian, Hui, Weiming Yue, Lin Li, et al.. (2014). NCOA5 low expression correlates with survival in esophageal squamous cell carcinoma. Medical Oncology. 31(12). 376–376. 16 indexed citations
14.
Tang, Han, Weiming Yue, Lin Li, et al.. (2014). Overexpression of LAPTM4B is correlated with tumor angiogenesis and poor prognosis in non-small cell lung cancer. Medical Oncology. 31(6). 974–974. 22 indexed citations
15.
Lü, Ming, Yu Tian, Weiming Yue, et al.. (2014). GOLPH3, a Good Prognostic Indicator in Early-stage NSCLC Related to Tumor Angiogenesis. Asian Pacific Journal of Cancer Prevention. 15(14). 5793–5798. 15 indexed citations
16.
Tian, Hui, Weiming Yue, Lin Li, et al.. (2014). SIRT1 expression is associated with lymphangiogenesis, lymphovascular invasion and prognosis in pN0 esophageal squamous cell carcinoma. Cell & Bioscience. 4(1). 48–48. 13 indexed citations
17.
Tang, Han, Hui Tian, Weiming Yue, et al.. (2014). LAPTM4B polymorphism is associated with non-small cell lung cancer susceptibility and prognosis. Oncology Reports. 31(5). 2454–2460. 10 indexed citations
18.
Tian, Yu, Ming Lü, Weiming Yue, et al.. (2014). TFIIB-Related Factor 2 Is Associated with Poor Prognosis of Nonsmall Cell Lung Cancer Patients through Promoting Tumor Epithelial-Mesenchymal Transition. BioMed Research International. 2014. 1–13. 21 indexed citations
19.
Lü, Ming, Hui Tian, Weiming Yue, et al.. (2013). Overexpression of TFIIB-related factor 2 is significantly correlated with tumor angiogenesis and poor survival in patients with esophageal squamous cell cancer. Medical Oncology. 30(2). 553–553. 25 indexed citations
20.
Tian, Hui, Lin Li, Shuhai Li, et al.. (2012). Diallyl trisulfide induces apoptosis and inhibits proliferation of A549 cells <italic>in vitro</italic> and <italic>in vivo</italic>. Acta Biochimica et Biophysica Sinica. 44(7). 577–583. 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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