Qing‐You Kong

1.7k total citations
47 papers, 1.4k citations indexed

About

Qing‐You Kong is a scholar working on Molecular Biology, Geriatrics and Gerontology and Oncology. According to data from OpenAlex, Qing‐You Kong has authored 47 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 17 papers in Geriatrics and Gerontology and 11 papers in Oncology. Recurrent topics in Qing‐You Kong's work include Sirtuins and Resveratrol in Medicine (17 papers), Cancer-related gene regulation (8 papers) and Autophagy in Disease and Therapy (7 papers). Qing‐You Kong is often cited by papers focused on Sirtuins and Resveratrol in Medicine (17 papers), Cancer-related gene regulation (8 papers) and Autophagy in Disease and Therapy (7 papers). Qing‐You Kong collaborates with scholars based in China and United States. Qing‐You Kong's co-authors include Xiaohong Chen, Mo‐Li Wu, Yuan Sun, Jia Liu, Jia Liu, Xiaohong Shu, Hong Li, Song Xue, Xiaoxin Cheng and Jia Liu and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Biochemical Pharmacology.

In The Last Decade

Qing‐You Kong

47 papers receiving 1.4k citations

Peers

Qing‐You Kong

ONCOL

PFM

Mo‐Li Wu China

Weikun Qian China

Enrique A. Castellón Chile

Miyong Yun South Korea

Xianzhong Ding United States

Can Hu China

Qun Zhou United States

Junyu Cao China

Sabarish Ramachandran United States

Mo‐Li Wu China

Qing‐You Kong

643 ×0.8

379 ×1.2

298 ×1.0

ONCOL

230 ×0.9

163 ×1.1

PFM

Citations per year, relative to Qing‐You Kong Qing‐You Kong (= 1×) peers Mo‐Li Wu

Countries citing papers authored by Qing‐You Kong

Since Specialization

Citations

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

Fields of papers citing papers by Qing‐You Kong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qing‐You Kong. 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 Qing‐You Kong. The network helps show where Qing‐You Kong may publish in the future.

Co-authorship network of co-authors of Qing‐You Kong

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

All Works

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20 of 20 papers shown

Zheng, Xu, Bin Jia, Xiaoting Tian, et al.. (2018). Correlation of Reactive Oxygen Species Levels with Resveratrol Sensitivities of Anaplastic Thyroid Cancer Cells. Oxidative Medicine and Cellular Longevity. 2018(1). 6235417–6235417. 38 indexed citations

Liu, Lihong, Hong Li, Xiaoxin Cheng, et al.. (2016). Correlative analyses of the expression levels of PIAS3, p-SHP2, SOCS1 and SOCS3 with STAT3 activation in human astrocytomas. Molecular Medicine Reports. 15(2). 847–852. 5 indexed citations

Shu, Xiaohong, Lili Wang, Hong Li, et al.. (2015). Diffusion Efficiency and Bioavailability of Resveratrol Administered to Rat Brain by Different Routes: Therapeutic Implications. Neurotherapeutics. 12(2). 491–501. 64 indexed citations

Zhang, Peng, Bin Yang, Yuanyuan Yao, et al.. (2015). PIAS3, SHP2 and SOCS3 Expression patterns in Cervical Cancers: Relevance with activation and resveratrol-caused inactivation of STAT3 signaling. Gynecologic Oncology. 139(3). 529–535. 25 indexed citations

Zhang, Peng, Hong Li, Bin Yang, et al.. (2014). Biological significance and therapeutic implication of resveratrol-inhibited Wnt, Notch and STAT3 signaling in cervical cancer cells. Genes & Cancer. 5(5-6). 154–164. 83 indexed citations

Sun, Zheng, Hong Li, Xiaohong Shu, et al.. (2013). Evaluation of resveratrol sensitivities and metabolic patterns in human and rat glioblastoma cells. Cancer Chemotherapy and Pharmacology. 72(5). 965–973. 17 indexed citations

Li, Hong, Xiaohong Chen, Xianghong Yang, et al.. (2012). Expression patterns and potential roles of SIRT1 in human medulloblastoma cells in vivo and in vitro. Neuropathology. 33(1). 7–16. 22 indexed citations

Li, Peinan, Mo‐Li Wu, Shouyu Wang, et al.. (2012). A Cost-Effective Transparency-Based Digital Imaging for Efficient and Accurate Wound Area Measurement. PLoS ONE. 7(5). e38069–e38069. 22 indexed citations

Sun, Zheng, Li Hong, Xiaohong Shu, et al.. (2012). Distinct sulfonation activities in resveratrol‐sensitive and resveratrol‐insensitive human glioblastoma cells. FEBS Journal. 279(13). 2381–2392. 24 indexed citations

10.

Sun, Yuan, Xue Gao, Jia Liu, et al.. (2011). Differential Notch1 and Notch2 expression and frequent activation of Notch signaling in gastric cancers.. Archives of Pathology & Laboratory Medicine. 135(4). 451–8. 46 indexed citations

11.

Wang, Qian Qian, Jingxin Ma, Xianghong Yang, et al.. (2011). CRABP‐II methylation: A critical determinant of retinoic acid resistance of medulloblastoma cells. Molecular Oncology. 6(1). 48–61. 33 indexed citations

12.

Shu, Xiaohong, Hong Li, Xiaoxin Sun, et al.. (2011). Metabolic Patterns and Biotransformation Activities of Resveratrol in Human Glioblastoma Cells: Relevance with Therapeutic Efficacies. PLoS ONE. 6(11). e27484–e27484. 30 indexed citations

13.

Chen, Nannan, Yan Li, Mo‐Li Wu, et al.. (2011). CRABP‐II‐ and FABP5‐independent all‐trans retinoic acid resistance in COLO 16 human cutaneous squamous cancer cells. Experimental Dermatology. 21(1). 13–18. 22 indexed citations

14.

Shu, Xiaohong, Hong Li, Zheng Sun, et al.. (2010). Identification of metabolic pattern and bioactive form of resveratrol in human medulloblastoma cells. Biochemical Pharmacology. 79(10). 1516–1525. 30 indexed citations

15.

Li, Yan, Zhili Liu, Kaili Zhang, et al.. (2009). Methylation‐associated silencing of S100A4 expression in human epidermal cancers. Experimental Dermatology. 18(10). 842–848. 18 indexed citations

16.

Zhang, Kaili, Yuan Sun, Yan Li, et al.. (2008). Increased Frequency of CpG Island Methylator Phenotype and CDH1 Methylation in a Gastric Cancer High-Risk Region of China. Translational Oncology. 1(1). 28–35. 17 indexed citations

17.

Chen, Xiaohong, Qing‐You Kong, Yuan Sun, et al.. (2007). Expression of seven gastric cancer‐associated genes and its relevance for Wnt, NF‐κB and Stat3 signaling. Apmis. 115(12). 1331–1343. 28 indexed citations

18.

Sun, Yuan, Xiaohong Chen, Jia Liu, et al.. (2006). Differential caspase-3 expression in noncancerous, premalignant and cancer tissues of stomach and its clinical implication. Cancer Detection and Prevention. 30(2). 168–173. 30 indexed citations

19.

Huang, Lei, Hong Li, Xiaohong Chen, et al.. (2006). Infrequent COX-2 expression due to promoter hypermethylation in gastric cancers in Dalian, China. Human Pathology. 37(12). 1557–1567. 15 indexed citations

20.

Cheng, Xiaoxin, Xiaohong Chen, Yuan Sun, et al.. (2004). Correlation of Wnt-2 expression and β-catenin intracellular accumulation in Chinese gastric cancers: relevance with tumour dissemination. Cancer Letters. 223(2). 339–347. 68 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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