Kai-Jiang Yu

594 total citations
12 papers, 474 citations indexed

About

Kai-Jiang Yu is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Endocrine and Autonomic Systems. According to data from OpenAlex, Kai-Jiang Yu has authored 12 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 4 papers in Pulmonary and Respiratory Medicine and 3 papers in Endocrine and Autonomic Systems. Recurrent topics in Kai-Jiang Yu's work include Inflammatory Biomarkers in Disease Prognosis (8 papers), Regulation of Appetite and Obesity (3 papers) and Adipose Tissue and Metabolism (3 papers). Kai-Jiang Yu is often cited by papers focused on Inflammatory Biomarkers in Disease Prognosis (8 papers), Regulation of Appetite and Obesity (3 papers) and Adipose Tissue and Metabolism (3 papers). Kai-Jiang Yu collaborates with scholars based in China, United States and Macao. Kai-Jiang Yu's co-authors include Rui-tao Wang, Tiemin Liu, Zhiping Liu, Ying Li, Na Li, Yong Gao, Hongbo Guo, Yiru Huang, Ting Yao and Kevin W. Williams and has published in prestigious journals such as Diabetes, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Kai-Jiang Yu

12 papers receiving 471 citations

Peers

Countries citing papers authored by Kai-Jiang Yu

Since Specialization

Citations

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

Fields of papers citing papers by Kai-Jiang Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai-Jiang Yu. 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 Kai-Jiang Yu. The network helps show where Kai-Jiang Yu may publish in the future.

Co-authorship network of co-authors of Kai-Jiang Yu

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

All Works

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12 of 12 papers shown

#	Work	Indexed citations
1	TrpC5 Mediates Acute Leptin and Serotonin Effects via Pomc Neurons 2017 ·Cell Reports ·Yong Gao, Ting Yao, Zhuo Deng, Jong‐Woo Sohn, Jia Sun, Yiru Huang, Xingxing Kong, Kai-Jiang Yu, Rui-tao Wang, Hong Chen, Hongbo Guo, Jianqun Yan, Kathryn A. Cunningham, Yongsheng Chang, Tiemin Liu, Kevin W. Williams	75
2	Elevated mean platelet volume predicts poor prognosis in colorectal cancer 2017 ·Scientific Reports ·Na Li, Zhiwei Yu, Xin Zhang, Tiemin Liu, (unknown), Rui-tao Wang, Kai-Jiang Yu	51
3	Higher platelet distribution width predicts poor prognosis in laryngeal cancer 2017 ·Oncotarget ·Huan Zhang, Li Liu, Shuang Fu, Yan-Song Liu, Changsong Wang, Tiemin Liu, Zhiping Liu, Rui-tao Wang, Kai-Jiang Yu	44
4	Cancer antigen 15-3, platelet distribution width, and fibrinogen in combination to distinguish breast cancer from benign breast disease in non-conclusive mammography patients 2017 ·Oncotarget ·Shuang Fu, (unknown), (unknown), Hongxue Meng, Cheng Qian, Tiemin Liu, Zhiping Liu, Rui-tao Wang, Kai-Jiang Yu	7
5	Increased platelet distribution width predicts poor prognosis in melanoma patients 2017 ·Scientific Reports ·Na Li, (unknown), Xiaoyi Huang, (unknown), Tiemin Liu, Zhiping Liu, Rui-tao Wang, Kai-Jiang Yu	27
6	Platelet distribution width correlates with prognosis of gastric cancer 2017 ·Oncotarget ·Xin Zhang, (unknown), Shuang Fu, (unknown), Yan-Song Liu, Zhiping Liu, Tiemin Liu, Rui-tao Wang, Kai-Jiang Yu	33
7	Suppression of Ghrelin Exacerbates HFCS-Induced Adiposity and Insulin Resistance 2017 ·International Journal of Molecular Sciences ·Xiaojun Ma, Ligen Lin, Jing Yue, Chia‐Shan Wu, (unknown), Ruitao Wang, Kai-Jiang Yu, Sridevi Devaraj, Peter S. Murano, Zheng Chen, Yuxiang Sun	25
8	Mean platelet volume, platelet distribution width and carcinoembryonic antigen to discriminate gastric cancer from gastric ulcer 2017 ·Oncotarget ·(unknown), Na Li, Xin Zhang, Huan Zhang, Yue Bu, Yuxiang Sun, Tiemin Liu, Rui-tao Wang, Kai-Jiang Yu	18
9	Decreased mean platelet volume predicts poor prognosis in invasive bladder cancer 2017 ·Oncotarget ·Xin Wang, (unknown), Yangyang Xu, Li Liu, (unknown), Tiemin Liu, Zhiping Liu, Rui-tao Wang, Kai-Jiang Yu	38
10	Adiponectin potentiates the acute effects of leptin in arcuate Pomc neurons 2016 ·Molecular Metabolism ·Jia Sun, Yong Gao, Ting Yao, Yiru Huang, Zhenyan He, Xingxing Kong, Kai-Jiang Yu, Rui-tao Wang, Hongbo Guo, Jianqun Yan, Yongsheng Chang, Hong Chen, Philipp E. Scherer, Tiemin Liu, Kevin W. Williams	55
11	Ire1α in Pomc Neurons Is Required for Thermogenesis and Glycemia 2016 ·Diabetes ·Ting Yao, Zhuo Deng, Yong Gao, Jia Sun, Xingxing Kong, Yiru Huang, Zhenyan He, Yanchao Xu, Yongsheng Chang, Kai-Jiang Yu, (unknown), Eric D. Berglund, Rui-tao Wang, Hongbo Guo, Hong Chen, Xu Li, Randal J. Kaufman, Jianqun Yan, Tiemin Liu, Kevin W. Williams	36
12	Neutrophil–Lymphocyte ratio is associated with arterial stiffness in diabetic retinopathy in type 2 diabetes 2014 ·Journal of Diabetes and its Complications ·Rui-tao Wang, (unknown), Ying Li, Tiemin Liu, Kai-Jiang Yu	65

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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