Xiang Hu

844 total citations
32 papers, 615 citations indexed

About

Xiang Hu is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Xiang Hu has authored 32 papers receiving a total of 615 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 10 papers in Cardiology and Cardiovascular Medicine and 9 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Xiang Hu's work include Fibroblast Growth Factor Research (6 papers), Liver Disease Diagnosis and Treatment (6 papers) and Metabolism, Diabetes, and Cancer (6 papers). Xiang Hu is often cited by papers focused on Fibroblast Growth Factor Research (6 papers), Liver Disease Diagnosis and Treatment (6 papers) and Metabolism, Diabetes, and Cancer (6 papers). Xiang Hu collaborates with scholars based in China, United States and India. Xiang Hu's co-authors include Qiang Zhao, Weiping Jia, Yuqian Bao, Shih-Lung Woo, Lulu Chen, Rachel Botchlett, Juan Zheng, Chaodong Wu, Yuqing Huo and Xiaoping Pan and has published in prestigious journals such as PLoS ONE, Scientific Reports and Life Sciences.

In The Last Decade

Xiang Hu

32 papers receiving 610 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiang Hu China 14 257 187 163 157 126 32 615
Fone‐Ching Hsiao Taiwan 18 241 0.9× 161 0.9× 165 1.0× 256 1.6× 133 1.1× 42 848
Shuli He China 13 154 0.6× 155 0.8× 151 0.9× 154 1.0× 66 0.5× 32 685
Linqiang Ma China 15 211 0.8× 255 1.4× 118 0.7× 298 1.9× 67 0.5× 29 671
Julia Möllmann Germany 16 294 1.1× 194 1.0× 113 0.7× 382 2.4× 122 1.0× 22 831
Минара Шамхаловна Шамхалова Russia 11 191 0.7× 172 0.9× 102 0.6× 353 2.2× 85 0.7× 86 618
Mizuko Osaka Japan 13 214 0.8× 96 0.5× 168 1.0× 91 0.6× 83 0.7× 23 688
Feng Bai China 14 226 0.9× 67 0.4× 84 0.5× 144 0.9× 93 0.7× 32 609
Cemal Nuri Erçin Türkiye 18 162 0.6× 215 1.1× 512 3.1× 243 1.5× 182 1.4× 37 885
Muhammed M. Yaqoob United Kingdom 10 184 0.7× 97 0.5× 95 0.6× 68 0.4× 72 0.6× 15 483
Jinshan Wu China 11 145 0.6× 77 0.4× 89 0.5× 153 1.0× 63 0.5× 16 515

Countries citing papers authored by Xiang Hu

Since Specialization
Citations

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

Fields of papers citing papers by Xiang Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiang Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiang Hu. A scholar is included among the top collaborators of Xiang Hu 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 Xiang Hu. Xiang Hu 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.
Peng, Miaomiao, Jiaoyue Zhang, Wen Kong, et al.. (2025). Understanding the link between ALDH2 genotypes and diabetes. Frontiers in Endocrinology. 16. 1451722–1451722. 1 indexed citations
2.
Zhou, Shuyan, et al.. (2024). Targeting type I PRMTs as promising targets for the treatment of pulmonary disorders: Asthma, COPD, lung cancer, PF, and PH. Life Sciences. 342. 122538–122538. 3 indexed citations
3.
Chen, Xiong, Jinfu Qian, Shiqi Liang, et al.. (2024). Hyperglycemia activates FGFR1 via TLR4/c-Src pathway to induce inflammatory cardiomyopathy in diabetes. Acta Pharmaceutica Sinica B. 14(4). 1693–1710. 7 indexed citations
4.
Yang, Renhao, Hui Wu, Binghong Chen, et al.. (2021). Balloon Test Occlusion of Internal Carotid Artery in Recurrent Nasopharyngeal Carcinoma Before Endoscopic Nasopharyngectomy: A Single Center Experience. Frontiers in Oncology. 11. 674889–674889. 4 indexed citations
5.
Hu, Xiang, Lijuan Yang, Weihui Yu, et al.. (2020). <p>Association of Serum Fibroblast Growth Factor 23 Levels with the Presence and Severity of Hepatic Steatosis Is Independent of Sleep Duration in Patients with Diabetes</p>. Diabetes Metabolic Syndrome and Obesity. Volume 13. 1171–1178. 6 indexed citations
6.
Hu, Xiang, Qin Xiong, Yiting Xu, et al.. (2018). Contribution of maternal diabetes to visceral fat accumulation in offspring. Obesity Research & Clinical Practice. 12(5). 426–431. 2 indexed citations
7.
He, Xingxing, Xiang Hu, Xiaojing Ma, et al.. (2017). Elevated serum fibroblast growth factor 23 levels as an indicator of lower extremity atherosclerotic disease in Chinese patients with type 2 diabetes mellitus. Cardiovascular Diabetology. 16(1). 77–77. 23 indexed citations
8.
Botchlett, Rachel, Honggui Li, Xin Guo, et al.. (2016). Glucose and Palmitate Differentially Regulate PFKFB3/iPFK2 and Inflammatory Responses in Mouse Intestinal Epithelial Cells. Scientific Reports. 6(1). 28963–28963. 13 indexed citations
9.
Wen, Wei, Ge Liu, Ke Jin, & Xiang Hu. (2016). TGF-β1 induces PGP9.5 expression in CAFs to promote the growth of colorectal cancer cells. Oncology Reports. 37(1). 115–122. 8 indexed citations
10.
Wang, Lei, et al.. (2016). Arsenic trioxide inhibits lung metastasis of mouse colon cancer via reducing the infiltration of regulatory T cells. Tumor Biology. 37(11). 15165–15173. 22 indexed citations
11.
Hu, Xiang, Xiaojing Ma, Yuqi Luo, et al.. (2016). Associations of serum fibroblast growth factor 23 levels with obesity and visceral fat accumulation. Clinical Nutrition. 37(1). 223–228. 44 indexed citations
12.
Hu, Xiang, Xiaojing Ma, Xiaoping Pan, et al.. (2016). Association of androgen with gender difference in serum adipocyte fatty acid binding protein levels. Scientific Reports. 6(1). 27762–27762. 17 indexed citations
13.
Hu, Xiang, Xiaojing Ma, Xiaoping Pan, et al.. (2015). Fibroblast growth factor 23 is associated with the presence of coronary artery disease and the number of stenotic vessels. Clinical and Experimental Pharmacology and Physiology. 42(11). 1152–1157. 11 indexed citations
14.
Zheng, Juan, Shih-Lung Woo, Xiang Hu, et al.. (2015). Metformin and metabolic diseases: a focus on hepatic aspects. Frontiers of Medicine. 9(2). 173–186. 75 indexed citations
15.
Woo, Shih-Lung, Hang Xu, Honggui Li, et al.. (2014). Metformin Ameliorates Hepatic Steatosis and Inflammation without Altering Adipose Phenotype in Diet-Induced Obesity. PLoS ONE. 9(3). e91111–e91111. 160 indexed citations
16.
17.
Hu, Xiang & Qiang Zhao. (2011). Skeletonized Internal Thoracic Artery Harvest Improves Prognosis in High-Risk Population After Coronary Artery Bypass Surgery for Good Quality Grafts. The Annals of Thoracic Surgery. 92(1). 48–58. 29 indexed citations
18.
Hu, Xiang & Qiang Zhao. (2011). Autonomic dysregulation as a novel underlying cause of mitral valve prolapse: A hypothesis. Medical Science Monitor. 17(9). HY27–HY31. 5 indexed citations
19.
Hu, Xiang & Qiang Zhao. (2011). Systematic evaluation of the flexible and rigid annuloplasty ring after mitral valve repair for mitral regurgitation. European Journal of Cardio-Thoracic Surgery. 40(2). 480–7. 27 indexed citations
20.

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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