Quan Hong

5.9k total citations
194 papers, 4.2k citations indexed

About

Quan Hong is a scholar working on Molecular Biology, Nephrology and Surgery. According to data from OpenAlex, Quan Hong has authored 194 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Molecular Biology, 51 papers in Nephrology and 27 papers in Surgery. Recurrent topics in Quan Hong's work include Chronic Kidney Disease and Diabetes (18 papers), Renal Diseases and Glomerulopathies (16 papers) and Renal and related cancers (15 papers). Quan Hong is often cited by papers focused on Chronic Kidney Disease and Diabetes (18 papers), Renal Diseases and Glomerulopathies (16 papers) and Renal and related cancers (15 papers). Quan Hong collaborates with scholars based in China, United States and France. Quan Hong's co-authors include Xiangmei Chen, Guangyan Cai, Shaoyuan Cui, Bo Fu, Di Wu, Zhe Feng, Xueyuan Bai, Xiaodong Geng, Xiangmei Chen and Suozhu Shi and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.

In The Last Decade

Quan Hong

186 papers receiving 4.2k citations

Peers

Quan Hong

NEPHR

EPIDE

SURGE

Rujun Gong United States

Maja T. Lindenmeyer Germany

Mary E. Choi United States

Farhad R. Danesh United States

Xiao‐Yan Wen Canada

Carmen Gómez‐Guerrero Spain

Kei Yamamoto Japan

Jeffrey L. Barnes United States

Taiji Matsusaka Japan

Kenichi Shikata Japan

Rujun Gong United States

Quan Hong

1.6k ×0.8

1.3k ×1.2

NEPHR

293 ×0.5

329 ×0.6

EPIDE

526 ×1.0

SURGE

Citations per year, relative to Quan Hong Quan Hong (= 1×) peers Rujun Gong

Countries citing papers authored by Quan Hong

Since Specialization

Citations

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

Fields of papers citing papers by Quan Hong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Quan Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Quan Hong. A scholar is included among the top collaborators of Quan Hong 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 Quan Hong. Quan Hong 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

Wu, Ji, et al.. (2025). Response Analysis of Microbial Community Structures and Functions Under Water and Sediment Changes in the Middle and Lower Yellow River. Diversity. 17(1). 41–41. 1 indexed citations

Hong, Quan, Zhong‐Xun Liu, Haifeng Liang, et al.. (2024). Inhibition of HOXD11 promotes cartilage degradation and induces osteoarthritis development. Journal of Orthopaedic Surgery and Research. 19(1). 111–111. 2 indexed citations

Hong, Quan, et al.. (2024). Activation of the C-Type Natriuretic Peptide Pathway Offers a Novel Therapeutic Target for Gestational Hypertension. Heart Lung and Circulation. 33. S454–S454. 1 indexed citations

Chen, Yulan, Xueyuan Bai, Jianwen Chen, et al.. (2023). Pyruvate kinase M2 regulates kidney fibrosis through pericyte glycolysis during the progression from acute kidney injury to chronic kidney disease. Cell Proliferation. 57(2). e13548–e13548. 22 indexed citations

Zhang, Yifan, Xiaodong Geng, Kun Chi, et al.. (2023). Optimization strategies of mesenchymal stem cell-based therapy for acute kidney injury. Stem Cell Research & Therapy. 14(1). 116–116. 13 indexed citations

Li, Xiaofan, Yiyao Deng, Jianwen Chen, et al.. (2023). The PI3K-Akt-mTOR pathway mediates renal pericyte-myofibroblast transition by enhancing glycolysis through HKII. Journal of Translational Medicine. 21(1). 323–323. 25 indexed citations

Zhang, Min, Siyang Wang, Quan Hong, et al.. (2023). Single-cell dissection of cellular and molecular features underlying mesenchymal stem cell therapy in ischemic acute kidney injury. Molecular Therapy. 31(10). 3067–3083. 22 indexed citations

Hong, Quan, Peng Yu, Kokouvi Kassegne, et al.. (2023). Polymorphism of Drug Resistance Genes dhfr and dhps in Plasmodium falciparum Isolates among Chinese Migrant Workers Who Returned from Ghana in 2013. Tropical Medicine and Infectious Disease. 8(11). 504–504. 1 indexed citations

Liu, Chao, Zhi Mao, Xiaoming Li, et al.. (2023). Bibliometric analysis of ferroptosis in acute kidney injury from 2014 to 2022. International Urology and Nephrology. 55(6). 1509–1521. 7 indexed citations

10.

Li, Huie, Qiqiang Guo, Lan Yang, Quan Hong, & Shuli Wang. (2022). Seasonal Eco-Physiology Characteristics of Four Evergreen Rhododendron Species to the Subalpine Habitats. Forests. 13(5). 653–653. 9 indexed citations

11.

Wu, Lingling, Li Ou, Xu Wang, et al.. (2021). Krϋppel‐like factor 15 suppresses renal glomerular mesangial cell proliferation via enhancing P53 SUMO1 conjugation. Journal of Cellular and Molecular Medicine. 25(12). 5691–5706. 8 indexed citations

12.

Hong, Quan, Shuqiang Wang, Shuxin Liu, Xiangmei Chen, & Guangyan Cai. (2020). LRG1 May Accelerate the Progression of ccRCC via the TGF‐β Pathway. BioMed Research International. 2020(1). 1285068–1285068. 18 indexed citations

13.

Wang, Shuqiang, Quan Hong, Xiaodong Geng, et al.. (2019). Insulin-Like Growth Factor Binding Protein 5—A Probable Target of Kidney Renal Papillary Renal Cell Carcinoma. BioMed Research International. 2019. 1–10. 11 indexed citations

14.

Geng, Xiaodong, Quan Hong, Kun Chi, et al.. (2019). Mesenchymal Stem Cells Loaded with Gelatin Microcryogels Attenuate Renal Fibrosis. BioMed Research International. 2019. 1–9. 11 indexed citations

15.

Wang, Shuqiang, Lu Yang, Quan Hong, et al.. (2017). Protein Array-Based Detection of Proteins in Kidney Tissues from Patients with Membranous Nephropathy. BioMed Research International. 2017. 1–9. 4 indexed citations

16.

Qian, Geng, Wenjun Hao, Xiaodong Geng, et al.. (2016). Cardiovascular metabolic risk factors and glomerular filtration rate: a rural Chinese population study. Lipids in Health and Disease. 15(1). 180–180. 7 indexed citations

17.

Lan, Xiaozhong, Quan Hong, Xinli Xia, & Weilun Yin. (2015). Establishment of hairy root cultures and analysis of rotenoid in Tibetan medicinal plant Mirabilis himalaica. Plant Omics. 8(4). 335–339. 1 indexed citations

18.

Qiu, Jie, et al.. (2011). Bladder anatomical changes and dose variation during the course of intensity-modulated radiation therapy of cervical cancer. Zhonghua fangshe zhongliuxue zazhi. 20(3). 218–221. 1 indexed citations

19.

Lan, Xiaozhong & Quan Hong. (2010). Hairy root culture of Przewalskia tangutica for enhanced production of pharmaceutical tropane alkaloids. Journal of Medicinal Plants Research. 4(14). 1477–1481. 19 indexed citations

20.

Chen, Xiangmei, Yumei Zhang, Yuansheng Xie, et al.. (2005). NANOG Changes in Mouse Kidneys with Age. Rejuvenation Research. 8(4). 248–253. 6 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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