Kun Chi

601 total citations
30 papers, 372 citations indexed

About

Kun Chi is a scholar working on Molecular Biology, Nephrology and Surgery. According to data from OpenAlex, Kun Chi has authored 30 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Nephrology and 8 papers in Surgery. Recurrent topics in Kun Chi's work include Dialysis and Renal Disease Management (7 papers), Muscle and Compartmental Disorders (5 papers) and Erythropoietin and Anemia Treatment (3 papers). Kun Chi is often cited by papers focused on Dialysis and Renal Disease Management (7 papers), Muscle and Compartmental Disorders (5 papers) and Erythropoietin and Anemia Treatment (3 papers). Kun Chi collaborates with scholars based in China and United States. Kun Chi's co-authors include Quan Hong, Xiaodong Geng, Guangyan Cai, Chao Liu, Shuqiang Wang, Xiangmei Chen, Chengcheng Song, Di Wu, Chao Liu and Zhi Mao and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Medicine & Science in Sports & Exercise and Frontiers in Immunology.

In The Last Decade

Kun Chi

29 papers receiving 369 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kun Chi China 12 172 82 70 65 49 30 372
Huang-Joe Wang Taiwan 11 134 0.8× 85 1.0× 96 1.4× 105 1.6× 72 1.5× 21 454
Katsunori Yanai Japan 11 109 0.6× 113 1.4× 59 0.8× 63 1.0× 33 0.7× 45 325
Toshimi Imai Japan 9 134 0.8× 76 0.9× 113 1.6× 55 0.8× 70 1.4× 30 340
Akinori Aomatsu Japan 11 104 0.6× 89 1.1× 65 0.9× 63 1.0× 34 0.7× 40 310
Meryl C. Nath United States 10 95 0.6× 50 0.6× 66 0.9× 23 0.4× 44 0.9× 13 440
Melissa Major United States 8 126 0.7× 124 1.5× 67 1.0× 65 1.0× 16 0.3× 10 332
Shehnaz Khan United States 11 128 0.7× 127 1.5× 54 0.8× 23 0.4× 131 2.7× 30 439
Qingwen Wang China 13 125 0.7× 363 4.4× 85 1.2× 48 0.7× 113 2.3× 28 622

Countries citing papers authored by Kun Chi

Since Specialization
Citations

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

Fields of papers citing papers by Kun Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Chi

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Chi. A scholar is included among the top collaborators of Kun Chi 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 Kun Chi. Kun Chi 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.
Wang, Shuqiang, Kun Chi, Xueguang Zhang, et al.. (2025). IGFBP-5/TGF-β1 mediated crosstalk between endothelial and tubular epithelial cells promotes interstitial fibrosis. Nephrology Dialysis Transplantation. 41(3). 531–544.
3.
Zhang, Yongyi, Dan Yi, Quan Hong, et al.. (2024). Platelet-rich plasma-derived exosomes enhance mesenchymal stem cell paracrine function and nerve regeneration potential. Biochemical and Biophysical Research Communications. 699. 149496–149496. 10 indexed citations
4.
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
5.
Liu, Xiaoli, Mei Hu, Zhi Mao, et al.. (2023). A Simple Nomogram for Predicting Hospital Mortality of Patients Over 80 Years in ICU: An International Multicenter Retrospective Study. The Journals of Gerontology Series A. 78(7). 1227–1233. 2 indexed citations
6.
Chi, Kun, et al.. (2023). Malnutrition in patients with head and neck cancer undergoing radiotherapy: A cross-sectional study. European Journal of Oncology Nursing. 66. 102387–102387. 5 indexed citations
7.
Song, Chengcheng, et al.. (2023). Knowledge mapping of UMOD of English published work from 1985 to 2022: a bibliometric analysis. International Urology and Nephrology. 56(1). 249–261. 3 indexed citations
8.
Song, Chengcheng, Shuqiang Wang, Kun Chi, et al.. (2022). IGFBP5 promotes diabetic kidney disease progression by enhancing PFKFB3-mediated endothelial glycolysis. Cell Death and Disease. 13(4). 340–340. 55 indexed citations
9.
Geng, Xiaodong, Kun Chi, Chengcheng Song, et al.. (2022). Efficacy and Safety of Daprodustat Vs rhEPO for Anemia in Patients With Chronic Kidney Disease: A Meta-Analysis and Trial Sequential Analysis. Frontiers in Pharmacology. 13. 746265–746265. 11 indexed citations
10.
Liu, Chao, Kun Chi, Xiaodong Geng, et al.. (2021). Exogenous Biological Renal Support Improves Kidney Function in Mice With Rhabdomyolysis-Induced Acute Kidney Injury. Frontiers in Medicine. 8. 655787–655787. 4 indexed citations
11.
Liu, Chao, Jiawei Jiang, Kun Chi, et al.. (2021). Safety and Efficacy of Roxadustat for Anemia in Patients With Chronic Kidney Disease: A Meta-Analysis and Trial Sequential Analysis. Frontiers in Medicine. 8. 724456–724456. 8 indexed citations
12.
Geng, Xiaodong, Kun Chi, Chengcheng Song, et al.. (2021). Efficacy and safety of finerenone in patients with chronic kidney disease: a systematic review with meta-analysis and trial sequential analysis. Annals of Palliative Medicine. 10(7). 7428–7439. 17 indexed citations
14.
Wang, Shuqiang, et al.. (2021). Insulin-Like Growth Factor Binding Proteins in Kidney Disease. Frontiers in Pharmacology. 12. 807119–807119. 30 indexed citations
15.
Liu, Chao, Zhi Mao, Pan Hu, et al.. (2021). Development and validation of a model for the early prediction of the RRT requirement in patients with rhabdomyolysis. The American Journal of Emergency Medicine. 46. 38–44. 9 indexed citations
16.
Liu, Chao, Zhi Mao, Pan Hu, et al.. (2020). The top 100 most cited articles on rhabdomyolysis: A bibliometric analysis. The American Journal of Emergency Medicine. 38(9). 1754–1759. 9 indexed citations
17.
Chen, Lei, et al.. (2020). <p>Circ_0032821 Facilitates Gastric Cancer Cell Proliferation, Migration, Invasion and Glycolysis by Regulating MiR-1236-3p/HMGB1 Axis</p>. Cancer Management and Research. Volume 12. 9965–9976. 13 indexed citations
18.
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
19.
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
20.
Chi, Kun, Yeling Lu, Qiulan Ding, et al.. (2014). Identification and characterisation of a novel aberrant pattern of intron 1 inversion with concomitant large insertion and deletion within the F8 gene. Thrombosis and Haemostasis. 112(8). 264–270. 9 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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