Jin-Shuen Chen

836 total citations
39 papers, 556 citations indexed

About

Jin-Shuen Chen is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Jin-Shuen Chen has authored 39 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Nephrology, 8 papers in Endocrinology, Diabetes and Metabolism and 7 papers in Molecular Biology. Recurrent topics in Jin-Shuen Chen's work include Chronic Kidney Disease and Diabetes (5 papers), Dialysis and Renal Disease Management (5 papers) and Renal Diseases and Glomerulopathies (4 papers). Jin-Shuen Chen is often cited by papers focused on Chronic Kidney Disease and Diabetes (5 papers), Dialysis and Renal Disease Management (5 papers) and Renal Diseases and Glomerulopathies (4 papers). Jin-Shuen Chen collaborates with scholars based in Taiwan, France and Japan. Jin-Shuen Chen's co-authors include Yuh‐Feng Lin, Chia‐Chao Wu, Shih‐Hua Lin, Pauling Chu, Chu‐Lin Chou, Te‐Chao Fang, Huey‐Kang Sytwu, Kuo‐Cheng Lu, Chung‐Ze Wu and Chun‐Chi Chen and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Jin-Shuen Chen

38 papers receiving 549 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jin-Shuen Chen Taiwan 14 177 120 84 83 74 39 556
Samsul Arefin Sweden 11 143 0.8× 128 1.1× 65 0.8× 35 0.4× 74 1.0× 23 524
Carla Ferri Spain 14 322 1.8× 166 1.4× 134 1.6× 101 1.2× 69 0.9× 33 691
Mizuko Osaka Japan 13 174 1.0× 214 1.8× 91 1.1× 168 2.0× 134 1.8× 23 688
Csaba Bereczki Hungary 17 202 1.1× 202 1.7× 77 0.9× 48 0.6× 186 2.5× 67 826
Hideyuki Kabasawa Japan 11 214 1.2× 176 1.5× 85 1.0× 42 0.5× 26 0.4× 34 553
Anne-Roos S. Frenay Netherlands 12 97 0.5× 125 1.0× 51 0.6× 32 0.4× 57 0.8× 22 538
Elettra Mancuso Italy 11 122 0.7× 213 1.8× 110 1.3× 120 1.4× 103 1.4× 25 678
Carolina Hernández-Carballo Spain 9 185 1.0× 97 0.8× 95 1.1× 30 0.4× 40 0.5× 17 415
José Carlos Oliveira Portugal 19 142 0.8× 100 0.8× 100 1.2× 90 1.1× 83 1.1× 65 866
Tuyet Thi Nguyen South Korea 13 179 1.0× 283 2.4× 57 0.7× 119 1.4× 44 0.6× 22 730

Countries citing papers authored by Jin-Shuen Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jin-Shuen Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin-Shuen Chen. 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 Jin-Shuen Chen. The network helps show where Jin-Shuen Chen may publish in the future.

Co-authorship network of co-authors of Jin-Shuen Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Jin-Shuen Chen. A scholar is included among the top collaborators of Jin-Shuen Chen 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 Jin-Shuen Chen. Jin-Shuen Chen 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.
Lu, Kuo‐Cheng, et al.. (2024). Therapeutic potential of Astragalus-based Eefooton in patients with chronic kidney disease: from clinical to bench study. International Journal of Medical Sciences. 22(1). 227–239.
2.
Huang, Chien‐Wei, et al.. (2024). The dual role of NSD2 in mitochondrial function: Insights into interstitial fibrosis and renal cancer. Pharmacological Research. 207. 107320–107320. 1 indexed citations
3.
Wu, Chung‐Ze, Nain‐Feng Chu, Chao‐Wen Cheng, et al.. (2021). The relationship of irisin with metabolic syndrome components and insulin secretion and resistance in schoolchildren. Medicine. 100(5). e24061–e24061. 3 indexed citations
4.
Lo, Wei-Cheng, et al.. (2021). Sugar- and artificially-sweetened beverages and the risks of chronic kidney disease: a systematic review and dose–response meta-analysis. Journal of Nephrology. 34(6). 1791–1804. 13 indexed citations
5.
Hsiao, Po-Jen, et al.. (2019). Investigation of the relationship between non-ketotic hyperglycemia and hemichorea-hemiballism. Medicine. 98(28). e16255–e16255. 6 indexed citations
6.
Chou, Chu‐Lin, Tsung‐Cheng Hsieh, Jin-Shuen Chen, & Te‐Chao Fang. (2018). Sudden Sensorineural Hearing Loss in Hemodialysis Patients Could be a Marker of Pathogenic Progression in the Mortality and Atherosclerotic Events: A National Cohort Study. Otology & Neurotology. 39(10). 1241–1249. 15 indexed citations
7.
Wu, Mei‐Yi, Tzu-Ting Chen, Yun‐Chun Wu, et al.. (2018). Effect of Statins on Renal Function in Chronic Kidney Disease Patients. Scientific Reports. 8(1). 16276–16276. 25 indexed citations
8.
Chou, Chu‐Lin, Ching-Hao Li, Heng Lin, et al.. (2018). Role of activating transcription factor 3 in fructose-induced metabolic syndrome in mice. Hypertension Research. 41(8). 589–597. 11 indexed citations
9.
10.
Huang, Ren‐Yeong, Yuh‐Feng Lin, Senyeong Kao, Yi‐Shing Shieh, & Jin-Shuen Chen. (2017). Dental restorative treatment expenditure and resource utilization in patients with chronic kidney disease: A nationwide population-based study. Journal of Dental Sciences. 12(3). 275–282. 8 indexed citations
11.
Chen, Jin-Shuen, Chung‐Ze Wu, Tzu-Ling Tseng, et al.. (2016). Significance of the urokinase-type plasminogen activator and its receptor in the progression of focal segmental glomerulosclerosis in clinical and mouse models. Journal of Biomedical Science. 23(1). 24–24. 16 indexed citations
12.
Hsiao, Po-Jen, Yuh‐Feng Lin, Chung‐Ze Wu, et al.. (2016). Impact of the use of anti-diabetic drugs on survival of diabetic dialysis patients: a 5-year retrospective cohort study in Taiwan. Clinical and Experimental Nephrology. 21(4). 694–704. 8 indexed citations
13.
Chen, Chien‐Wen, et al.. (2016). Circulating growth arrest-specific protein 6 levels are associated with erythropoietin resistance in hemodialysis patients. SpringerPlus. 5(1). 29–29. 3 indexed citations
14.
Li, Pengfei, et al.. (2016). Association of complete blood cell counts with metabolic syndrome in an elderly population. BMC Geriatrics. 16(1). 10–10. 13 indexed citations
15.
Wu, Chia‐Chao, Yen‐Sung Huang, Jin-Shuen Chen, et al.. (2015). Resveratrol Ameliorates Renal Damage, Increases Expression of Heme Oxygenase-1, and Has Anti-Complement, Anti-Oxidative, and Anti-Apoptotic Effects in a Murine Model of Membranous Nephropathy. PLoS ONE. 10(5). e0125726–e0125726. 42 indexed citations
16.
Hsiao, Po-Jen, et al.. (2015). Use of traditional Chinese medicine (Ren Shen Yang Rong Tang) against microinflammation in hemodialysis patients: An open-label trial. Complementary Therapies in Medicine. 23(3). 363–371. 14 indexed citations
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Lu, Kuo‐Cheng, Chia‐Chao Wu, Jin-Shuen Chen, et al.. (2006). Effects of Calcitriol on Type 5b Tartrate-Resistant Acid Phosphatase and Interleukin-6 in Secondary Hyperparathyroidism. Blood Purification. 24(5-6). 423–430. 15 indexed citations
20.
Chen, Jin-Shuen, Herng-Sheng Lee, Jong-Shiaw Jin, et al.. (2004). Attenuation of mouse mesangial cell contractility by high glucose and mannitol: Involvement of protein kinase C and focal adhesion kinase. Journal of Biomedical Science. 11(2). 142–151. 18 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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