Jin Shang

1.4k total citations
56 papers, 999 citations indexed

About

Jin Shang is a scholar working on Nephrology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jin Shang has authored 56 papers receiving a total of 999 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Nephrology, 27 papers in Molecular Biology and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jin Shang's work include Renal Diseases and Glomerulopathies (16 papers), Gut microbiota and health (13 papers) and Chronic Kidney Disease and Diabetes (11 papers). Jin Shang is often cited by papers focused on Renal Diseases and Glomerulopathies (16 papers), Gut microbiota and health (13 papers) and Chronic Kidney Disease and Diabetes (11 papers). Jin Shang collaborates with scholars based in China, United Kingdom and Australia. Jin Shang's co-authors include Zhanzheng Zhao, Jing Xiao, Jing Xiao, Yiding Zhang, Dahai Yu, Ruixue Guo, Yan Zhang, Ziying Wang, Fan Yi and Genyang Cheng and has published in prestigious journals such as Nature Communications, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Jin Shang

54 papers receiving 981 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 Shang China 20 480 317 143 128 116 56 999
Bi Cheng Liu China 16 386 0.8× 243 0.8× 130 0.9× 100 0.8× 112 1.0× 29 871
Chunling Huang China 21 565 1.2× 200 0.6× 91 0.6× 132 1.0× 90 0.8× 56 1.1k
Qiuling Fan China 21 622 1.3× 376 1.2× 142 1.0× 177 1.4× 99 0.9× 70 1.3k
Jen‐Pi Tsai Taiwan 19 383 0.8× 169 0.5× 140 1.0× 93 0.7× 138 1.2× 101 1.1k
Zhonggao Xu China 17 312 0.7× 190 0.6× 204 1.4× 116 0.9× 88 0.8× 48 1.0k
Tangli Xiao China 15 378 0.8× 534 1.7× 78 0.5× 73 0.6× 131 1.1× 29 1.1k
Akira Mima Japan 12 310 0.6× 235 0.7× 105 0.7× 153 1.2× 90 0.8× 19 903
Jianying Niu China 18 215 0.4× 268 0.8× 104 0.7× 94 0.7× 80 0.7× 54 907
Shinobu Miyazaki‐Anzai United States 19 442 0.9× 277 0.9× 162 1.1× 133 1.0× 134 1.2× 30 1.3k
Seon Ho Ahn South Korea 7 546 1.1× 446 1.4× 69 0.5× 121 0.9× 156 1.3× 11 1.2k

Countries citing papers authored by Jin Shang

Since Specialization
Citations

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

Fields of papers citing papers by Jin Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Shang

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Shang. A scholar is included among the top collaborators of Jin Shang 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 Shang. Jin Shang 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.
2.
Li, Q, Jin Shang, & Reiko Inagi. (2024). Control of Mitochondrial Quality: A Promising Target for Diabetic Kidney Disease Treatment. Kidney International Reports. 10(4). 994–1010. 4 indexed citations
3.
Yang, Yujie, Fan Yang, Xiaohan Liu, et al.. (2023). HDAC9-mediated epithelial cell cycle arrest in G2/M contributes to kidney fibrosis in male mice. Nature Communications. 14(1). 3007–3007. 50 indexed citations
4.
5.
Zhou, Yukun, Yiding Zhang, Jiaojiao Chen, et al.. (2023). Diagnostic value of α1-MG and URBP in early diabetic renal impairment. Frontiers in Physiology. 14. 1173982–1173982. 6 indexed citations
6.
Yan, Liping, Yu Xiong, Jin Shang, et al.. (2022). Wild and Captive Environments Drive the Convergence of Gut Microbiota and Impact Health in Threatened Equids. Frontiers in Microbiology. 13. 832410–832410. 9 indexed citations
7.
Wang, Peipei, Ruixue Guo, Xiwen Bai, et al.. (2022). Sacubitril/Valsartan contributes to improving the diabetic kidney disease and regulating the gut microbiota in mice. Frontiers in Endocrinology. 13. 1034818–1034818. 16 indexed citations
8.
Shi, Jing, et al.. (2022). Gut microbiota profiling revealed the regulating effects of salidroside on iron metabolism in diabetic mice. Frontiers in Endocrinology. 13. 1014577–1014577. 26 indexed citations
9.
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Zhao, Xue, Yiding Zhang, Ruixue Guo, et al.. (2020). The Alteration in Composition and Function of Gut Microbiome in Patients with Type 2 Diabetes. Journal of Diabetes Research. 2020. 1–13. 44 indexed citations
11.
Shang, Jin, Zhigang Ren, Ang Li, et al.. (2020). Predictive Power of Gut Microbiome in the Clinical or Pathological Diagnosis of Diabetic Kidney Disease. SSRN Electronic Journal. 2 indexed citations
12.
Yu, Dahai, Yamei Cai, Jin Shang, et al.. (2019). Triglyceride Glucose Index Predicting Cardiovascular Mortality in Chinese Initiating Peritoneal Dialysis: A Cohort Study. Kidney & Blood Pressure Research. 44(4). 669–678. 20 indexed citations
13.
Shang, Jin, Dahai Yu, Yamei Cai, et al.. (2019). The triglyceride glucose index can predict newly diagnosed biopsy-proven diabetic nephropathy in type 2 diabetes. Medicine. 98(46). e17995–e17995. 30 indexed citations
14.
Zhao, Bing, Hui Han, Junhui Zhen, et al.. (2018). CD80 and CTLA-4 as diagnostic and prognostic markers in adult-onset minimal change disease: a retrospective study. PeerJ. 6. e5400–e5400. 9 indexed citations
15.
Zhang, Xiaoxue, Dahai Yu, Yamei Cai, et al.. (2018). Derivation and Validation of Risk Scores to Predict Cerebrovascular Mortality Among Incident Peritoneal Dialysis Patients. Kidney & Blood Pressure Research. 43(4). 1141–1148. 4 indexed citations
16.
Shang, Jin, Ying Chen, Dahai Yu, et al.. (2018). miR‐15a‐5p suppresses inflammation and fibrosis of peritoneal mesothelial cells induced by peritoneal dialysis via targeting VEGFA. Journal of Cellular Physiology. 234(6). 9746–9755. 57 indexed citations
17.
Hu, Xinchao, Jin Shang, Bing Zhao, et al.. (2017). Effects of paricalcitol on cardiovascular outcomes and renal function in patients with chronic kidney disease. Herz. 43(6). 518–528. 16 indexed citations
18.
Shang, Jin & Zhanzheng Zhao. (2017). Emerging role of HuR in inflammatory response in kidney diseases. Acta Biochimica et Biophysica Sinica. 49(9). 753–763. 31 indexed citations
19.
20.
Jiang, Guoqin, et al.. (2014). Ligustrazine induces apoptosis of breast cancer cells in vitro and in vivo. Journal of Cancer Research and Therapeutics. 11(2). 454–454. 19 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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