Da Shang

512 total citations
19 papers, 294 citations indexed

About

Da Shang is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Da Shang has authored 19 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Nephrology, 4 papers in Cardiology and Cardiovascular Medicine and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Da Shang's work include Dialysis and Renal Disease Management (7 papers), Renal Diseases and Glomerulopathies (4 papers) and Parathyroid Disorders and Treatments (3 papers). Da Shang is often cited by papers focused on Dialysis and Renal Disease Management (7 papers), Renal Diseases and Glomerulopathies (4 papers) and Parathyroid Disorders and Treatments (3 papers). Da Shang collaborates with scholars based in China, United States and Canada. Da Shang's co-authors include Chuan‐Ming Hao, Qionghong Xie, Yunyu Xu, Yi Guan, Xinzhong Huang, Surong Wang, Tongying Zhu, Xiaolin Ge, Dingwei Kuang and Jing Tian and has published in prestigious journals such as Journal of the American Society of Nephrology, European Heart Journal and Frontiers in Immunology.

In The Last Decade

Da Shang

19 papers receiving 287 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Da Shang China 6 112 88 77 54 53 19 294
Yasuhiko Shimoyama Japan 7 100 0.9× 91 1.0× 87 1.1× 37 0.7× 21 0.4× 8 292
Dorota Polak‐Jonkisz Poland 10 69 0.6× 35 0.4× 65 0.8× 35 0.6× 18 0.3× 29 278
Deyu Xu China 8 83 0.7× 29 0.3× 168 2.2× 31 0.6× 13 0.2× 17 347
Sara A. Wennersten United States 9 69 0.6× 15 0.2× 196 2.5× 32 0.6× 10 0.2× 12 380
Ying‐Le Xu China 11 24 0.2× 32 0.4× 129 1.7× 35 0.6× 16 0.3× 15 426
Ze-Bei Zhang China 8 28 0.3× 26 0.3× 128 1.7× 90 1.7× 24 0.5× 11 399
Y. Oğuz Türkiye 9 113 1.0× 11 0.1× 58 0.8× 83 1.5× 9 0.2× 12 393
Kui Che China 11 85 0.8× 6 0.1× 91 1.2× 42 0.8× 6 0.1× 30 302
Jiqian Huang United States 10 48 0.4× 12 0.1× 234 3.0× 25 0.5× 16 0.3× 15 598

Countries citing papers authored by Da Shang

Since Specialization
Citations

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

Fields of papers citing papers by Da Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Da Shang

This figure shows the co-authorship network connecting the top 25 collaborators of Da Shang. A scholar is included among the top collaborators of Da 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 Da Shang. Da Shang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Shang, Da, et al.. (2024). Effectiveness and Safety of Spironolactone in the Treatment of IgA Nephropathy: A Retrospective Self-Controlled Study. Kidney & Blood Pressure Research. 49(1). 687–698. 2 indexed citations
2.
Sun, Ke, Yongli Wang, Da Shang, et al.. (2024). Collecting duct NCOR1 controls blood pressure by regulating mineralocorticoid receptor. Journal of Advanced Research. 68. 75–87. 1 indexed citations
3.
Xu, Yunyu, Yuan Li, Da Shang, et al.. (2024). Case report: BTK inhibitors is effective in type II mixed cryoglobulinemia with wild-type MyD88. Frontiers in Immunology. 15. 1390958–1390958. 1 indexed citations
4.
Wang, Yongli, Hong Zhu, Da Shang, et al.. (2024). Dendritic cell mineralocorticoid receptor controls blood pressure by regulating T helper 17 differentiation: role of the Plcβ1/4–Stat5–NF-κB pathway. European Heart Journal. 46(14). 1335–1351. 1 indexed citations
5.
Sun, Ke, Da Shang, Chuan‐Ming Hao, & Lingyun Lai. (2023). Renal outcomes in IgA nephropathy following inactivated SARS-CoV-2 vaccination. Clinical and Experimental Nephrology. 28(1). 23–30. 1 indexed citations
6.
Chen, Yun, Xiaolin Ge, Da Shang, et al.. (2023). Plasma fibrinogen: a driver of left ventricular remodeling in patients undergoing peritoneal dialysis and its related risk factors. Renal Failure. 45(2). 2255679–2255679. 1 indexed citations
7.
Xie, Qionghong, Mingyue Xu, Shaojun Liu, et al.. (2022). Matrix protein Tenascin-C promotes kidney fibrosis via STAT3 activation in response to tubular injury. Cell Death and Disease. 13(12). 1044–1044. 12 indexed citations
8.
Chen, Yun, Shuqi Dai, Xiaolin Ge, et al.. (2022). Prognostic values of left ventricular mass index progression in incident peritoneal dialysis patients : a prospective cohort study. BMC Nephrology. 23(1). 200–200. 6 indexed citations
9.
Chen, Yun, Chuan‐Ming Hao, Xiaolin Ge, et al.. (2022). Addition of roxadustat to erythropoiesis‐stimulating agent ( ESA ) effectively corrects ESA ‐hyporesponsive anaemia in patients on peritoneal dialysis. Journal of Clinical Pharmacy and Therapeutics. 47(10). 1525–1530. 4 indexed citations
10.
Chen, Yun, Da Shang, Xiaolin Ge, et al.. (2021). Effect of -55C/T Polymorphism of Uncoupling Protein 3 Gene on Risk for New-Onset Diabetes in Chinese Peritoneal Dialysis Patients: A Prospective Cohort Study. Blood Purification. 50(6). 857–864. 1 indexed citations
11.
Xu, Yunyu, Da Shang, Min Zhang, et al.. (2021). Elevated Serum Tenascin-C Predicts Mortality in Critically Ill Patients With Multiple Organ Dysfunction. Frontiers in Medicine. 8. 759273–759273. 5 indexed citations
12.
Xie, Qionghong, Da Shang, Yujia Wang, et al.. (2021). The Association between Baseline Serum Lipids and Mortality in Peritoneal Dialysis Patients. Blood Purification. 51(2). 101–110. 3 indexed citations
13.
Chen, Yun, Da Shang, Xiaolin Ge, et al.. (2020). Association of Ambulatory Blood Pressure with All-Cause Mortality and Cardiovascular Outcomes in Peritoneal Dialysis Patients. Kidney & Blood Pressure Research. 45(6). 890–899. 2 indexed citations
14.
15.
Lai, Lingyun, Te Liu, Da Shang, et al.. (2019). Abnormal glucose metabolism and galactose-deficient immunoglobulin A1 (IgA1) synthesis: a possible mechanism of IgA nephropathy.. PubMed. 28(151). 39–45. 2 indexed citations
16.
Guan, Yi, Surong Wang, Xinzhong Huang, et al.. (2017). Nicotinamide Mononucleotide, an NAD+ Precursor, Rescues Age-Associated Susceptibility to AKI in a Sirtuin 1–Dependent Manner. Journal of the American Society of Nephrology. 28(8). 2337–2352. 187 indexed citations
17.
Shang, Da, Qionghong Xie, Bin Shang, et al.. (2017). Hyperphosphatemia and hs-CRP Initiate the Coronary Artery Calcification in Peritoneal Dialysis Patients. BioMed Research International. 2017. 1–7. 10 indexed citations
18.
Shang, Da, Qionghong Xie, Xiaolin Ge, et al.. (2015). Hyperphosphatemia as an independent risk factor for coronary artery calcification progression in peritoneal dialysis patients. BMC Nephrology. 16(1). 107–107. 38 indexed citations
19.
Xie, Qionghong, Xiaolin Ge, Da Shang, et al.. (2015). Coronary Artery Calcification Score as a Predictor of All-Cause Mortality and Cardiovascular Outcome in Peritoneal Dialysis Patients. Peritoneal Dialysis International. 36(2). 163–170. 15 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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2026