Qiongqiong Yang

1.2k total citations
51 papers, 643 citations indexed

About

Qiongqiong Yang is a scholar working on Nephrology, Pathology and Forensic Medicine and Immunology. According to data from OpenAlex, Qiongqiong Yang has authored 51 papers receiving a total of 643 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Nephrology, 11 papers in Pathology and Forensic Medicine and 9 papers in Immunology. Recurrent topics in Qiongqiong Yang's work include Renal Diseases and Glomerulopathies (24 papers), Chronic Kidney Disease and Diabetes (12 papers) and Autoimmune Bullous Skin Diseases (7 papers). Qiongqiong Yang is often cited by papers focused on Renal Diseases and Glomerulopathies (24 papers), Chronic Kidney Disease and Diabetes (12 papers) and Autoimmune Bullous Skin Diseases (7 papers). Qiongqiong Yang collaborates with scholars based in China, United States and France. Qiongqiong Yang's co-authors include Xueqing Yu, Haiping Mao, Qian Zhou, Xiaona Wei, Wei Chen, Fengxian Huang, Jian Wu, Qianqian Han, Qinghua Liu and Jing Nie and has published in prestigious journals such as Scientific Reports, Small and Journal of the American Society of Nephrology.

In The Last Decade

Qiongqiong Yang

47 papers receiving 631 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qiongqiong Yang China 16 341 146 84 74 74 51 643
Xianglei Kong China 15 361 1.1× 147 1.0× 142 1.7× 96 1.3× 34 0.5× 53 852
Huili Dai China 20 477 1.4× 310 2.1× 74 0.9× 38 0.5× 35 0.5× 46 1.1k
Machiko Oka Japan 18 381 1.1× 102 0.7× 166 2.0× 34 0.5× 37 0.5× 58 903
Rosamund Wilson United Kingdom 16 128 0.4× 226 1.5× 101 1.2× 53 0.7× 121 1.6× 31 976
Zhi-Yu Duan China 13 198 0.6× 138 0.9× 60 0.7× 112 1.5× 49 0.7× 32 486
Hao Yan China 16 301 0.9× 89 0.6× 66 0.8× 17 0.2× 45 0.6× 77 729
Rolf Dario Frank Germany 16 202 0.6× 107 0.7× 84 1.0× 19 0.3× 126 1.7× 29 936
Shigeo Negi Japan 17 630 1.8× 171 1.2× 89 1.1× 182 2.5× 20 0.3× 55 858
Mariana Gaya da Costa Netherlands 10 185 0.5× 49 0.3× 53 0.6× 16 0.2× 219 3.0× 23 565
F Gejyo Japan 9 266 0.8× 599 4.1× 39 0.5× 27 0.4× 14 0.2× 14 983

Countries citing papers authored by Qiongqiong Yang

Since Specialization
Citations

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

Fields of papers citing papers by Qiongqiong Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiongqiong Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Qiongqiong Yang. A scholar is included among the top collaborators of Qiongqiong Yang 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 Qiongqiong Yang. Qiongqiong Yang 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.
Han, Qianqian, Rui Zhang, Jian Wu, et al.. (2024). Cross-sectional relationship between dietary protein intake, energy intake and protein energy wasting in chronic kidney disease patients. British Journal Of Nutrition. 132(3). 309–314.
3.
Zhou, Chenfen, Na Jiao, Xinling Liang, et al.. (2023). Systematic Microbiome Dysbiosis Is Associated with IgA Nephropathy. Microbiology Spectrum. 11(3). e0520222–e0520222. 7 indexed citations
4.
Han, Qianqian, et al.. (2023). The ratio of neutrophil to lymphocyte as a potential marker of clinicopathological activity for lupus nephritis. International Urology and Nephrology. 56(2). 675–682. 10 indexed citations
5.
Li, Jiajia, Jianping Wu, Rui Zhang, et al.. (2023). Association between geriatric nutritional risk index and pathological phenotypes of IgA nephropathy. PeerJ. 11. e14791–e14791. 1 indexed citations
6.
Tang, Xueqing, et al.. (2022). Prognostic significance of the extent of tubulointerstitial lesions in patients with IgA nephropathy. International Urology and Nephrology. 55(3). 671–677. 4 indexed citations
7.
Ni, Zhaohui, Haijiao Jin, Renhua Lu, et al.. (2021). Hyperkalaemia prevalence, recurrence and treatment in patients on haemodialysis in China: protocol for a prospective multicentre cohort study (PRECEDE-K). BMJ Open. 11(12). e055770–e055770. 3 indexed citations
8.
Zeng, Honghui, Le Wang, Jiajia Li, et al.. (2021). Single-cell RNA-sequencing reveals distinct immune cell subsets and signaling pathways in IgA nephropathy. Cell & Bioscience. 11(1). 203–203. 28 indexed citations
9.
Zhou, Qian, et al.. (2020). Long-term renal outcomes of IgA nephropathy presenting with different levels of proteinuria. Clinical Nephrology. 94(6). 290–296. 3 indexed citations
10.
Ye, Hongjian, Xiao Yang, Chunyan Yi, et al.. (2019). Urgent-start peritoneal dialysis for patients with end stage renal disease: a 10-year retrospective study. BMC Nephrology. 20(1). 238–238. 37 indexed citations
11.
Deng, Wei, Xiaojun Tan, Qian Zhou, et al.. (2018). Gender-related differences in clinicopathological characteristics and renal outcomes of Chinese patients with IgA nephropathy. BMC Nephrology. 19(1). 31–31. 31 indexed citations
12.
13.
Wen, Qiong, Rong Rong, Fengxian Huang, et al.. (2016). Vitamin D-Binding Protein Is a Potential Urinary Biomarker of Irbesartan Treatment Response in Patients with IgA Nephropathy. Genetic Testing and Molecular Biomarkers. 20(11). 666–673. 7 indexed citations
14.
Yuan, Min, Lingyao Hong, Qian Zhou, et al.. (2016). Clinical outcomes of lupus nephritis patients with different proportions of crescents. Lupus. 25(14). 1532–1541. 15 indexed citations
15.
Liu, Yun, et al.. (2016). Interaction between V-ATPase B2 and (Pro) renin Receptors in Promoting the progression of Renal Tubulointerstitial Fibrosis. Scientific Reports. 6(1). 25035–25035. 12 indexed citations
16.
Zhang, Wang, Qian Zhou, Lingyao Hong, et al.. (2015). Clinical Outcomes of IgA Nephropathy Patients with Different Proportions of Crescents. Hong Kong Journal of Nephrology. 17(2). S35–S35. 4 indexed citations
17.
Chen, Wenfang, Zhibin Li, Xueqing Tang, et al.. (2015). Role of immunosuppressive therapy and predictors of therapeutic effectiveness and renal outcome in IgA nephropathy with proteinuria. Archives of Medical Science. 2(2). 332–339. 2 indexed citations
18.
Tang, Yufang, Hao Chen, Chao Weng, et al.. (2014). The catalytic kinetic method for the determination of trace formaldehyde (FA) base on a bromate–eosin Y system. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 125. 126–130. 4 indexed citations
19.
Qin, Jing, Qiongqiong Yang, Xueqing Tang, et al.. (2012). Clinicopathologic features and treatment response in nephrotic IgA nephropathy with minimal change disease. Clinical Nephrology. 79(1). 37–44. 18 indexed citations
20.
Yang, Qiongqiong, et al.. (2009). Influence of dialysis modality on renal transplant complications and outcomes. Clinical Nephrology. 72(7). 62–68. 17 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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