Chunyan Su

2.0k total citations
52 papers, 725 citations indexed

About

Chunyan Su is a scholar working on Nephrology, Genetics and Molecular Biology. According to data from OpenAlex, Chunyan Su has authored 52 papers receiving a total of 725 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Nephrology, 13 papers in Genetics and 9 papers in Molecular Biology. Recurrent topics in Chunyan Su's work include Dialysis and Renal Disease Management (19 papers), Inflammatory Bowel Disease (13 papers) and Microscopic Colitis (6 papers). Chunyan Su is often cited by papers focused on Dialysis and Renal Disease Management (19 papers), Inflammatory Bowel Disease (13 papers) and Microscopic Colitis (6 papers). Chunyan Su collaborates with scholars based in China, United States and Canada. Chunyan Su's co-authors include Lee Anna Cunningham, Wen Tang, Xinhong Lu, Yike Li, Tao Wang, Judith Bernardini, Gillian Brunier, Rachael Walker, Ana Elizabeth Figueiredo and Valerie Price and has published in prestigious journals such as PLoS ONE, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Chunyan Su

51 papers receiving 707 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chunyan Su China 15 254 148 79 76 76 52 725
Rick Chin Canada 8 298 1.2× 356 2.4× 156 2.0× 21 0.3× 135 1.8× 13 771
Amit Sharma United States 17 64 0.3× 132 0.9× 36 0.5× 55 0.7× 89 1.2× 62 747
Fred Alexander United States 17 169 0.7× 162 1.1× 77 1.0× 10 0.1× 145 1.9× 47 880
K A Kirk United States 15 147 0.6× 264 1.8× 120 1.5× 11 0.1× 77 1.0× 23 886
Adel Boueiz United States 15 55 0.2× 233 1.6× 191 2.4× 18 0.2× 246 3.2× 32 918
Fernando Anaya Spain 13 84 0.3× 107 0.7× 221 2.8× 22 0.3× 56 0.7× 40 702
J. K. Dawborn Australia 17 154 0.6× 118 0.8× 52 0.7× 12 0.2× 149 2.0× 43 690
Mariadelina Simeoni Italy 16 192 0.8× 173 1.2× 156 2.0× 6 0.1× 117 1.5× 59 772
Amanda C. Raff United States 12 700 2.8× 573 3.9× 155 2.0× 7 0.1× 76 1.0× 25 1.5k
Ying Xing China 14 65 0.3× 91 0.6× 76 1.0× 30 0.4× 82 1.1× 46 472

Countries citing papers authored by Chunyan Su

Since Specialization
Citations

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

Fields of papers citing papers by Chunyan Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunyan Su

This figure shows the co-authorship network connecting the top 25 collaborators of Chunyan Su. A scholar is included among the top collaborators of Chunyan Su 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 Chunyan Su. Chunyan Su 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.
Su, Chunyan, et al.. (2024). YKL-40 (chitinase-3-like protein 1) serum levels are associated with abdominal aortic calcification in hemodialysis patients. International Urology and Nephrology. 56(8). 2695–2703. 1 indexed citations
2.
D’Haens, Geert, Marla C. Dubinsky, Laurent Peyrin‐Biroulet, et al.. (2023). P632 Etrasimod induction therapy in moderately to severely active Crohn’s disease: results from a phase 2, randomised, double-blind substudy. Journal of Crohn s and Colitis. 17(Supplement_1). i764–i765. 14 indexed citations
4.
Zeller, Matthias, Cuihua Wang, Edmund J. Keliher, et al.. (2023). Myeloperoxidase PET Imaging Tracks Intracellular and Extracellular Treatment Changes in Experimental Myocardial Infarction. International Journal of Molecular Sciences. 24(6). 5704–5704. 2 indexed citations
5.
Su, Chunyan, Tao Wang, Peiyu Wang, Xinhong Lu, & Wen Tang. (2022). The estimation of protein equivalents of total nitrogen in Chinese CAPD patients: an explanatory study. Figshare. 4 indexed citations
6.
Su, Chunyan, et al.. (2022). Machine learning to predict end stage kidney disease in chronic kidney disease. Scientific Reports. 12(1). 8377–8377. 84 indexed citations
7.
Lin, Keng, et al.. (2020). <p>Long Non-Coding RNA TTN-AS1 Serves as a Competing Endogenous RNA of miR-195 to Facilitate Clear Cell Renal Cell Carcinoma Progression</p>. Cancer Management and Research. Volume 12. 3091–3097. 9 indexed citations
8.
Flach, Rachel J. Roth, Chunyan Su, Christian Cortés‐Campos, et al.. (2019). Myeloperoxidase inhibition in mice alters atherosclerotic lesion composition. PLoS ONE. 14(3). e0214150–e0214150. 35 indexed citations
9.
Su, Chunyan, et al.. (2019). Cardiorenal syndrome in incident peritoneal dialysis patients: What is its effect on patients’ outcomes?. PLoS ONE. 14(6). e0218082–e0218082. 8 indexed citations
10.
Su, Chunyan, et al.. (2019). Loss of the Normal Gradient in Arterial Compliance and Outcomes of Chronic Kidney Disease Patients. Cardiorenal Medicine. 9(5). 297–307. 6 indexed citations
11.
Lichtenstein, Gary R., Gregory Moore, Kenneth Kwok, et al.. (2019). P479 Analysis of haematological changes in tofacitinib-treated patients with ulcerative colitis across Phase 3 induction and maintenance studies. Journal of Crohn s and Colitis. 13(Supplement_1). S351–S352. 4 indexed citations
12.
Sandborn, W., Julián Panés, G. D’Haens, et al.. (2019). A202 TOFACITINIB FOR THE TREATMENT OF ULCERATIVE COLITIS: UP TO 5.4 YEARS OF SAFETY DATA FROM GLOBAL CLINICAL TRIALS. Journal of the Canadian Association of Gastroenterology. 2(Supplement_2). 396–397. 1 indexed citations
13.
Zhu, Ning, et al.. (2016). What’s the Optimal Lipids Level for Dialysis Patients? A Cohort Study from a Chinese Dialysis Center in a University Hospital. PLoS ONE. 11(12). e0167258–e0167258. 6 indexed citations
14.
Zhang, Aihua, et al.. (2014). Outcomes of stage 1–5 chronic kidney disease in Mainland China. Renal Failure. 36(4). 520–525. 11 indexed citations
15.
Su, Chunyan, et al.. (2011). Gastrointestinal symptoms predict peritonitis rates in CAPD patients. Clinical Nephrology. 77(4). 267–274. 23 indexed citations
16.
Zhao, Yan, et al.. (2010). Evaluation and analysis of peritoneal dialysis patients' dialysate exchange procedures. Zhonghua xiandai huli zazhi. 16(17). 1993–1995. 1 indexed citations
17.
Lu, Xinhong, et al.. (2009). Implementing Continuous Quality Improvement Process in Potassium Management in Peritoneal Dialysis Patients. Journal of Renal Nutrition. 19(6). 469–474. 8 indexed citations
18.
Lippa, Blaise, Goss S. Kauffman, Joel T. Arcari, et al.. (2007). The discovery of highly selective erbB2 (Her2) inhibitors for the treatment of cancer. Bioorganic & Medicinal Chemistry Letters. 17(11). 3081–3086. 20 indexed citations
19.
Bhattacharya, Samit K., Eric Cox, John C. Kath, et al.. (2003). Achieving selectivity between highly homologous tyrosine kinases: a novel selective erbB2 inhibitor. Biochemical and Biophysical Research Communications. 307(2). 267–273. 16 indexed citations
20.
Saland, L.C., et al.. (2000). Glial cell line-derived neurotrophic factor in the rat pituitary gland. Brain Research Bulletin. 52(2). 109–113. 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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