Dan Chang

520 total citations
10 papers, 394 citations indexed

About

Dan Chang is a scholar working on Nephrology, Immunology and Pathology and Forensic Medicine. According to data from OpenAlex, Dan Chang has authored 10 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Nephrology, 5 papers in Immunology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Dan Chang's work include Renal Diseases and Glomerulopathies (4 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers) and Autoimmune Bullous Skin Diseases (2 papers). Dan Chang is often cited by papers focused on Renal Diseases and Glomerulopathies (4 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers) and Autoimmune Bullous Skin Diseases (2 papers). Dan Chang collaborates with scholars based in China, Brazil and Australia. Dan Chang's co-authors include Stephen I. Alexander, Jana Coombs, Guoping Zheng, Linqi Ouyang, David C.H. Harris, Deepika Mahajan, Vincent Lee, Yichun Cheng, Ran Luo and Gang Xu and has published in prestigious journals such as International Journal of Molecular Sciences, Kidney International and Theranostics.

In The Last Decade

Dan Chang

10 papers receiving 385 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dan Chang China 6 213 139 74 61 46 10 394
Helga Smit France 8 313 1.5× 176 1.3× 95 1.3× 78 1.3× 51 1.1× 11 548
Hiroya Hasegawa Japan 9 98 0.5× 147 1.1× 117 1.6× 82 1.3× 36 0.8× 30 383
Regina Gröbmayr Germany 6 210 1.0× 172 1.2× 166 2.2× 46 0.8× 21 0.5× 7 453
Óscar Toldos Spain 10 51 0.2× 115 0.8× 81 1.1× 69 1.1× 46 1.0× 20 347
Akihiro Sagara Japan 11 81 0.4× 65 0.5× 97 1.3× 58 1.0× 18 0.4× 21 322
Christina V Jones Australia 5 168 0.8× 68 0.5× 212 2.9× 107 1.8× 30 0.7× 7 478
Jin‐Shuen Chen Taiwan 8 130 0.6× 89 0.6× 92 1.2× 62 1.0× 136 3.0× 41 432
Sharmal Narayan Switzerland 9 229 1.1× 108 0.8× 229 3.1× 56 0.9× 30 0.7× 10 464
Ritsuo Watanabe Japan 9 122 0.6× 41 0.3× 89 1.2× 35 0.6× 47 1.0× 10 349

Countries citing papers authored by Dan Chang

Since Specialization
Citations

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

Fields of papers citing papers by Dan Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Chang

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

All Works

10 of 10 papers shown
1.
Luo, Ran, et al.. (2023). T Follicular Helper Cells in Tertiary Lymphoid Structure Contribute to Renal Fibrosis by IL-21. International Journal of Molecular Sciences. 24(16). 12535–12535. 9 indexed citations
2.
Cheng, Yichun, Ran Luo, Dan Chang, et al.. (2021). Low-Carbohydrate-Diet Score and Mortality in Adults With and Without Chronic Kidney Disease: Results From the Third National Health and Nutrition Examination Survey. Journal of Renal Nutrition. 32(3). 301–311. 5 indexed citations
3.
Liu, Tingting, Ran Luo, Yi Yang, et al.. (2021). LRG1 Mitigates Renal Interstitial Fibrosis through Alleviating Capillary Rarefaction and Inhibiting Inflammatory and Pro-Fibrotic Cytokines. American Journal of Nephrology. 52(3). 228–238. 23 indexed citations
4.
Chang, Dan, et al.. (2021). Efficacy and safety of rituximab for childhood refractory nephrotic syndrome: A meta-analysis of randomized controlled trials. Medicina Clínica (English Edition). 157(9). 418–426. 1 indexed citations
5.
Luo, Ran, Yi Yang, Yichun Cheng, et al.. (2020). Plasma chemokine CXC motif-ligand 16 as a predictor of renal prognosis in immunoglobulin A nephropathy. Annals of Translational Medicine. 8(6). 381–381. 5 indexed citations
6.
Chang, Dan, Yichun Cheng, Ran Luo, et al.. (2020). The prognostic value of platelet-to-lymphocyte ratio on the long-term renal survival in patients with IgA nephropathy. International Urology and Nephrology. 53(3). 523–530. 11 indexed citations
7.
Luo, Ran, Yichun Cheng, Dan Chang, et al.. (2020). Tertiary lymphoid organs are associated with the progression of kidney damage and regulated by interleukin-17A. Theranostics. 11(1). 117–131. 29 indexed citations
8.
Chang, Dan, et al.. (2020). Efficacy and safety of rituximab for childhood refractory nephrotic syndrome: A meta-analysis of randomized controlled trials. Medicina Clínica. 157(9). 418–426. 4 indexed citations
9.
Chang, Dan, et al.. (2010). Maximizing the value of a breast center. The Breast. 19(4). 253–259. 4 indexed citations
10.
Zheng, Guoping, Vincent Lee, Linqi Ouyang, et al.. (2007). Ex vivo programmed macrophages ameliorate experimental chronic inflammatory renal disease. Kidney International. 72(3). 290–299. 303 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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