Danyi Yang

1.1k citations
30 papers · 830 · h-index 15

Impact in

  • Nephrology top 2%
    • Renal Diseases and Glomerulopathies
    • Chronic Kidney Disease and Diabetes
    • Acute Kidney Injury Research
    • Advanced Glycation End Products research

Papers in

Danyi Yang

28 papers receiving 822 citations

Peers

Danyi Yang
Comparison fields: 5 of 92
  • Nephrology 316
  • Clinical Biochemistry 61
  • Cancer Research 85
  • Epidemiology 139
  • Pathology and Forensic Medicine 66
Replace Wei Dong with:
Wei Dong China
L. Jay Stallons United States
Dhanunjay Mukhi United States
Zhixia Song China
Yoshiko Shimamura Japan
Jijia Hu China
Yinyin Chen China
Laura Martínez‐Arias Spain
Sayaka Arakawa Japan
Danyi Yang relative to Wei Dong China Wei Dong's profile →
Citations per field
00.5×1.5×1.8×
Wei Dong · 1×
Citations per year

Countries citing papers authored by Danyi Yang

Since Specialization
Citations

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

Fields of papers citing papers by Danyi Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Danyi Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Danyi Yang Line = papers co-authored together Danyi Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017206
2 202097
3 202368
4 202066
5 202044
6 201241
7 201640
8 202135
9 202129
10 201727
11 202327
12 202125
13 202021
14 202419
15 201218
16 202513
17 202012
18 202211
19 20237
20 20206

About Danyi Yang

Danyi Yang is a scholar working on Nephrology, Clinical Biochemistry, Epidemiology, Civil and Structural Engineering and Neurology, having authored 30 papers that have together received 830 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (10 papers), Acute Kidney Injury Research (3 papers), Chronic Kidney Disease and Diabetes (2 papers), Sepsis Diagnosis and Treatment (2 papers), Structural Engineering and Vibration Analysis (2 papers), Structural Health Monitoring Techniques (2 papers), Autophagy in Disease and Therapy (2 papers) and Cannabis and Cannabinoid Research (1 paper). The work is most often cited by research in Nephrology (316 citations), Clinical Biochemistry (61 citations), Cancer Research (85 citations), Epidemiology (139 citations) and Pathology and Forensic Medicine (66 citations). Danyi Yang has collaborated with scholars based in China, United States and Pakistan. Frequent co-authors include Zheng Dong, Zhiwen Liu, Jian‐Kang Chen, Ming Zhang, Man Jiang Livingston, Guie Dong, Chengyuan Tang, Liyu He, Zhiwen Liu and Juan Cai. Their work appears in journals such as Theranostics, American Journal of Nephrology, Experimental Cell Research, Frontiers in Cell and Developmental Biology and Journal of Nephrology.

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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