Ye Yang

494 citations
35 papers · 372 · h-index 12

Impact in

Papers in

Ye Yang

30 papers receiving 369 citations

Peers

Ye Yang
Comparison fields: 5 of 79
  • Cancer Research 47
  • Pathology and Forensic Medicine 51
  • Animal Science and Zoology 25
  • Nephrology 14
  • Molecular Biology 133
Replace Qiong Yang with:
Qiong Yang China
Jiang‐Hua Shang China
Rou Zhou China
Shumin Zhang China
Wenwen Cui China
Xiaoxue Qiu United States
Tadeusz Kroczak Canada
Peng Jiao China
Samira Asghari Iran
Dongsheng Wang China
Ye Yang relative to Qiong Yang China Qiong Yang's profile →
Citations per field
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Qiong Yang · 1×
Citations per year

Countries citing papers authored by Ye Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ye Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ye 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 Ye Yang Line = papers co-authored together Ye Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202456
2 201543
3 201435
4 201424
5
Effects of vitamin D on renal fibrosis in diabetic nephropathy model rats.
201421
6 201819
7 201617
8 202116
9 201216
10
Protective effects of calcitriol on diabetic nephropathy are mediated by down regulation of TGF-β1 and CIP4 in diabetic nephropathy rat.
201516
11 201814
12 201912
13 202110
14 20139
15 20158
16 20098
17
Microbial activity related to N cycling in the rhizosphere of maize stressed by heavy metals.
20058
18 20247
19 20226
20 20256

About Ye Yang

Ye Yang is a scholar working on Molecular Biology, Biomedical Engineering, Surgery, Pathology and Forensic Medicine and Pollution, having authored 35 papers that have together received 372 indexed citations. Recurring topics across this work include Vitamin D Research Studies (3 papers), Helicobacter pylori-related gastroenterology studies (2 papers), Biosensors and Analytical Detection (2 papers), Microbial Fuel Cells and Bioremediation (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Cancer-related molecular mechanisms research (2 papers) and Meat and Animal Product Quality (2 papers). The work is most often cited by research in Cancer Research (47 citations), Pathology and Forensic Medicine (51 citations), Animal Science and Zoology (25 citations), Nephrology (14 citations) and Molecular Biology (133 citations). Ye Yang has collaborated with scholars based in China, New Zealand and United States. Frequent co-authors include Jun Zhu, Guodong Lv, Rui Yu, Yuanyuan Zhang, Ping Yu, Juan Li, Bin Liu, Lin Chen, Jie Wen and Yongtao Wang. Their work appears in journals such as Animals, International Journal of Biological Macromolecules, Lipids in Health and Disease, BMC Women s Health and Frontiers in Immunology.

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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