Ze Yang

3.8k citations
152 papers · 3k · h-index 28

Impact in

  • Aging top 1%
    • Genetics, Aging, and Longevity in Model Organisms
  • Physiology top 5%
    • Alzheimer's disease research and treatments

Papers in

    • Genetic Associations and Epidemiology 41
    • Diabetes and associated disorders 7
    • Alzheimer's disease research and treatments 24

Ze Yang

150 papers receiving 2.9k citations

Peers

Ze Yang
Comparison fields: 5 of 118
  • Aging 196
  • Physiology 467
  • Nephrology 171
  • Clinical Biochemistry 83
  • Genetics 493
Replace Jemma B. Wilk with:
Jemma B. Wilk United States
Kristin D. Marciante United States
Toshihiro Utsugi Japan
Emily L. Goldberg United States
Monika Puzianowska‐Kuźnicka Poland
Tetsuya Yamada Japan
Tobias Lohmann Germany
Tina Rönn Sweden
Maria Nethander Sweden
Susanne M. Clee Canada
Ze Yang relative to Jemma B. Wilk United States Jemma B. Wilk's profile →
Citations per field
00.5×1.6×
Jemma B. Wilk · 1×
Citations per year

Countries citing papers authored by Ze Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ze Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 152 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015218
2 2016150
3 2020130
4 2017100
5 201189
6 201286
7 201486
8 199884
9 200877
10 201862
11 200961
12 201456
13 202156
14 202351
15 200547
16 202143
17 200440
18 201138
19 200630
20 201230

About Ze Yang

Ze Yang is a scholar working on Genetics, Physiology, Pulmonary and Respiratory Medicine, Aging and Clinical Biochemistry, having authored 152 papers that have together received 3k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (41 papers), Alzheimer's disease research and treatments (24 papers), Prostate Cancer Treatment and Research (15 papers), Adipokines, Inflammation, and Metabolic Diseases (12 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Dementia and Cognitive Impairment Research (8 papers), Spondyloarthritis Studies and Treatments (8 papers) and Diabetes and associated disorders (7 papers). The work is most often cited by research in Aging (196 citations), Physiology (467 citations), Nephrology (171 citations), Clinical Biochemistry (83 citations) and Genetics (493 citations). Ze Yang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xiaoquan Zhu, Huiping Yuan, Liang Sun, Chenguang Zheng, Wandong Zhang, Xinghui Li, Binbin Wang, Qi Zhou, Chengxiao Zhao and Liang Sun. Their work appears in journals such as PLoS ONE, Scientific Reports, Journal of Molecular Neuroscience, Aging and Diabetes Research and Clinical Practice.

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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