Ke‐Jie Yin

5.5k citations
71 papers · 4.3k indexed · h-index 33
    • Cancer-related molecular mechanisms research 24
    • MicroRNA in disease regulation 22
  • Neurology top 1%
    • Neurological Disease Mechanisms and Treatments 8
    • Neuroinflammation and Neurodegeneration Mechanisms 7
    • Circular RNAs in diseases 18
    • Kruppel-like factors research 6
    • Peroxisome Proliferator-Activated Receptors 5
  • Physiology top 2%
    • Alzheimer's disease research and treatments 7

Ke‐Jie Yin

65 papers receiving 4.3k citations

Peers

Ke‐Jie Yin
Comparison fields: 5 of 119
  • Cancer Research 2.1k
  • Neurology 800
  • Molecular Biology 2.5k
  • Physiology 828
  • Biological Psychiatry 76
Replace Bradley P. Ander with:
Bradley P. Ander United States
Glen C. Jickling United States
Edwige Petit France
Carine Ali France
Omolara O. Ogunshola Switzerland
Alex Zacharek United States
Mar Hernández‐Guillamón Spain
Cameron Lenahan China
Changhong Xing United States
Ke‐Jie Yin relative to Bradley P. Ander United States Bradley P. Ander's profile →
Citations per field
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Bradley P. Ander · 1×
Citations per year

Countries citing papers authored by Ke‐Jie Yin

Since Specialization
Citations

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

Fields of papers citing papers by Ke‐Jie Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ke‐Jie Yin. 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 Ke‐Jie Yin. The network helps show where Ke‐Jie Yin may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 202318
5 202244
6 201812
7 2017184
8 2017244
9
Dual Anti-Inflammatory and Anti-Angiogenic Action of miR-15a in Diabetic Retinopathy.
20161
10 201618
11 201658
12 2015124
13 2015177
14 201380
15 2006307
16 200660
17 200393
18 20009
19 19988
20 199818

About Ke‐Jie Yin

Ke‐Jie Yin is a scholar working on Cancer Research, Neurology and Molecular Biology, having authored 71 papers that have together received 4.3k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (24 papers), MicroRNA in disease regulation (22 papers), Circular RNAs in diseases (18 papers), Neurological Disease Mechanisms and Treatments (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Alzheimer's disease research and treatments (7 papers), Kruppel-like factors research (6 papers) and Peroxisome Proliferator-Activated Receptors (5 papers). The work is most often cited by research in Cancer Research (2.1k citations), Neurology (800 citations) and Molecular Biology (2.5k citations). Ke‐Jie Yin has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Milton H. Hamblin, Xuejing Zhang, Michael R. Hamblin, Jin‐Moo Lee, Chung Y. Hsu, Ping Sun, Jifeng Zhang, Xuelian Tang, Jan Xu and Zhen Deng. Their work appears in journals such as Stroke, Journal of Neuroscience, Journal of the Neurological Sciences, Journal of Cerebral Blood Flow & Metabolism and Journal of Biological Chemistry.

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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