Jiping Yi

564 citations
23 papers · 376 · h-index 9

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

Jiping Yi

18 papers receiving 375 citations

Peers

Jiping Yi
Comparison fields: 5 of 53
  • Cancer Research 147
  • Neurology 37
  • Cellular and Molecular Neuroscience 81
  • Molecular Biology 238
  • Neurology 34
Replace Shiye Xu with:
Shiye Xu China
Yajun Lian China
Niclas Kneisel Germany
Samuel Brennan Australia
Haibo Ni China
Eun‐Mee Kim South Korea
Kyoungjoo Cho South Korea
Jonathan van Eyll Belgium
Udhaya Kumari Singapore
Chunyue Zhao China
Jiping Yi relative to Shiye Xu China Shiye Xu's profile →
Citations per field
00.5×1.5×1.9×
Shiye Xu · 1×
Citations per year

Countries citing papers authored by Jiping Yi

Since Specialization
Citations

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

Fields of papers citing papers by Jiping Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019110
2 201361
3 201950
4 202135
5 201834
6 201520
7 201019
8 201717
9 200912
10 20156
11 20093
12 20202
13
Classifying mild cognitive impairment and Alzheimer's disease by constructing a 14-gene diagnostic model.
20222
14 20241
15 20251
16
[Study on the single-nucleotide substitution (c.-16C to T) of the PURATROPHIN-1 gene in Chinese patients with spinocerebellar ataxia].
20081
17 20221
18 20221
19 20250
20 20250

About Jiping Yi

Jiping Yi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Epidemiology and Cancer Research, having authored 23 papers that have together received 376 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (6 papers), MicroRNA in disease regulation (3 papers), Amyotrophic Lateral Sclerosis Research (2 papers), Sepsis Diagnosis and Treatment (2 papers), Cancer-related molecular mechanisms research (2 papers), Traumatic Brain Injury and Neurovascular Disturbances (1 paper), Genetics and Neurodevelopmental Disorders (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Cancer Research (147 citations), Neurology (37 citations), Cellular and Molecular Neuroscience (81 citations), Molecular Biology (238 citations) and Neurology (34 citations). Jiping Yi has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Xiaoxi Yao, Rui Yao, Hong Jiang, Beisha Tang, Yafang Zhou, Li Zhang, Zhao Chen, Yi Zhang, Lifang Lei and Jian-Ting Chen. Their work appears in journals such as Neurology, Biochemical and Biophysical Research Communications, Neurological Sciences, PLoS ONE and Frontiers in Neurology.

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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