Huiling Yu

490 citations
17 papers · 209 · h-index 10

Impact in

    • Parkinson's Disease Mechanisms and Treatments
    • Neurological disorders and treatments
    • Amyotrophic Lateral Sclerosis Research

Papers in

Huiling Yu

17 papers receiving 206 citations

Peers

Huiling Yu
Comparison fields: 5 of 64
  • Neurology 81
  • Biological Psychiatry 9
  • Neurology 27
  • Behavioral Neuroscience 10
  • Cellular and Molecular Neuroscience 51
Replace Jing-Huei Lai with:
Jing-Huei Lai Taiwan
Hideki Oizumi Japan
Fangjie Shao China
Takeharu Yokota Japan
Jiuhan Zhao China
Yumi Watanabe Japan
Keiichiro Tsunoda Japan
Emma D. Eaton Australia
Aslihan Ugun‐Klusek United Kingdom
Huiling Yu relative to Jing-Huei Lai Taiwan Jing-Huei Lai's profile →
Citations per field
00.5×1.5×
Jing-Huei Lai · 1×
Citations per year

Countries citing papers authored by Huiling Yu

Since Specialization
Citations

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

Fields of papers citing papers by Huiling Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201832
2 202228
3 201823
4 201019
5 202018
6 202017
7 202014
8 201911
9 20219
10 20239
11 20178
12 20196
13
[Effects of Total Alkaloids of Harmaline on Learning and Memory in Vascular Dementia Rats].
20155
14 20204
15 20243
16 20092
17 20241

About Huiling Yu

Huiling Yu is a scholar working on Neurology, Cellular and Molecular Neuroscience, Neurology, Molecular Biology and Surgery, having authored 17 papers that have together received 209 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (6 papers), Cancer-related molecular mechanisms research (2 papers), Neurological disorders and treatments (2 papers), MicroRNA in disease regulation (1 paper), Nerve injury and regeneration (1 paper), Alzheimer's disease research and treatments (1 paper), Glaucoma and retinal disorders (1 paper) and Biochemical Analysis and Sensing Techniques (1 paper). The work is most often cited by research in Neurology (81 citations), Biological Psychiatry (9 citations), Neurology (27 citations), Behavioral Neuroscience (10 citations) and Cellular and Molecular Neuroscience (51 citations). Huiling Yu has collaborated with scholars based in China and United States. Frequent co-authors include Chuantao Zuo, Lu-Lu Bu, Jian Wang, Yi‐Min Sun, Yan Shen, Yilin Tang, Ping Wu, Yue Zhang, Wenbo Yu and Yujie Yang. Their work appears in journals such as Journal of Parkinson s Disease, Journal of Integrative Neuroscience, Frontiers in Cell and Developmental Biology, Nature Communications and Movement Disorders.

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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