Yangyang Lin

872 citations
49 papers · 623 · h-index 17

Impact in

  • Neurology top 5%
    • Transcranial Magnetic Stimulation Studies
    • Neurological Disease Mechanisms and Treatments
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Neurogenesis and neuroplasticity mechanisms

Papers in

Yangyang Lin

45 papers receiving 611 citations

Peers

Yangyang Lin
Comparison fields: 5 of 107
  • Neurology 133
  • Developmental Neuroscience 36
  • Cellular and Molecular Neuroscience 114
  • Anesthesiology and Pain Medicine 25
  • Behavioral Neuroscience 15
Replace Mingwei Wang with:
Mingwei Wang China
David Leu United States
Lakkyong Hwang South Korea
Xiaohua Han China
Ying Xing China
Rongrong Han China
Yangyang Lin relative to Mingwei Wang China Mingwei Wang's profile →
Citations per field
00.5×2×3.1×
Mingwei Wang · 1×
Citations per year

Countries citing papers authored by Yangyang Lin

Since Specialization
Citations

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

Fields of papers citing papers by Yangyang Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202195
2 202139
3 201737
4 202136
5 202232
6 201532
7 202227
8 201524
9 202223
10 202121
11 201821
12
Keratinocyte growth factor (KGF) induces aromatase activity in cultured MCF-7 human breast cancer cells.
199820
13 202517
14 202417
15 202217
16 202217
17 202216
18 202115
19 202110
20 20228

About Yangyang Lin

Yangyang Lin is a scholar working on Neurology, Molecular Biology, Cellular and Molecular Neuroscience, Physiology and Surgery, having authored 49 papers that have together received 623 indexed citations. Recurring topics across this work include Transcranial Magnetic Stimulation Studies (6 papers), Cerebrospinal fluid and hydrocephalus (4 papers), Pain Management and Treatment (3 papers), Pain Mechanisms and Treatments (3 papers), Marine Biology and Environmental Chemistry (2 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Conducting polymers and applications (2 papers) and Analytical Chemistry and Sensors (2 papers). The work is most often cited by research in Neurology (133 citations), Developmental Neuroscience (36 citations), Cellular and Molecular Neuroscience (114 citations), Anesthesiology and Pain Medicine (25 citations) and Behavioral Neuroscience (15 citations). Yangyang Lin has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yuling Wang, Xiaojing Ye, Wenchang Li, Wei-Ping Dai, Wei‐Jye Lin, Minghong Sui, Huiying Liang, Xiuyuan Zheng, Yuan Luo and Xue‐Qiang Wang. Their work appears in journals such as Neurological Research, Frontiers in Psychology, Angewandte Chemie International Edition, Journal of Pain Research and Nature Communications.

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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