Xiaowei Lin

1.4k citations
32 papers · 649 · h-index 14

Impact in

Papers in

Xiaowei Lin

30 papers receiving 641 citations

Peers

Xiaowei Lin
Comparison fields: 5 of 90
  • Complementary and alternative medicine 163
  • Neurology 64
  • Biological Psychiatry 16
  • Sensory Systems 31
  • Physiology 107
Replace Fausto Pierdoná Gúzen with:
Fausto Pierdoná Gúzen Brazil
Lingshan Gou China
Dilek Özbeyli Türkiye
Kyuseok Kim South Korea
Guo-Ming Shen China
María del Rocío Thompson-Bonilla Mexico
Salim A. Kanaan Lebanon
Yujin Choi South Korea
Sharron Dolan United Kingdom
Xiaowei Lin relative to Fausto Pierdoná Gúzen Brazil Fausto Pierdoná Gúzen's profile →
Citations per field
00.5×4.2×
Fausto Pierdoná Gúzen · 1×
Citations per year

Countries citing papers authored by Xiaowei Lin

Since Specialization
Citations

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

Fields of papers citing papers by Xiaowei Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021137
2 2016104
3 202155
4 202145
5 202336
6 202328
7 201526
8 202423
9 201723
10 201717
11 202116
12 202315
13 201814
14 202314
15 202312
16 20249
17 20249
18 20239
19 20218
20 20247

About Xiaowei Lin

Xiaowei Lin is a scholar working on Complementary and alternative medicine, Physiology, Molecular Biology, Neurology and Immunology, having authored 32 papers that have together received 649 indexed citations. Recurring topics across this work include Acupuncture Treatment Research Studies (12 papers), Pain Mechanisms and Treatments (4 papers), Vagus Nerve Stimulation Research (4 papers), Plant Reproductive Biology (3 papers), Complementary and Alternative Medicine Studies (3 papers), Plant Molecular Biology Research (3 papers), Alzheimer's disease research and treatments (2 papers) and Psychosomatic Disorders and Their Treatments (2 papers). The work is most often cited by research in Complementary and alternative medicine (163 citations), Neurology (64 citations), Biological Psychiatry (16 citations), Sensory Systems (31 citations) and Physiology (107 citations). Xiaowei Lin has collaborated with scholars based in China, Japan and Hong Kong. Frequent co-authors include Zhifang Xu, Yi Guo, Baomin Dou, Ningcen Li, Yinan Gong, Zhongxi Lyu, Wen Fan, Kaifang Yao, Zhihan Chen and Yangyang Liu. Their work appears in journals such as Journal of Inflammation Research, Chinese Medicine, The Plant Journal, Frontiers in Neuroscience and Biomedicine & Pharmacotherapy.

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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