Xiaozhen Lin

660 citations
29 papers · 490 · h-index 11

Impact in

Papers in

    • RNA modifications and cancer 2
    • Parkinson's Disease Mechanisms and Treatments 3
    • Neurological disorders and treatments 2
    • Botulinum Toxin and Related Neurological Disorders 2

Xiaozhen Lin

27 papers receiving 483 citations

Peers

Xiaozhen Lin
Comparison fields: 5 of 88
  • Applied Microbiology and Biotechnology 18
  • Energy Engineering and Power Technology 18
  • Biochemistry 29
  • Cancer Research 66
  • Genetics 44
Replace Yeon Kim with:
Yeon Kim South Korea
Yunshu Yang China
Sivanandane Sittadjody United States
Mirosław Sopel Poland
Kyung‐Hwa Kang South Korea
Katarzyna Ratajczak‐Wielgomas Poland
Xiao Luo China
Jianxin Tao China
Gregory M. Williams United States
Xiaozhen Lin relative to Yeon Kim South Korea Yeon Kim's profile →
Citations per field
00.5×1.5×2.3×
Yeon Kim · 1×
Citations per year

Countries citing papers authored by Xiaozhen Lin

Since Specialization
Citations

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

Fields of papers citing papers by Xiaozhen Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Green tea catechins augment the antitumor activity of doxorubicin in an in vivo mouse model for chemoresistant liver cancer.
2010123
2 201790
3 202246
4 201342
5 201529
6 202326
7 201517
8 202313
9 202311
10 202311
11 201311
12 20219
13 20209
14 20237
15 20177
16 20196
17
[Efficacy of sublingual immunotherapy with Dermatophagoides farinae drops in preschool and school-age children with allergic asthma and allergic rhinitis].
20136
18 20186
19 20125
20 20243

About Xiaozhen Lin

Xiaozhen Lin is a scholar working on Molecular Biology, Neurology, Genetics, Geriatrics and Gerontology and Rheumatology, having authored 29 papers that have together received 490 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (3 papers), Sirtuins and Resveratrol in Medicine (2 papers), Neurological disorders and treatments (2 papers), Neurogenetic and Muscular Disorders Research (2 papers), Botulinum Toxin and Related Neurological Disorders (2 papers), RNA modifications and cancer (2 papers), Integrated Energy Systems Optimization (2 papers) and Folate and B Vitamins Research (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (18 citations), Energy Engineering and Power Technology (18 citations), Biochemistry (29 citations), Cancer Research (66 citations) and Genetics (44 citations). Xiaozhen Lin has collaborated with scholars based in China, Taiwan and Australia. Frequent co-authors include Bin Qiao, Baoxia He, Gang Liang, Anzhou Tang, Li Li, Zhiming Huang, Qingdi Quentin Li, Su Zhang, Ziqing Wei and Xiaoqiang Zhai. Their work appears in journals such as Medical Image Analysis, Frontiers in Cardiovascular Medicine, Gene, Aging and Disease and The Journal of Clinical Endocrinology & Metabolism.

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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