Xiaomin Wen

692 citations
25 papers · 396 · h-index 10

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

Xiaomin Wen

23 papers receiving 392 citations

Peers

Xiaomin Wen
Comparison fields: 5 of 96
  • Cancer Research 60
  • Immunology 75
  • Developmental Neuroscience 11
  • Aging 4
  • Molecular Biology 146
Replace Rajendra Prasad Tripathi with:
Rajendra Prasad Tripathi India
Guanqiao Liu China
Nuria San Martín Spain
Behnaz Valipour Iran
Dang Tien Truong Vietnam
Yi-Chan Wu Taiwan
Karolina Łuczkowska Poland
Dongjie Xiao China
Yue Teng China
Xiaomin Wen relative to Rajendra Prasad Tripathi India Rajendra Prasad Tripathi's profile →
Citations per field
00.5×6.5×
Rajendra Prasad Tripathi · 1×
Citations per year

Countries citing papers authored by Xiaomin Wen

Since Specialization
Citations

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

Fields of papers citing papers by Xiaomin Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202274
2 201959
3 200845
4 202045
5 202032
6 202126
7 201722
8 202022
9 202020
10 201115
11 20217
12 20217
13 20246
14 20213
15 20192
16 20192
17
[Effects of Sanren decoction on Th1/Th2 cytokines in rats with spleen-stomach damp-heat syndrome].
20122
18
[Sanhuangyinchi decoction pretreatment ameliorates acute hepatic failure in rats by suppressing antioxidant stress and caspase-3 expression].
20142
19 20181
20 20211

About Xiaomin Wen

Xiaomin Wen is a scholar working on Molecular Biology, Obstetrics and Gynecology, Epidemiology, Immunology and Pharmacology, having authored 25 papers that have together received 396 indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (4 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Diabetes and associated disorders (2 papers), Traditional Chinese Medicine Analysis (2 papers), Ovarian cancer diagnosis and treatment (2 papers), Pluripotent Stem Cells Research (2 papers) and Healthcare and Venom Research (1 paper). The work is most often cited by research in Cancer Research (60 citations), Immunology (75 citations), Developmental Neuroscience (11 citations), Aging (4 citations) and Molecular Biology (146 citations). Xiaomin Wen has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Hong Tan, Xiaolong Liu, Gang Xiao, Sai Li, Jinquan Liu, Kang Peng, Zhouyu Li, Xiaoyan Sheng, Mingyi Li and Jin Zhou. Their work appears in journals such as Journal of Cellular Physiology, Brachytherapy, Journal of Clinical Laboratory Analysis, Materials Science and Engineering C and Cell Research.

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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