Wang Xuemin

1.7k citations
47 papers · 1.4k · h-index 20

Impact in

Papers in

    • Metabolism, Diabetes, and Cancer 3
    • RNA Research and Splicing 3
    • Polyamine Metabolism and Applications 3
    • Circular RNAs in diseases 3
    • MicroRNA in disease regulation 8
    • Cancer-related molecular mechanisms research 3

Wang Xuemin

45 papers receiving 1.4k citations

Peers

Wang Xuemin
Comparison fields: 5 of 112
  • Cancer Research 283
  • Developmental Neuroscience 50
  • Molecular Biology 750
  • Biological Psychiatry 25
  • Cellular and Molecular Neuroscience 152
Replace Agnieszka Gizak with:
Agnieszka Gizak Poland
Dariusz Rakus Poland
Yejun Tan United States
Sara Proietti Italy
Je‐Seong Won United States
Chunhua Chen China
Longxuan Li China
Barbara Morquette Canada
Kaori Nishikawa Japan
Yulia Kushnareva United States
Wang Xuemin relative to Agnieszka Gizak Poland Agnieszka Gizak's profile →
Citations per field
00.5×1.5×1.8×
Agnieszka Gizak · 1×
Citations per year

Countries citing papers authored by Wang Xuemin

Since Specialization
Citations

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

Fields of papers citing papers by Wang Xuemin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003218
2 2014155
3 2016153
4 199784
5 201759
6 201559
7 200452
8 201348
9 200447
10 201640
11 201440
12 201939
13 201635
14 201826
15 201726
16 202025
17 201523
18 200622
19 201120
20 201819

About Wang Xuemin

Wang Xuemin is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 47 papers that have together received 1.4k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (8 papers), Adipose Tissue and Metabolism (4 papers), Metabolism, Diabetes, and Cancer (3 papers), RNA Research and Splicing (3 papers), Autophagy in Disease and Therapy (3 papers), Cancer-related molecular mechanisms research (3 papers), Polyamine Metabolism and Applications (3 papers) and Circular RNAs in diseases (3 papers). The work is most often cited by research in Cancer Research (283 citations), Developmental Neuroscience (50 citations), Molecular Biology (750 citations), Biological Psychiatry (25 citations) and Cellular and Molecular Neuroscience (152 citations). Wang Xuemin has collaborated with scholars based in China, United Kingdom and Australia. Frequent co-authors include Christopher G. Proud, Claire E. Moore, Justin W. Kenney, Zixu Mao, Xiaoming Gong, Pan Jiang, Qing Feng, Xiaoyue Wu, Wenbin Huang and Shuhu Liu. Their work appears in journals such as Molecular Neurobiology, Journal of Molecular Neuroscience, Journal of Cellular Physiology, Scientific Reports and Gene.

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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