Shumei Wang

11.3k citations
378 papers · 7.0k indexed · 1 hit paper · h-index 41

Impact in

Papers in

Shumei Wang

355 papers receiving 6.9k citations

Hit Papers

RNA-binding proteins contribute to small RNA loading in plant extracellular vesicles 2021 · 239 citations
239202120262022202450100150200

Peers

Shumei Wang
Comparison fields: 5 of 188
  • Complementary and alternative medicine 561
  • Pharmacology 445
  • Molecular Biology 3.1k
  • Biochemistry 251
  • Cancer Research 537
Replace Muhammad Akram with:
Muhammad Akram Pakistan
Lixia Li China
Sung Won Kwon South Korea
Saikat Dewanjee India
Jingjing Liu China
Min Wang China
Xiaofang Li China
Shilin Yang China
Saikat Mitra Bangladesh
Anca Oana Docea Romania
Shumei Wang relative to Muhammad Akram Pakistan Muhammad Akram's profile →
Citations per field
00.5×2.9×
Muhammad Akram · 1×
Citations per year

Countries citing papers authored by Shumei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shumei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20248
2 20240
3 20244
4 20242
5 20243
6 20242
7 202329
8 20234
9 202325
10 202333
11 20232
12 202215
13 20217
14 202115
15 202115
16 2017126
17 20157
18 201542
19 20145
20 201417

About Shumei Wang

Shumei Wang is a scholar working on Complementary and alternative medicine, Pharmacology, Pharmacology, Analytical Chemistry and Biochemistry, having authored 378 papers that have together received 7.0k indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (47 papers), Metabolomics and Mass Spectrometry Studies (39 papers), Natural product bioactivities and synthesis (21 papers), Ginseng Biological Effects and Applications (17 papers), Spectroscopy and Chemometric Analyses (16 papers), Pharmacological Effects of Natural Compounds (15 papers), Flavonoids in Medical Research (14 papers) and Liver Disease Diagnosis and Treatment (13 papers). The work is most often cited by research in Complementary and alternative medicine (561 citations), Pharmacology (445 citations), Molecular Biology (3.1k citations), Biochemistry (251 citations) and Cancer Research (537 citations). Shumei Wang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Shengwang Liang, Qiang Cai, Hailing Jin, Paul R. J. Birch, Chunyan Yan, Pengpeng Zhang, Li Sun, Baoye He, Haiyun Zhai and Shaohua Chen. Their work appears in journals such as Journal of Pharmaceutical and Biomedical Analysis, Journal of Ethnopharmacology, Fitoterapia, RSC Advances and Food & Function.

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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