Sha Meng

1.0k citations
8 papers · 788 · h-index 8

Impact in

  • Hepatology top 5%
    • Liver physiology and pathology
    • Pluripotent Stem Cells Research
    • CRISPR and Genetic Engineering
    • Renal and related cancers

Papers in

    • Glycosylation and Glycoproteins Research 3
    • Pluripotent Stem Cells Research 2
    • RNA Interference and Gene Delivery 2
    • Epigenetics and DNA Methylation 1
    • Cell death mechanisms and regulation 1
    • Proteoglycans and glycosaminoglycans research 3

Sha Meng

8 papers receiving 768 citations

Peers

Sha Meng
Comparison fields: 5 of 72
  • Hepatology 233
  • Molecular Biology 587
  • Surgery 284
  • Genetics 43
  • Biomedical Engineering 156
Replace Zoë Hewitt with:
Zoë Hewitt United Kingdom
Mitsuru Inamura Japan
Yonghak Kim United States
Teni Anbarchian United States
Pooja Chaudhari United States
Karen Mulé United States
Sanna Toivonen Finland
I Aurich Germany
Neha R. Dhoke India
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Citations per field
00.5×1.6×
Zoë Hewitt · 1×
Citations per year

Countries citing papers authored by Sha Meng

Since Specialization
Citations

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

Fields of papers citing papers by Sha Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2007489
2 2005163
3 201047
4 201047
5 201813
6 201811
7 201711
8 20187

About Sha Meng

Sha Meng is a scholar working on Molecular Biology, Cell Biology, Polymers and Plastics, Organic Chemistry and Surgery, having authored 8 papers that have together received 788 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (3 papers), Proteoglycans and glycosaminoglycans research (3 papers), Pluripotent Stem Cells Research (2 papers), RNA Interference and Gene Delivery (2 papers), Dendrimers and Hyperbranched Polymers (2 papers), Epigenetics and DNA Methylation (1 paper), Liver physiology and pathology (1 paper) and Cell death mechanisms and regulation (1 paper). The work is most often cited by research in Hepatology (233 citations), Molecular Biology (587 citations), Surgery (284 citations), Genetics (43 citations) and Biomedical Engineering (156 citations). Sha Meng has collaborated with scholars based in China, Hong Kong and Thailand. Frequent co-authors include Hongkui Deng, Yang Zhao, Jun Cai, Mingxiao Ding, Xijun Song, Yushan Guo, Qin Han, Yanxia Liu, Fei Ye and Yuezhou Chen. Their work appears in journals such as Biochemical and Biophysical Research Communications, Cell Research, The Journal of Organic Chemistry, European Journal of Medicinal Chemistry and Journal of Biological Chemistry.

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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