Sha Meng

1.0k citations
8 papers · 784 · 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
    • RNA Interference and Gene Delivery 2
    • Pluripotent Stem Cells Research 2
    • Advanced biosensing and bioanalysis techniques 1
    • Proteoglycans and glycosaminoglycans research 3

Sha Meng

8 papers receiving 764 citations

Peers

Sha Meng
Comparison fields: 5 of 72
  • Hepatology 254
  • Molecular Biology 621
  • Surgery 325
  • Genetics 52
  • Biomedical Engineering 163
Replace Thomas Touboul with:
Thomas Touboul France
Zhiying He China
Zoë Hewitt United Kingdom
Pooja Chaudhari United States
Karen Mulé United States
Ru Ji China
Irit Meivar‐Levy Israel
Ortwin Naujok Germany
Neha R. Dhoke India
Sha Meng relative to Thomas Touboul France Thomas Touboul's profile →
Citations per field
00.5×1.5×
Thomas Touboul · 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 2007487
2 2005162
3 201047
4 201046
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 784 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (3 papers), Proteoglycans and glycosaminoglycans research (3 papers), Dendrimers and Hyperbranched Polymers (2 papers), RNA Interference and Gene Delivery (2 papers), Pluripotent Stem Cells Research (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Pancreatic function and diabetes (1 paper) and Connective tissue disorders research (1 paper). The work is most often cited by research in Hepatology (254 citations), Molecular Biology (621 citations), Surgery (325 citations), Genetics (52 citations) and Biomedical Engineering (163 citations). Sha Meng has collaborated with scholars based in China, Thailand and Hong Kong. Frequent co-authors include Hongkui Deng, Mingxiao Ding, Yang Zhao, Jun Cai, Yanxia Liu, Zhihua Song, Qin Han, Yuezhou Chen, Fei Ye and Yushan Guo. Their work appears in journals such as European Journal of Medicinal Chemistry, Nanomaterials, Cell Research, Tetrahedron Letters 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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