Yang Mao

1.7k citations
51 papers · 1.0k indexed · h-index 18

Impact in

    • Proteoglycans and glycosaminoglycans research
    • Glycosylation and Glycoproteins Research
    • Ubiquitin and proteasome pathways
    • Protein Degradation and Inhibitors

Papers in

    • Proteoglycans and glycosaminoglycans research 12
    • Glycosylation and Glycoproteins Research 15
    • CRISPR and Genetic Engineering 3

Yang Mao

49 papers receiving 1.0k citations

Peers

Yang Mao
Comparison fields: 5 of 121
  • Cell Biology 260
  • Molecular Biology 614
  • Insect Science 91
  • Cellular and Molecular Neuroscience 117
  • Spectroscopy 87
Replace Tomoko Komiyama with:
Tomoko Komiyama Japan
Wen‐guey Wu Taiwan
Ricardo Gutiérrez–Gallego Spain
Rinku Jain United States
Thomas N. Krogh Denmark
Sudhir K. Sinha United States
G. Jawahar Swaminathan United Kingdom
Javier Delgado Spain
Estelle Laurent Canada
Pitter F. Huesgen Germany
Yang Mao relative to Tomoko Komiyama Japan Tomoko Komiyama's profile →
Citations per field
00.5×
Tomoko Komiyama · 1×
Citations per year

Countries citing papers authored by Yang Mao

Since Specialization
Citations

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

Fields of papers citing papers by Yang Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20252
4 20251
5 202419
6 20248
7 20242
8 20235
9 20237
10 20225
11 202210
12 20214
13 20219
14 201986
15 2018103
16 201713
17 201670
18 201611
19 201617
20 20132

About Yang Mao

Yang Mao is a scholar working on Cell Biology, Molecular Biology, Biochemistry, Hematology and Physiology, having authored 51 papers that have together received 1.0k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (15 papers), Proteoglycans and glycosaminoglycans research (12 papers), Quantum Dots Synthesis And Properties (5 papers), Chalcogenide Semiconductor Thin Films (5 papers), Carbohydrate Chemistry and Synthesis (4 papers), Copper-based nanomaterials and applications (3 papers), CRISPR and Genetic Engineering (3 papers) and Land Use and Ecosystem Services (3 papers). The work is most often cited by research in Cell Biology (260 citations), Molecular Biology (614 citations), Insect Science (91 citations), Cellular and Molecular Neuroscience (117 citations) and Spectroscopy (87 citations). Yang Mao has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Joseph Zaia, Yu Huang, Henrik Clausen, Sergey Y. Vakhrushev, Zilu Ye, Cheng Lin, Xianzhong Xu, Jon Clardy, Jiajing Li and Wei Xu. Their work appears in journals such as Analytical Chemistry, Biochemical and Biophysical Research Communications, Nature Communications, Journal of Biological Chemistry and Proceedings of the National Academy of Sciences.

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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