Shima Liu

930 citations
27 papers · 713 · h-index 12

Impact in

Papers in

Shima Liu

27 papers receiving 708 citations

Peers

Shima Liu
Comparison fields: 5 of 84
  • Biomedical Engineering 374
  • Biomaterials 89
  • Inorganic Chemistry 92
  • Organic Chemistry 189
  • Process Chemistry and Technology 17
Replace Meng Song with:
Meng Song China
Tarek Abou Elmaaty Egypt
Borivoj Adnadjević Serbia
Guangwei Sun China
Ayesha Khan Pakistan
Hussein Abou‐Yousef Egypt
Taimei Cai China
Kung-Tung Chen Taiwan
Cuihua Dong China
Anushree Jatrana India
Shima Liu relative to Meng Song China Meng Song's profile →
Citations per field
00.5×5.8×
Meng Song · 1×
Citations per year

Countries citing papers authored by Shima Liu

Since Specialization
Citations

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

Fields of papers citing papers by Shima Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020151
2 202186
3 202181
4 202256
5 201954
6 201851
7 201648
8 202332
9 202225
10 202323
11 202321
12 202213
13 202411
14 202210
15 20229
16 20238
17 20245
18 20225
19 20244
20 20243

About Shima Liu

Shima Liu is a scholar working on Biomedical Engineering, Materials Chemistry, Organic Chemistry, Mechanical Engineering and Molecular Biology, having authored 27 papers that have together received 713 indexed citations. Recurring topics across this work include Catalysis for Biomass Conversion (9 papers), Catalysis and Hydrodesulfurization Studies (6 papers), Nanoparticles: synthesis and applications (6 papers), Graphene and Nanomaterials Applications (5 papers), Nanomaterials for catalytic reactions (3 papers), Antimicrobial agents and applications (3 papers), Natural Fiber Reinforced Composites (3 papers) and Supercapacitor Materials and Fabrication (3 papers). The work is most often cited by research in Biomedical Engineering (374 citations), Biomaterials (89 citations), Inorganic Chemistry (92 citations), Organic Chemistry (189 citations) and Process Chemistry and Technology (17 citations). Shima Liu has collaborated with scholars based in China, United Kingdom and Belgium. Frequent co-authors include Jian He, Ke Song, Xianwu Zhou, Jie Guo, Song Yang, Lulu Chen, Anders Riisager, Min Lv, Changzhi Li and Liqiang Luo. Their work appears in journals such as International Journal of Biological Macromolecules, ACS Applied Materials & Interfaces, ACS Sustainable Chemistry & Engineering, Biofuels Bioproducts and Biorefining and ChemSusChem.

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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