Shanshan Liu

2.8k citations
125 papers · 2.3k indexed · 2 hit papers · h-index 25

Shanshan Liu

117 papers receiving 2.3k citations

Hit Papers

Cationization-Enhanced Type I and Type II ROS Generation ...1632021202620222024100200300

Peers

Shanshan Liu
Comparison fields: 5 of 129
  • Biomedical Engineering 1.5k
  • Biomaterials 282
  • Sensory Systems 70
  • Water Science and Technology 193
  • Materials Chemistry 630
Replace Peng Quan with:
Peng Quan China
Yuan Zou China
Chuntao Chen China
Concepción Civera Spain
Minmin Li China
Xiaojuan Zhang China
Agnieszka Mierczyńska-Vasilev Australia
Weiguo Tian China
Sung‐Min Kang South Korea
Verónica Lassalle Argentina
Shanshan Liu relative to Peng Quan China Peng Quan's profile →
Citations per field
00.5×3.2×
Peng Quan · 1×
Citations per year

Countries citing papers authored by Shanshan Liu

Since Specialization
Citations

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

Fields of papers citing papers by Shanshan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20243
3 20243
4 20241
5 20238
6 20235
7 202325
8 20238
9 20231
10 202217
11 20227
12
Cationization-Enhanced Type I and Type II ROS Generation for Photodynamic Treatment of Drug-Resistant Bacteriabreakdown →
2022163
13 20219
14 20213
15
Recent advances of AIE light-up probes for photodynamic therapybreakdown →
2021303
16 20219
17 202125
18 20202
19 201948
20 20172

About Shanshan Liu

Shanshan Liu is a scholar working on Biomedical Engineering, Biomaterials and Electronic, Optical and Magnetic Materials, having authored 125 papers that have together received 2.3k indexed citations. Recurring topics across this work include Lignin and Wood Chemistry (18 papers), Biofuel production and bioconversion (17 papers), Nanoplatforms for cancer theranostics (15 papers), Advancements in Battery Materials (13 papers), Advanced Battery Materials and Technologies (12 papers), Advanced Cellulose Research Studies (11 papers), Advanced battery technologies research (11 papers) and Membrane-based Ion Separation Techniques (7 papers). The work is most often cited by research in Biomedical Engineering (1.5k citations), Biomaterials (282 citations) and Sensory Systems (70 citations). Shanshan Liu has collaborated with scholars based in China, Canada and Australia. Frequent co-authors include Guangxue Feng, Ben Zhong Tang, Bin Liu, Guihua Yang, Jiachuan Chen, Chengyi Wang, Qiang Wang, Lin Chen, Enyou Li and Changsong Wang. Their work appears in journals such as Advanced Materials, Nature Communications and The Journal of Chemical Physics.

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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