Bin Kuang

649 citations
27 papers · 541 · h-index 14

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 2
    • Biochemical and Structural Characterization 2
    • Wastewater Treatment and Nitrogen Removal 5

Bin Kuang

26 papers receiving 534 citations

Peers

Bin Kuang
Comparison fields: 5 of 86
  • Toxicology 51
  • Complementary and alternative medicine 72
  • Pollution 69
  • Environmental Engineering 80
  • Pharmacology 42
Replace Yingdong Zhu with:
Yingdong Zhu United States
Youhua Wu China
Xiuqin Kong China
Hai‐Jing Zhang China
Jiali Yang China
Hussain Arif India
Xing Xia China
Sivakumar Loganathan India
Bin Kuang relative to Yingdong Zhu United States Yingdong Zhu's profile →
Citations per field
00.5×5×10×13×
Yingdong Zhu · 1×
Citations per year

Countries citing papers authored by Bin Kuang

Since Specialization
Citations

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

Fields of papers citing papers by Bin Kuang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bin Kuang, 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 Bin Kuang Line = papers co-authored together Bin Kuang 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 200566
2 202161
3 201155
4 202351
5 202347
6 201842
7 202230
8 202327
9 201126
10 202217
11 201417
12 201815
13 202414
14 201213
15 201712
16 202211
17 20128
18 20146
19 20176
20 20126

About Bin Kuang

Bin Kuang is a scholar working on Molecular Biology, Pollution, Environmental Engineering, Complementary and alternative medicine and Biotechnology, having authored 27 papers that have together received 541 indexed citations. Recurring topics across this work include Microbial Fuel Cells and Bioremediation (6 papers), Morinda citrifolia extract uses (5 papers), Microbial Metabolism and Applications (5 papers), Wastewater Treatment and Nitrogen Removal (5 papers), Pharmacological Effects of Natural Compounds (4 papers), Glycosylation and Glycoproteins Research (2 papers), Biochemical and Structural Characterization (2 papers) and Anaerobic Digestion and Biogas Production (2 papers). The work is most often cited by research in Toxicology (51 citations), Complementary and alternative medicine (72 citations), Pollution (69 citations), Environmental Engineering (80 citations) and Pharmacology (42 citations). Bin Kuang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Gefu Zhu, Tao Wang, Jianbo Jia, Ning‐Hua Tan, Simeng Zhao, Guang‐Zhi Zeng, Changyu Liu, Chang‐Jiu Ji, Guanjing Cai and Fei He. Their work appears in journals such as Medicine, Tetrahedron, Frontiers in Pharmacology, Journal of Natural Products and CHIMIA International Journal for 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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