Binbin Sheng

742 citations
20 papers · 606 · h-index 13

Impact in

Papers in

    • Microbial Metabolic Engineering and Bioproduction 7
    • Enzyme Catalysis and Immobilization 4
    • Microbial metabolism and enzyme function 3
    • Wastewater Treatment and Nitrogen Removal 8

Binbin Sheng

20 papers receiving 604 citations

Peers

Binbin Sheng
Comparison fields: 5 of 66
  • Pollution 326
  • Health, Toxicology and Mutagenesis 164
  • Water Science and Technology 119
  • Environmental Engineering 104
  • Biochemistry 50
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Yu Shang China
Yan Zong China
Cui Zhao China
Thi Quynh Ngoc Nguyen Singapore
Yong-Jin Choi South Korea
Su‐Fang Xing China
Naveen Patel India
Yuxiu Zhang China
Junhao Su China
Congyu Li China
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Citations per field
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Citations per year

Countries citing papers authored by Binbin Sheng

Since Specialization
Citations

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

Fields of papers citing papers by Binbin Sheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2019162
2 201999
3 201971
4 201837
5 201230
6 201329
7 201726
8 202024
9 202023
10 201523
11 201512
12 201812
13 201712
14 201612
15 202410
16 20169
17 20148
18 20244
19 20142
20 20241

About Binbin Sheng

Binbin Sheng is a scholar working on Molecular Biology, Pollution, Biochemistry, Environmental Engineering and Ecology, having authored 20 papers that have together received 606 indexed citations. Recurring topics across this work include Wastewater Treatment and Nitrogen Removal (8 papers), Microbial Metabolic Engineering and Bioproduction (7 papers), Microbial Fuel Cells and Bioremediation (5 papers), Amino Acid Enzymes and Metabolism (5 papers), Water Treatment and Disinfection (4 papers), Enzyme Catalysis and Immobilization (4 papers), Microbial Community Ecology and Physiology (4 papers) and Microbial metabolism and enzyme function (3 papers). The work is most often cited by research in Pollution (326 citations), Health, Toxicology and Mutagenesis (164 citations), Water Science and Technology (119 citations), Environmental Engineering (104 citations) and Biochemistry (50 citations). Binbin Sheng has collaborated with scholars based in China, Estonia and France. Frequent co-authors include Fangang Meng, Zhongbo Zhou, Yabing Meng, Naga Raju Maddela, Shasha Yuan, Cuiqing Ma, Chao Gao, Ping Xu, Chao Jin and Zijian Chen. Their work appears in journals such as Applied and Environmental Microbiology, The Science of The Total Environment, Scientific Reports, Journal of Bacteriology and Environmental Microbiology Reports.

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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