Shuke Wu
Impact in
- Molecular Biology top 2%
- Enzyme Catalysis and Immobilization
- Microbial Metabolic Engineering and Bioproduction
- Biotechnology top 10%
Papers in
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- Enzyme Catalysis and Immobilization 30
- Microbial Metabolic Engineering and Bioproduction 4
- Gene Regulatory Network Analysis 1
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- Microbial Metabolites in Food Biotechnology 1
- Co-authors
- Uwe T. Bornscheuer (14 shared papers)Zhi Li (20 shared papers)Radka Šnajdrová (3 shared papers)Kai Baldenius (2 shared papers)Jeffrey C. Moore (1 shared paper)Yi Zhou (12 shared papers)Christoffel P. S. Badenhorst (3 shared papers)Thomas Bayer (4 shared papers)
In The Last Decade
Shuke Wu
43 papers receiving 3.0k citations
Shuke Wu's Hit Papers
Peers
Comparison fields: 5 of 56
- Molecular Biology 2.2k
- Biotechnology 34
- Organic Chemistry 163
- Filtration and Separation 6
- Inorganic Chemistry 52
Countries citing papers authored by Shuke Wu
This map shows the geographic impact of Shuke Wu'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 Shuke Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuke Wu more than expected).
Fields of papers citing papers by Shuke Wu
This network shows the impact of papers produced by Shuke Wu. 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 Shuke Wu. The network helps show where Shuke Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Shuke Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Biocatalysis: Enzymatic Synthesis for Industrial Applications Hit paper breakdown → | 2020 | 1293 |
| 2 | Recent trends in biocatalysis Hit paper breakdown → | 2021 | 325 |
| 3 | 2016 | 165 | |
| 4 | 2020 | 116 | |
| 5 | 2016 | 107 | |
| 6 | 2017 | 105 | |
| 7 | 2013 | 92 | |
| 8 | 2017 | 81 | |
| 9 | 2019 | 77 | |
| 10 | 2014 | 71 | |
| 11 | 2013 | 69 | |
| 12 | 2017 | 69 | |
| 13 | 2020 | 63 | |
| 14 | 2018 | 62 | |
| 15 | 2014 | 53 | |
| 16 | 2021 | 52 | |
| 17 | An Update: Enzymatic Synthesis for Industrial Applications Hit paper breakdown → | 2025 | 43 |
| 18 | 2018 | 41 | |
| 19 | 2022 | 41 | |
| 20 | 2017 | 40 |
About Shuke Wu
Shuke Wu is a scholar working on Molecular Biology, Nutrition and Dietetics, Biomedical Engineering, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 46 papers that have together received 3.4k indexed citations. Recurring topics across this work include Enzyme Catalysis and Immobilization (30 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Catalysis for Biomass Conversion (2 papers), Gene Regulatory Network Analysis (1 paper) and Microbial Metabolites in Food Biotechnology (1 paper). The work is most often cited by research in Molecular Biology (2.2k citations), Biotechnology (34 citations), Organic Chemistry (163 citations), Filtration and Separation (6 citations) and Inorganic Chemistry (52 citations). Shuke Wu has collaborated with scholars based in Singapore, China and Germany. Frequent co-authors include Uwe T. Bornscheuer, Zhi Li, Radka Šnajdrová, Kai Baldenius, Jeffrey C. Moore, Yi Zhou, Christoffel P. S. Badenhorst, Thomas Bayer, Matthias Höhne and Aitao Li. Their work appears in journals such as Angewandte Chemie International Edition, Nature Communications, ACS Catalysis, Advanced Synthesis & Catalysis and ChemCatChem.
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.