Shuke Wu
Impact in
- Molecular Biology top 5%
- Enzyme Catalysis and Immobilization
- Microbial Metabolic Engineering and Bioproduction
- Chemical Synthesis and Analysis
- Organic Chemistry top 2%
Papers in
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- Enzyme Catalysis and Immobilization 34
- Microbial Metabolic Engineering and Bioproduction 25
- Chemical Synthesis and Analysis 5
- Steroid Chemistry and Biochemistry 4
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- Biofuel production and bioconversion 9
- Catalysis for Biomass Conversion 4
- Co-authors
- Uwe T. Bornscheuer (18 shared papers)Zhi Li (20 shared papers)Radka Šnajdrová (5 shared papers)Kai Baldenius (4 shared papers)Jeffrey C. Moore (2 shared papers)Yi Zhou (14 shared papers)Christoffel P. S. Badenhorst (5 shared papers)Thomas Bayer (6 shared papers)
In The Last Decade
Shuke Wu
45 papers receiving 3.1k citations
Shuke Wu's Hit Papers
Peers
Comparison fields: 5 of 99
- Molecular Biology 2.4k
- Organic Chemistry 773
- Biochemistry 188
- Inorganic Chemistry 367
- Pharmacology 195
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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Biocatalysis: Enzymatic Synthesis for Industrial Applications Hit paper breakdown → | 2020 | 1122 |
| 2 | Recent trends in biocatalysis Hit paper breakdown → | 2021 | 291 |
| 3 | 2016 | 159 | |
| 4 | 2017 | 103 | |
| 5 | 2020 | 93 | |
| 6 | 2013 | 90 | |
| 7 | 2020 | 90 | |
| 8 | 2017 | 79 | |
| 9 | 2016 | 74 | |
| 10 | 2019 | 72 | |
| 11 | 2013 | 70 | |
| 12 | 2014 | 69 | |
| 13 | 2017 | 66 | |
| 14 | 2018 | 59 | |
| 15 | 2020 | 59 | |
| 16 | 2014 | 52 | |
| 17 | 2021 | 46 | |
| 18 | 2018 | 41 | |
| 19 | 2017 | 40 | |
| 20 | 2022 | 39 |
About Shuke Wu
Shuke Wu is a scholar working on Molecular Biology, Biomedical Engineering, Organic Chemistry, Pharmacology and Pharmacology, having authored 50 papers that have together received 3.2k indexed citations. Recurring topics across this work include Enzyme Catalysis and Immobilization (34 papers), Microbial Metabolic Engineering and Bioproduction (25 papers), Biofuel production and bioconversion (9 papers), Pharmacogenetics and Drug Metabolism (6 papers), Chemical Synthesis and Analysis (5 papers), Carbohydrate Chemistry and Synthesis (4 papers), Steroid Chemistry and Biochemistry (4 papers) and Catalysis for Biomass Conversion (4 papers). The work is most often cited by research in Molecular Biology (2.4k citations), Organic Chemistry (773 citations), Biochemistry (188 citations), Inorganic Chemistry (367 citations) and Pharmacology (195 citations). Shuke Wu has collaborated with scholars based in Germany, Singapore and China. Frequent co-authors include Uwe T. Bornscheuer, Zhi Li, Radka Šnajdrová, Kai Baldenius, Jeffrey C. Moore, Yi Zhou, Christoffel P. S. Badenhorst, Thomas Bayer, Aitao Li and Matthias Höhne. Their work appears in journals such as Angewandte Chemie International Edition, Nature Communications, ACS Catalysis, Chemical Communications and Advanced Synthesis & Catalysis.
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.