Bin Wu
Impact in
- Biotechnology top 1%
- Enzyme Production and Characterization
- Molecular Biology top 5%
- Enzyme Catalysis and Immobilization
- Chemical Synthesis and Analysis
- Microbial Metabolic Engineering and Bioproduction
- Glycosylation and Glycoproteins Research
Papers in ⓘ
-
- Enzyme Production and Characterization 25
-
- Enzyme Catalysis and Immobilization 38
- Microbial Metabolic Engineering and Bioproduction 17
- Chemical Synthesis and Analysis 14
- Glycosylation and Glycoproteins Research 13
- Co-authors
- Bingfang He (22 shared papers)Gong Chen (9 shared papers)Bingfang He (16 shared papers)Samuel J. Danishefsky (9 shared papers)Jiehao Chen (8 shared papers)J. David Warren (6 shared papers)Gary A. Sulikowski (6 shared papers)Zihao Hua (6 shared papers)
- Journals
- International Journal of Biological Macromolecules (7 papers)Molecular Catalysis (7 papers)Bioresource Technology (6 papers)Tetrahedron Letters (5 papers)Applied Biochemistry and Biotechnology (4 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Bin Wu
120 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 120
- Biotechnology 476
- Molecular Biology 1.9k
- Reproductive Medicine 226
- Organic Chemistry 689
- Biomedical Engineering 749
Countries citing papers authored by Bin Wu
This map shows the geographic impact of Bin 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 Bin Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Wu more than expected).
Fields of papers citing papers by Bin Wu
This network shows the impact of papers produced by Bin 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 Bin Wu. The network helps show where Bin Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin 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 127 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 141 | |
| 2 | 2018 | 138 | |
| 3 | 1997 | 113 | |
| 4 | 2016 | 84 | |
| 5 | 2010 | 72 | |
| 6 | 2016 | 68 | |
| 7 | 1998 | 64 | |
| 8 | 2009 | 64 | |
| 9 | 2006 | 64 | |
| 10 | 1999 | 60 | |
| 11 | 2018 | 57 | |
| 12 | 2009 | 55 | |
| 13 | 2014 | 53 | |
| 14 | 2001 | 53 | |
| 15 | 2012 | 52 | |
| 16 | 2006 | 50 | |
| 17 | 2000 | 45 | |
| 18 | 2012 | 44 | |
| 19 | 2006 | 44 | |
| 20 | 2014 | 43 |
About Bin Wu
Bin Wu is a scholar working on Biotechnology, Molecular Biology, Biomedical Engineering, Organic Chemistry and Biochemistry, having authored 127 papers that have together received 2.8k indexed citations. Recurring topics across this work include Enzyme Catalysis and Immobilization (38 papers), Biofuel production and bioconversion (38 papers), Enzyme Production and Characterization (25 papers), Carbohydrate Chemistry and Synthesis (18 papers), Microbial Metabolic Engineering and Bioproduction (17 papers), Reproductive Biology and Fertility (15 papers), Chemical Synthesis and Analysis (14 papers) and Glycosylation and Glycoproteins Research (13 papers). The work is most often cited by research in Biotechnology (476 citations), Molecular Biology (1.9k citations), Reproductive Medicine (226 citations), Organic Chemistry (689 citations) and Biomedical Engineering (749 citations). Bin Wu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Bingfang He, Gong Chen, Bingfang He, Samuel J. Danishefsky, Jiehao Chen, J. David Warren, Gary A. Sulikowski, Zihao Hua, Zhen Gao and Jiaxing Xu. Their work appears in journals such as International Journal of Biological Macromolecules, Molecular Catalysis, Bioresource Technology, Tetrahedron Letters and Applied Biochemistry and Biotechnology.
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.