Bin Du
Impact in
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- Microbial Metabolic Engineering and Bioproduction
- Gene Regulatory Network Analysis
- Enzyme Catalysis and Immobilization
- Protein Structure and Dynamics
- Bioinformatics and Genomic Networks
- Gut microbiota and health
Papers in
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- Microbial Metabolic Engineering and Bioproduction 7
- Genetics 4
- Bacterial Genetics and Biotechnology 2
- Co-authors
- Bernhard Ø. Palsson (9 shared papers)Daniel C. Zielinski (5 shared papers)Xin Fang (3 shared papers)Jonathan M. Monk (3 shared papers)Colton J. Lloyd (2 shared papers)Laurence Yang (2 shared papers)James T. Yurkovich (2 shared papers)Erol Kavvas (2 shared papers)
- Journals
- BMC Systems Biology (2 papers)Proceedings of the National Academy of Sciences (2 papers)Biotechnology and Bioengineering (1 paper)Trends in Biochemical Sciences (1 paper)PLoS Computational Biology (1 paper)
- Partner nations
- United StatesDenmarkChina
In The Last Decade
Bin Du
13 papers receiving 300 citations
Peers
Comparison fields: 5 of 68
- Molecular Biology 250
- Endocrinology 12
- Biomedical Engineering 66
- Molecular Medicine 6
- Genetics 32
Countries citing papers authored by Bin Du
This map shows the geographic impact of Bin Du'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 Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Du more than expected).
Fields of papers citing papers by Bin Du
This network shows the impact of papers produced by Bin Du. 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 Du. The network helps show where Bin Du may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Du, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 45 | |
| 2 | 2019 | 42 | |
| 3 | 2018 | 36 | |
| 4 | 2015 | 31 | |
| 5 | 2018 | 31 | |
| 6 | 2019 | 28 | |
| 7 | 2017 | 27 | |
| 8 | 2018 | 24 | |
| 9 | 2016 | 24 | |
| 10 | 2018 | 11 | |
| 11 | 2010 | 4 | |
| 12 | Genetic differentiation analysis on wheat backbone parent Bima No. 4 and its four sib-lines. | 2009 | 1 |
| 13 | 2017 | 1 |
About Bin Du
Bin Du is a scholar working on Molecular Biology, Genetics, Physical and Theoretical Chemistry, Biomedical Engineering and Control and Systems Engineering, having authored 13 papers that have together received 305 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (7 papers), Bacterial Genetics and Biotechnology (2 papers), thermodynamics and calorimetric analyses (2 papers), Biofuel production and bioconversion (2 papers), Folate and B Vitamins Research (1 paper), Advanced Proteomics Techniques and Applications (1 paper), Enzyme Structure and Function (1 paper) and Algal biology and biofuel production (1 paper). The work is most often cited by research in Molecular Biology (250 citations), Endocrinology (12 citations), Biomedical Engineering (66 citations), Molecular Medicine (6 citations) and Genetics (32 citations). Bin Du has collaborated with scholars based in United States, Denmark and China. Frequent co-authors include Bernhard Ø. Palsson, Daniel C. Zielinski, Xin Fang, Jonathan M. Monk, Colton J. Lloyd, Laurence Yang, James T. Yurkovich, Erol Kavvas, Anand V. Sastry and Andreas Dräger. Their work appears in journals such as BMC Systems Biology, Proceedings of the National Academy of Sciences, Biotechnology and Bioengineering, Trends in Biochemical Sciences and PLoS Computational Biology.
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.