Dan Wu
Impact in
- Biotechnology top 1%
- Enzyme Production and Characterization
- Nutrition and Dietetics top 5%
- Microbial Metabolites in Food Biotechnology
Papers in
-
- Enzyme Catalysis and Immobilization 20
- Microbial Metabolic Engineering and Bioproduction 6
-
- Enzyme Production and Characterization 25
- Co-authors
- Jing Wu (20 shared papers)Min Zhang (4 shared papers)Jian Chen (9 shared papers)Sheng Chen (11 shared papers)Pu Zheng (22 shared papers)Bhesh Bhandari (2 shared papers)Pengcheng Chen (16 shared papers)Jing Wu (4 shared papers)
- Journals
- Journal of Agricultural and Food Chemistry (7 papers)Food Chemistry (6 papers)Process Biochemistry (4 papers)Journal of Biotechnology (4 papers)Applied Biochemistry and Biotechnology (3 papers)
- Partner nations
- ChinaUnited StatesThailand
In The Last Decade
Dan Wu
96 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 127
- Biotechnology 441
- Nutrition and Dietetics 281
- Animal Science and Zoology 174
- Food Science 220
- Molecular Biology 741
Countries citing papers authored by Dan Wu
This map shows the geographic impact of Dan 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 Dan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Wu more than expected).
Fields of papers citing papers by Dan Wu
This network shows the impact of papers produced by Dan 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 Dan Wu. The network helps show where Dan Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan 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 101 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 116 | |
| 2 | 2020 | 94 | |
| 3 | 2017 | 70 | |
| 4 | 2012 | 56 | |
| 5 | 2011 | 54 | |
| 6 | 2020 | 52 | |
| 7 | 2013 | 51 | |
| 8 | 2020 | 45 | |
| 9 | 2021 | 45 | |
| 10 | 2024 | 43 | |
| 11 | 2019 | 40 | |
| 12 | 2020 | 40 | |
| 13 | 2004 | 36 | |
| 14 | 2010 | 36 | |
| 15 | 2014 | 36 | |
| 16 | 2010 | 35 | |
| 17 | 2013 | 34 | |
| 18 | 2014 | 34 | |
| 19 | 2023 | 33 | |
| 20 | 2020 | 31 |
About Dan Wu
Dan Wu is a scholar working on Molecular Biology, Biotechnology, Plant Science, Biomedical Engineering and Food Science, having authored 101 papers that have together received 1.7k indexed citations. Recurring topics across this work include Enzyme Production and Characterization (25 papers), Enzyme Catalysis and Immobilization (20 papers), Biofuel production and bioconversion (11 papers), Meat and Animal Product Quality (8 papers), Microbial Metabolites in Food Biotechnology (7 papers), Microbial Metabolic Engineering and Bioproduction (6 papers), Nanocomposite Films for Food Packaging (5 papers) and Endoplasmic Reticulum Stress and Disease (5 papers). The work is most often cited by research in Biotechnology (441 citations), Nutrition and Dietetics (281 citations), Animal Science and Zoology (174 citations), Food Science (220 citations) and Molecular Biology (741 citations). Dan Wu has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Jing Wu, Min Zhang, Jian Chen, Sheng Chen, Pu Zheng, Bhesh Bhandari, Pengcheng Chen, Jing Wu, Huizhi Chen and Tao Yin. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Food Chemistry, Process Biochemistry, Journal of Biotechnology 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.