Dan Wu
Impact in
- Biotechnology top 1%
- Enzyme Production and Characterization
- Nutrition and Dietetics top 5%
- Microbial Metabolites in Food Biotechnology
Papers in
-
- Enzyme Production and Characterization 24
- Biochemical and biochemical processes 5
-
- Enzyme Catalysis and Immobilization 20
- Microbial Metabolic Engineering and Bioproduction 8
- Co-authors
- Jing Wu (20 shared papers)Min Zhang (4 shared papers)Jian Chen (9 shared papers)Sheng Chen (11 shared papers)Pu Zheng (26 shared papers)Bhesh Bhandari (2 shared papers)Pengcheng Chen (19 shared papers)Tao Yin (5 shared papers)
- Journals
- Journal of Agricultural and Food Chemistry (9 papers)Food Chemistry (7 papers)Journal of Biotechnology (4 papers)Process Biochemistry (4 papers)Applied Biochemistry and Biotechnology (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Dan Wu
102 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 126
- Biotechnology 478
- Nutrition and Dietetics 305
- Animal Science and Zoology 186
- Food Science 234
- Molecular Biology 784
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 106 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 129 | |
| 2 | 2020 | 111 | |
| 3 | 2017 | 72 | |
| 4 | 2012 | 67 | |
| 5 | 2013 | 60 | |
| 6 | 2024 | 59 | |
| 7 | 2011 | 58 | |
| 8 | 2020 | 57 | |
| 9 | 2021 | 49 | |
| 10 | 2020 | 46 | |
| 11 | 2019 | 46 | |
| 12 | 2020 | 42 | |
| 13 | 2023 | 39 | |
| 14 | 2010 | 39 | |
| 15 | 2013 | 39 | |
| 16 | 2010 | 38 | |
| 17 | 2004 | 37 | |
| 18 | 2014 | 36 | |
| 19 | 2021 | 35 | |
| 20 | 2014 | 34 |
About Dan Wu
Dan Wu is a scholar working on Biotechnology, Molecular Biology, Animal Science and Zoology, Plant Science and Food Science, having authored 106 papers that have together received 1.9k indexed citations. Recurring topics across this work include Enzyme Production and Characterization (24 papers), Enzyme Catalysis and Immobilization (20 papers), Biofuel production and bioconversion (11 papers), Meat and Animal Product Quality (9 papers), Microbial Metabolic Engineering and Bioproduction (8 papers), Microbial Metabolites in Food Biotechnology (6 papers), Endoplasmic Reticulum Stress and Disease (5 papers) and Biochemical and biochemical processes (5 papers). The work is most often cited by research in Biotechnology (478 citations), Nutrition and Dietetics (305 citations), Animal Science and Zoology (186 citations), Food Science (234 citations) and Molecular Biology (784 citations). Dan Wu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jing Wu, Min Zhang, Jian Chen, Sheng Chen, Pu Zheng, Bhesh Bhandari, Pengcheng Chen, Tao Yin, Jing Wu and Huizhi Chen. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Food Chemistry, Journal of Biotechnology, Process Biochemistry 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.