Jing Wu
Impact in
- Biotechnology top 0.1%
- Enzyme Production and Characterization
- Pollution top 0.5%
- Microplastics and Plastic Pollution
Papers in
- Biotechnology 114
- Enzyme Production and Characterization 103
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- Enzyme Catalysis and Immobilization 29
- Co-authors
- Lingqia Su (72 shared papers)Sheng Chen (48 shared papers)Xuguo Duan (21 shared papers)Jian Chen (18 shared papers)Kang Zhang (12 shared papers)Guocheng Du (10 shared papers)Kiyoshi Hama (2 shared papers)Toshio Kosaka (2 shared papers)
- Journals
- Journal of Agricultural and Food Chemistry (14 papers)Bioresource Technology (12 papers)Journal of Biotechnology (11 papers)Applied Microbiology and Biotechnology (11 papers)Process Biochemistry (9 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Jing Wu
211 papers receiving 5.8k citations
Peers
Comparison fields: 5 of 128
- Biotechnology 1.8k
- Pollution 1.1k
- Biomaterials 1.1k
- Nutrition and Dietetics 803
- Industrial and Manufacturing Engineering 325
Countries citing papers authored by Jing Wu
This map shows the geographic impact of Jing 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 Jing Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Wu more than expected).
Fields of papers citing papers by Jing Wu
This network shows the impact of papers produced by Jing 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 Jing Wu. The network helps show where Jing Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jing 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 212 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1985 | 303 | |
| 2 | 2013 | 270 | |
| 3 | 1986 | 223 | |
| 4 | 2008 | 214 | |
| 5 | 2007 | 193 | |
| 6 | 2013 | 159 | |
| 7 | 2011 | 144 | |
| 8 | 2000 | 143 | |
| 9 | 2013 | 109 | |
| 10 | 2016 | 104 | |
| 11 | 2017 | 100 | |
| 12 | 2020 | 99 | |
| 13 | 2013 | 87 | |
| 14 | 2013 | 85 | |
| 15 | 2013 | 84 | |
| 16 | 2012 | 81 | |
| 17 | 2007 | 72 | |
| 18 | 2013 | 66 | |
| 19 | 2022 | 63 | |
| 20 | 2018 | 63 |
About Jing Wu
Jing Wu is a scholar working on Biotechnology, Molecular Biology, Nutrition and Dietetics, Biomedical Engineering and Pollution, having authored 212 papers that have together received 5.9k indexed citations. Recurring topics across this work include Enzyme Production and Characterization (103 papers), Biofuel production and bioconversion (40 papers), Microbial Metabolites in Food Biotechnology (34 papers), Microplastics and Plastic Pollution (30 papers), Enzyme Catalysis and Immobilization (29 papers), Enzyme Structure and Function (19 papers), biodegradable polymer synthesis and properties (18 papers) and Bacterial Genetics and Biotechnology (16 papers). The work is most often cited by research in Biotechnology (1.8k citations), Pollution (1.1k citations), Biomaterials (1.1k citations), Nutrition and Dietetics (803 citations) and Industrial and Manufacturing Engineering (325 citations). Jing Wu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Lingqia Su, Sheng Chen, Xuguo Duan, Jian Chen, Kang Zhang, Guocheng Du, Kiyoshi Hama, Toshio Kosaka, Ronald W. Woodard and Dan Wu. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Bioresource Technology, Journal of Biotechnology, Applied Microbiology and Biotechnology and Process Biochemistry.
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.