Yonnie Wu
Impact in
- Microbiology top 2%
- Antimicrobial Peptides and Activities
- Biotechnology top 5%
- Transgenic Plants and Applications
Papers in
-
- Microbial Metabolic Engineering and Bioproduction 5
- Enzyme Catalysis and Immobilization 3
-
- Biofuel production and bioconversion 5
- Co-authors
- Feng Chen (2 shared papers)Baoping Ji (1 shared paper)Xi Wang (1 shared paper)Bo Li (1 shared paper)Dilip M. Shah (1 shared paper)Aiguo Gao (1 shared paper)David Stark (1 shared paper)Caius M. Rommens (1 shared paper)
- Journals
- Bioresource Technology (3 papers)Journal of Applied Polymer Science (2 papers)Food Chemistry (2 papers)Langmuir (2 papers)BMC Cell Biology (2 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Yonnie Wu
29 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 110
- Microbiology 213
- Biotechnology 150
- Animal Science and Zoology 158
- Insect Science 150
- Molecular Biology 790
Countries citing papers authored by Yonnie Wu
This map shows the geographic impact of Yonnie 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 Yonnie Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yonnie Wu more than expected).
Fields of papers citing papers by Yonnie Wu
This network shows the impact of papers produced by Yonnie 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 Yonnie Wu. The network helps show where Yonnie Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yonnie 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 359 | |
| 2 | 2006 | 326 | |
| 3 | 2010 | 75 | |
| 4 | 2013 | 70 | |
| 5 | 2009 | 57 | |
| 6 | 2014 | 48 | |
| 7 | 2006 | 41 | |
| 8 | 2007 | 38 | |
| 9 | 2013 | 32 | |
| 10 | 2012 | 32 | |
| 11 | 2011 | 31 | |
| 12 | 2014 | 27 | |
| 13 | 2006 | 25 | |
| 14 | 2014 | 21 | |
| 15 | 2015 | 18 | |
| 16 | 2014 | 17 | |
| 17 | 2014 | 13 | |
| 18 | 2012 | 12 | |
| 19 | 2014 | 11 | |
| 20 | 2015 | 11 |
About Yonnie Wu
Yonnie Wu is a scholar working on Molecular Biology, Biomedical Engineering, Surgery, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism, having authored 29 papers that have together received 1.3k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (5 papers), Biofuel production and bioconversion (5 papers), Tissue Engineering and Regenerative Medicine (3 papers), Renin-Angiotensin System Studies (3 papers), Enzyme Catalysis and Immobilization (3 papers), Hormonal Regulation and Hypertension (3 papers), Aquaculture Nutrition and Growth (2 papers) and Meat and Animal Product Quality (2 papers). The work is most often cited by research in Microbiology (213 citations), Biotechnology (150 citations), Animal Science and Zoology (158 citations), Insect Science (150 citations) and Molecular Biology (790 citations). Yonnie Wu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Feng Chen, Baoping Ji, Xi Wang, Bo Li, Dilip M. Shah, Aiguo Gao, David Stark, Caius M. Rommens, Jihong Liang and Quaisar Ali. Their work appears in journals such as Bioresource Technology, Journal of Applied Polymer Science, Food Chemistry, Langmuir and BMC Cell 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.