Na Wei
Impact in
- Pollution top 2%
- Microplastics and Plastic Pollution
- Molecular Biology top 5%
- Microbial Metabolic Engineering and Bioproduction
- Fungal and yeast genetics research
- Glycosylation and Glycoproteins Research
- Enzyme Catalysis and Immobilization
Papers in ⓘ
- Pharmacology 12
- Ginger and Zingiberaceae research 8
- Pollution 14
- Co-authors
- Yong‐Su Jin (12 shared papers)Josh Quarterman (2 shared papers)Baotong Zhu (8 shared papers)Soo Rin Kim (6 shared papers)Dong Wang (1 shared paper)Eun Joong Oh (4 shared papers)Kevin T. Finneran (6 shared papers)J.H.D. Cate (2 shared papers)
- Journals
- PLoS ONE (6 papers)Trends in biotechnology (5 papers)Environmental Science & Technology (5 papers)Biotechnology and Bioengineering (3 papers)Pharmaceutical Biology (3 papers)
- Partner nations
- United StatesChinaTrinidad and Tobago
In The Last Decade
Na Wei
131 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 156
- Pollution 443
- Molecular Biology 2.4k
- Biomedical Engineering 1.3k
- Biomaterials 348
- Biotechnology 228
Countries citing papers authored by Na Wei
This map shows the geographic impact of Na Wei'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 Na Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Na Wei more than expected).
Fields of papers citing papers by Na Wei
This network shows the impact of papers produced by Na Wei. 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 Na Wei. The network helps show where Na Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Na Wei, 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 137 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 440 | |
| 2 | 2021 | 211 | |
| 3 | 2013 | 196 | |
| 4 | 2012 | 183 | |
| 5 | 2013 | 173 | |
| 6 | 2010 | 137 | |
| 7 | 2019 | 135 | |
| 8 | 2015 | 111 | |
| 9 | 2005 | 103 | |
| 10 | 2008 | 92 | |
| 11 | 2016 | 89 | |
| 12 | 2016 | 82 | |
| 13 | 2009 | 71 | |
| 14 | 2011 | 70 | |
| 15 | 2021 | 70 | |
| 16 | 2015 | 66 | |
| 17 | 2008 | 64 | |
| 18 | 2011 | 63 | |
| 19 | 2016 | 63 | |
| 20 | 2022 | 63 |
About Na Wei
Na Wei is a scholar working on Pharmacology, Pollution, Molecular Biology, Computer Science Applications and Cancer Research, having authored 137 papers that have together received 4.4k indexed citations. Recurring topics across this work include Biofuel production and bioconversion (17 papers), Microbial Metabolic Engineering and Bioproduction (15 papers), Glycosylation and Glycoproteins Research (10 papers), Fungal and yeast genetics research (10 papers), Insect Resistance and Genetics (9 papers), Ginger and Zingiberaceae research (8 papers), Insect symbiosis and bacterial influences (7 papers) and Carbohydrate Chemistry and Synthesis (7 papers). The work is most often cited by research in Pollution (443 citations), Molecular Biology (2.4k citations), Biomedical Engineering (1.3k citations), Biomaterials (348 citations) and Biotechnology (228 citations). Na Wei has collaborated with scholars based in United States, China and Trinidad and Tobago. Frequent co-authors include Yong‐Su Jin, Josh Quarterman, Baotong Zhu, Soo Rin Kim, Dong Wang, Eun Joong Oh, Kevin T. Finneran, J.H.D. Cate, Yingying Chen and Hys Ngan. Their work appears in journals such as PLoS ONE, Trends in biotechnology, Environmental Science & Technology, Biotechnology and Bioengineering and Pharmaceutical 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.