Wei Su
Impact in
- Biotechnology top 1%
- Transgenic Plants and Applications
- Microbial Metabolism and Applications
- Food Science top 2%
- Fermentation and Sensory Analysis
- Food Quality and Safety Studies
Papers in
-
- Plant tissue culture and regeneration 12
- Viral Infectious Diseases and Gene Expression in Insects 7
- RNA and protein synthesis mechanisms 5
-
- Transgenic Plants and Applications 14
- Co-authors
- Yingchun Mu (15 shared papers)Yu Mu (5 shared papers)Li Jiang (5 shared papers)Chi Zhao (4 shared papers)Zhenlin Han (16 shared papers)Tao Ren (4 shared papers)Jianwei Lü (4 shared papers)Robert C. Bugos (4 shared papers)
- Journals
- Frontiers in Microbiology (5 papers)Journal of Biotechnology (5 papers)Biotechnology and Bioengineering (5 papers)Clinica Chimica Acta (3 papers)Scientific Reports (3 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Wei Su
113 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 142
- Biotechnology 420
- Food Science 558
- Pathology and Forensic Medicine 293
- Biochemistry 100
- Soil Science 140
Countries citing papers authored by Wei Su
This map shows the geographic impact of Wei Su'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 Wei Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Su more than expected).
Fields of papers citing papers by Wei Su
This network shows the impact of papers produced by Wei Su. 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 Wei Su. The network helps show where Wei Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Su, 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 122 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 157 | |
| 2 | 2015 | 102 | |
| 3 | 2014 | 93 | |
| 4 | 2014 | 84 | |
| 5 | 1995 | 83 | |
| 6 | 2003 | 71 | |
| 7 | 2020 | 68 | |
| 8 | 2001 | 67 | |
| 9 | 2012 | 66 | |
| 10 | 2008 | 65 | |
| 11 | 2018 | 62 | |
| 12 | 2022 | 60 | |
| 13 | 2016 | 55 | |
| 14 | 2010 | 53 | |
| 15 | 2018 | 51 | |
| 16 | 2023 | 49 | |
| 17 | 2022 | 49 | |
| 18 | 2021 | 45 | |
| 19 | 2001 | 38 | |
| 20 | 2020 | 37 |
About Wei Su
Wei Su is a scholar working on Molecular Biology, Biotechnology, Food Science, Pathology and Forensic Medicine and Plant Science, having authored 122 papers that have together received 2.6k indexed citations. Recurring topics across this work include Transgenic Plants and Applications (14 papers), Plant tissue culture and regeneration (12 papers), Meat and Animal Product Quality (11 papers), Fermentation and Sensory Analysis (11 papers), Viral Infectious Diseases and Gene Expression in Insects (7 papers), Probiotics and Fermented Foods (7 papers), Tea Polyphenols and Effects (6 papers) and RNA and protein synthesis mechanisms (5 papers). The work is most often cited by research in Biotechnology (420 citations), Food Science (558 citations), Pathology and Forensic Medicine (293 citations), Biochemistry (100 citations) and Soil Science (140 citations). Wei Su has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Yingchun Mu, Yu Mu, Li Jiang, Chi Zhao, Zhenlin Han, Tao Ren, Jianwei Lü, Robert C. Bugos, Huidong Shi and Rihuan Cong. Their work appears in journals such as Frontiers in Microbiology, Journal of Biotechnology, Biotechnology and Bioengineering, Clinica Chimica Acta and Scientific Reports.
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.