Shumin Wang
Impact in
- Aquatic Science top 10%
- Seaweed-derived Bioactive Compounds
-
- Enzyme Production and Characterization
Papers in
-
- Advanced biosensing and bioanalysis techniques 10
- CRISPR and Genetic Engineering 4
- RNA Interference and Gene Delivery 4
- Fungal and yeast genetics research 2
- Co-authors
- Jing‐Juan Xu (9 shared papers)Hong‐Yuan Chen (9 shared papers)Wenjun Han (2 shared papers)Fuchuan Li (3 shared papers)Fayin Ye (1 shared paper)Guohua Zhao (1 shared paper)Dandan Lei (1 shared paper)Ziyuan Zhao (1 shared paper)
- Journals
- Analytical Chemistry (4 papers)Analytica Chimica Acta (2 papers)Talanta (2 papers)International Journal of Machine Learning and Cybernetics (1 paper)Journal of the American Chemical Society (1 paper)
- Partner nations
- ChinaUnited StatesNigeria
In The Last Decade
Shumin Wang
27 papers receiving 367 citations
Peers
Comparison fields: 5 of 85
- Aquatic Science 41
- Biotechnology 44
- Molecular Biology 202
- Industrial and Manufacturing Engineering 18
- Cell Biology 33
Countries citing papers authored by Shumin Wang
This map shows the geographic impact of Shumin Wang'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 Shumin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shumin Wang more than expected).
Fields of papers citing papers by Shumin Wang
This network shows the impact of papers produced by Shumin Wang. 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 Shumin Wang. The network helps show where Shumin Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Shumin Wang, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 42 | |
| 2 | 2019 | 40 | |
| 3 | 2021 | 34 | |
| 4 | 2018 | 32 | |
| 5 | 2023 | 28 | |
| 6 | 2022 | 28 | |
| 7 | 2016 | 26 | |
| 8 | 2019 | 21 | |
| 9 | 2018 | 16 | |
| 10 | 2024 | 13 | |
| 11 | 2022 | 12 | |
| 12 | 2019 | 12 | |
| 13 | 2022 | 10 | |
| 14 | 2021 | 8 | |
| 15 | 2023 | 7 | |
| 16 | 2024 | 7 | |
| 17 | 2022 | 6 | |
| 18 | 2024 | 5 | |
| 19 | 2015 | 5 | |
| 20 | 2017 | 4 |
About Shumin Wang
Shumin Wang is a scholar working on Molecular Biology, Plant Science, Biomedical Engineering, Materials Chemistry and Aerospace Engineering, having authored 34 papers that have together received 369 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (10 papers), CRISPR and Genetic Engineering (4 papers), RNA Interference and Gene Delivery (4 papers), Gold and Silver Nanoparticles Synthesis and Applications (3 papers), Fungal and yeast genetics research (2 papers), Enzyme Production and Characterization (2 papers), Carbohydrate Chemistry and Synthesis (2 papers) and Biosensors and Analytical Detection (2 papers). The work is most often cited by research in Aquatic Science (41 citations), Biotechnology (44 citations), Molecular Biology (202 citations), Industrial and Manufacturing Engineering (18 citations) and Cell Biology (33 citations). Shumin Wang has collaborated with scholars based in China, United States and Nigeria. Frequent co-authors include Jing‐Juan Xu, Hong‐Yuan Chen, Wenjun Han, Fuchuan Li, Fayin Ye, Guohua Zhao, Dandan Lei, Ziyuan Zhao, Jingwen Guan and Hui Wang. Their work appears in journals such as Analytical Chemistry, Analytica Chimica Acta, Talanta, International Journal of Machine Learning and Cybernetics and Journal of the American Chemical Society.
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.