Shoujun Wei
Impact in
- Plant Science top 2%
- Research in Cotton Cultivation
- Plant Stress Responses and Tolerance
- Chromosomal and Genetic Variations
- Plant Molecular Biology Research
- Plant-Microbe Interactions and Immunity
Papers in
-
- Research in Cotton Cultivation 8
-
- Analytical chemistry methods development 1
- Co-authors
- Dayun Zhou (8 shared papers)Meng Kuang (8 shared papers)Lei Ma (5 shared papers)Dan Fang (5 shared papers)Shuangjiao Xu (4 shared papers)Weihua Yang (4 shared papers)Yanqin Wang (2 shared papers)Shuang‐kui Du (1 shared paper)
- Journals
- Journal of Integrative Agriculture (2 papers)Journal of Integrative Plant Biology (1 paper)Fuel (1 paper)Physiologia Plantarum (1 paper)Journal of Separation Science (1 paper)
- Partner nations
- ChinaUnited StatesPakistan
In The Last Decade
Shoujun Wei
12 papers receiving 1.1k citations
Shoujun Wei's Hit Papers
Peers
Comparison fields: 5 of 42
- Plant Science 887
- Biochemistry 17
- Biomedical Engineering 99
- Molecular Biology 147
- Analytical Chemistry 22
Countries citing papers authored by Shoujun Wei
This map shows the geographic impact of Shoujun 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 Shoujun Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shoujun Wei more than expected).
Fields of papers citing papers by Shoujun Wei
This network shows the impact of papers produced by Shoujun 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 Shoujun Wei. The network helps show where Shoujun Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Shoujun 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
| # | Work | ||
|---|---|---|---|
| 1 | Genome sequence of cultivated Upland cotton (Gossypium hirsutum TM-1) provides insights into genome evolution Hit paper breakdown → | 2015 | 914 |
| 2 | 2016 | 106 | |
| 3 | 2016 | 50 | |
| 4 | 2016 | 22 | |
| 5 | 2018 | 20 | |
| 6 | 2016 | 18 | |
| 7 | 2021 | 10 | |
| 8 | 2020 | 9 | |
| 9 | 2016 | 5 | |
| 10 | 2021 | 5 | |
| 11 | 2023 | 3 | |
| 12 | 2015 | 2 |
About Shoujun Wei
Shoujun Wei is a scholar working on Plant Science, Analytical Chemistry, Organic Chemistry, Biomedical Engineering and Materials Chemistry, having authored 12 papers that have together received 1.2k indexed citations. Recurring topics across this work include Research in Cotton Cultivation (8 papers), Nanomaterials for catalytic reactions (1 paper), Advanced Nanomaterials in Catalysis (1 paper), Biofuel production and bioconversion (1 paper) and Analytical chemistry methods development (1 paper). The work is most often cited by research in Plant Science (887 citations), Biochemistry (17 citations), Biomedical Engineering (99 citations), Molecular Biology (147 citations) and Analytical Chemistry (22 citations). Shoujun Wei has collaborated with scholars based in China, United States and Pakistan. Frequent co-authors include Dayun Zhou, Meng Kuang, Lei Ma, Dan Fang, Shuangjiao Xu, Weihua Yang, Yanqin Wang, Shuang‐kui Du, Meixia Wang and Yanqin Wang. Their work appears in journals such as Journal of Integrative Agriculture, Journal of Integrative Plant Biology, Fuel, Physiologia Plantarum and Journal of Separation Science.
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.