Deshui Zhang
Impact in
- Biotechnology top 10%
- Transgenic Plants and Applications
- Plant Science top 10%
- Research in Cotton Cultivation
- Plant nutrient uptake and metabolism
- Plant Molecular Biology Research
- Plant Virus Research Studies
- Polysaccharides and Plant Cell Walls
Papers in
-
- Research in Cotton Cultivation 3
- Soybean genetics and cultivation 2
- Genetic and Environmental Crop Studies 1
-
- Transgenic Plants and Applications 3
- Co-authors
- Candace H. Haigler (4 shared papers)Curtis Gene Wilkerson (1 shared paper)Steve C. Pettit (4 shared papers)Guirong Wang (1 shared paper)Jennica L. Zaro (2 shared papers)Wei‐Chiang Shen (2 shared papers)Paula Marie Bryan (1 shared paper)Ning Huang (1 shared paper)
- Journals
- Plant Molecular Biology (2 papers)Physiologia Plantarum (1 paper)Genome (1 paper)Journal of Inorganic Biochemistry (1 paper)Protein Expression and Purification (1 paper)
- Partner nations
- United StatesSouth KoreaAustralia
In The Last Decade
Deshui Zhang
13 papers receiving 406 citations
Peers
Comparison fields: 5 of 55
- Biotechnology 68
- Plant Science 291
- Endocrinology 18
- Biomaterials 44
- Molecular Biology 189
Countries citing papers authored by Deshui Zhang
This map shows the geographic impact of Deshui Zhang'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 Deshui Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deshui Zhang more than expected).
Fields of papers citing papers by Deshui Zhang
This network shows the impact of papers produced by Deshui Zhang. 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 Deshui Zhang. The network helps show where Deshui Zhang may publish in the future.
Co-authors
The 25 scholars most cited alongside Deshui Zhang, 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 | 2005 | 84 | |
| 2 | 2007 | 76 | |
| 3 | 2004 | 68 | |
| 4 | 2010 | 45 | |
| 5 | 2006 | 40 | |
| 6 | 2009 | 32 | |
| 7 | 2012 | 24 | |
| 8 | 2014 | 20 | |
| 9 | 2018 | 13 | |
| 10 | 2012 | 10 | |
| 11 | 1997 | 6 | |
| 12 | 2014 | 6 | |
| 13 | Segregation distortion of RFLP markers in F_(2) population of cultivated/semi-wild soybean and the causal analysis | 1997 | 4 |
About Deshui Zhang
Deshui Zhang is a scholar working on Plant Science, Biotechnology, Hematology, Molecular Biology and Endocrinology, having authored 13 papers that have together received 428 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (4 papers), Research in Cotton Cultivation (3 papers), Transgenic Plants and Applications (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Iron Metabolism and Disorders (2 papers), Plant tissue culture and regeneration (2 papers), Soybean genetics and cultivation (2 papers) and Genetic and Environmental Crop Studies (1 paper). The work is most often cited by research in Biotechnology (68 citations), Plant Science (291 citations), Endocrinology (18 citations), Biomaterials (44 citations) and Molecular Biology (189 citations). Deshui Zhang has collaborated with scholars based in United States, South Korea and Australia. Frequent co-authors include Candace H. Haigler, Curtis Gene Wilkerson, Steve C. Pettit, Guirong Wang, Jennica L. Zaro, Wei‐Chiang Shen, Paula Marie Bryan, Ning Huang, Diane Duyen Thuy Nguyen and Chunhua Wan. Their work appears in journals such as Plant Molecular Biology, Physiologia Plantarum, Genome, Journal of Inorganic Biochemistry and Protein Expression and Purification.
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.