Wànkuí Gǒng
- Plant Science top 2%
- Molecular Biology
- Genetics
- Endocrinology top 5%
- Cell Biology
- Topics
- Research in Cotton Cultivation (50 papers)Plant Virus Research Studies (19 papers)Plant and Fungal Interactions Research (8 papers)
- Journals
- PLoS ONEJournal of Agricultural and Food ChemistryInternational Journal of Molecular Sciences
- Partner nations
- ChinaPakistanUnited States
In The Last Decade
Wànkuí Gǒng
62 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 92
- Plant Science 1.1k
- Molecular Biology 418
- Genetics 158
- Endocrinology 114
- Cell Biology 83
Countries citing papers authored by Wànkuí Gǒng
This map shows the geographic impact of Wànkuí Gǒng'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 Wànkuí Gǒng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wànkuí Gǒng more than expected).
Fields of papers citing papers by Wànkuí Gǒng
This network shows the impact of papers produced by Wànkuí Gǒng. 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 Wànkuí Gǒng. The network helps show where Wànkuí Gǒng may publish in the future.
Co-authorship network of co-authors of Wànkuí Gǒng
This figure shows the co-authorship network connecting the top 25 collaborators of Wànkuí Gǒng. A scholar is included among the top collaborators of Wànkuí Gǒng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wànkuí Gǒng. Wànkuí Gǒng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 0 | |
| 5 | 14 | |
| 6 | 7 | |
| 7 | 9 | |
| 8 | 9 | |
| 9 | 4 | |
| 10 | 4 | |
| 11 | 7 | |
| 12 | 14 | |
| 13 | 34 | |
| 14 | 16 | |
| 15 | 27 | |
| 16 | A Meta-Analysis of the Use of Genetically Modified Cotton and Its Conventional in Agronomy Aspect and Economic Merits | 1 |
| 17 | Identification of QTL for boll weight and lint percentage of upland cotton RIL population in multiple environments. | 1 |
| 18 | Phenotyping traits related to yield and quality of BC5 F2 substitution lines in cotton and their QTL mapping. | 2 |
| 19 | Genetic effects and heterosis analysis for boll weight and lint percentage of transgenic Bacillus thuringiensis (Bt) upland cotton crossed with superior fibre quality accessions. | 1 |
| 20 | 16 |
About Wànkuí Gǒng
Wànkuí Gǒng is a scholar working on Plant Science, Endocrinology and Horticulture, having authored 65 papers that have together received 1.4k indexed citations. Recurring topics across this work include Research in Cotton Cultivation (50 papers), Plant Virus Research Studies (19 papers) and Plant and Fungal Interactions Research (8 papers). The work is most often cited by research in Plant Science (1.1k citations), Horticulture (27 citations) and Endocrinology (114 citations). Wànkuí Gǒng has collaborated with scholars based in China, Pakistan and United States. Frequent co-authors include Jǔwǔ Gōng, Qún Gě, Jùnwén Lǐ, Yùzhēn Shí, Àiyīng Liú, Hǎihóng Shāng, Yǒulù Yuán, Yǒulù Yuán, Quánwěi Lú and Abdul Razzaq. Their work appears in journals such as PLoS ONE, Journal of Agricultural and Food Chemistry and International Journal of Molecular Sciences.
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.