Jǔwǔ Gōng

2.4k total citations
59 papers, 1.1k citations indexed

About

Jǔwǔ Gōng is a scholar working on Plant Science, Molecular Biology and Endocrinology. According to data from OpenAlex, Jǔwǔ Gōng has authored 59 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Plant Science, 11 papers in Molecular Biology and 8 papers in Endocrinology. Recurrent topics in Jǔwǔ Gōng's work include Research in Cotton Cultivation (53 papers), Plant Virus Research Studies (15 papers) and Plant and Fungal Interactions Research (8 papers). Jǔwǔ Gōng is often cited by papers focused on Research in Cotton Cultivation (53 papers), Plant Virus Research Studies (15 papers) and Plant and Fungal Interactions Research (8 papers). Jǔwǔ Gōng collaborates with scholars based in China, United States and Pakistan. Jǔwǔ Gōng's co-authors include Wànkuí Gǒng, Qún Gě, Jùnwén Lǐ, Àiyīng Liú, Yùzhēn Shí, Hǎihóng Shāng, Yǒulù Yuán, Yǒulù Yuán, Quánwěi Lú and Pengtao Li and has published in prestigious journals such as PLoS ONE, Journal of Agricultural and Food Chemistry and International Journal of Molecular Sciences.

In The Last Decade

Jǔwǔ Gōng

54 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jǔwǔ Gōng China 19 936 213 132 70 60 59 1.1k
Daniel A. Ducasse Argentina 16 1.0k 1.1× 269 1.3× 81 0.6× 120 1.7× 22 0.4× 41 1.1k
Yezhang Ding United States 19 785 0.8× 481 2.3× 44 0.3× 41 0.6× 37 0.6× 31 1.0k
Anne‐Sophie Petitot France 19 765 0.8× 360 1.7× 52 0.4× 94 1.3× 208 3.5× 32 927
R. Velazhahan India 16 839 0.9× 212 1.0× 35 0.3× 211 3.0× 24 0.4× 50 917
Raúl Castanera Spain 16 658 0.7× 325 1.5× 20 0.2× 119 1.7× 258 4.3× 32 820
Yulin Cheng China 20 945 1.0× 611 2.9× 23 0.2× 140 2.0× 22 0.4× 46 1.2k
Guogui Ning China 19 520 0.6× 604 2.8× 27 0.2× 36 0.5× 39 0.7× 38 822
Matthew K. Gilbert United States 19 583 0.6× 303 1.4× 16 0.1× 156 2.2× 91 1.5× 37 772
Ou Sheng China 22 1.2k 1.3× 628 2.9× 25 0.2× 275 3.9× 27 0.5× 60 1.5k

Countries citing papers authored by Jǔwǔ Gōng

Since Specialization
Citations

This map shows the geographic impact of Jǔwǔ Gōng'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 Jǔwǔ Gōng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jǔwǔ Gōng more than expected).

Fields of papers citing papers by Jǔwǔ Gōng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jǔwǔ Gōng. 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 Jǔwǔ Gōng. The network helps show where Jǔwǔ Gōng may publish in the future.

Co-authorship network of co-authors of Jǔwǔ Gōng

This figure shows the co-authorship network connecting the top 25 collaborators of Jǔwǔ Gōng. A scholar is included among the top collaborators of Jǔwǔ Gōng 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 Jǔwǔ Gōng. Jǔwǔ Gōng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhao, Yanpeng, Hàoliàng Yán, Yamin Zhang, et al.. (2025). Genome-Wide Identification and Classification of Arabinogalactan Proteins Gene Family in Gossypium Species and GhAGP50 Increases Numbers of Epidermal Hairs in Arabidopsis. International Journal of Molecular Sciences. 26(9). 4159–4159.
2.
Yán, Hàoliàng, Jìngtāo Pān, Yang Li, et al.. (2025). Machine Learning-Driven Identification of Key Environmental Factors Influencing Fiber Yield and Quality Traits in Upland Cotton. Plants. 14(13). 2053–2053. 1 indexed citations
3.
Gōng, Jǔwǔ, Hàoliàng Yán, Yanpeng Zhao, et al.. (2025). Identification and overexpression of RNA‐decapping protein GhLSM1BS: Enhancing cotton somatic embryogenesis through up‐regulating brassinosteroid biosynthesis. Plant Biotechnology Journal. 23(7). 2670–2672.
4.
Gě, Qún, Xiaoyu Wang, Sobhi F. Lamlom, et al.. (2024). Elucidating the phenotypic basis of multi-environment stability for fiber yield and quality traits of cotton (Gossypium hirsutum L.) using 498 recombinant inbred lines. Industrial Crops and Products. 215. 118593–118593. 6 indexed citations
5.
Liu, Ruixian, Jǔwǔ Gōng, Jùnwén Lǐ, et al.. (2023). Hub Genes in Stable QTLs Orchestrate the Accumulation of Cottonseed Oil in Upland Cotton via Catalyzing Key Steps of Lipid-Related Pathways. International Journal of Molecular Sciences. 24(23). 16595–16595.
6.
Xiāo, Xiànghuī, Ruixian Liu, Jǔwǔ Gōng, et al.. (2023). Fine mapping and candidate gene analysis of qFL-A12-5: a fiber length-related QTL introgressed from Gossypium barbadense into Gossypium hirsutum. Theoretical and Applied Genetics. 136(3). 48–48. 7 indexed citations
7.
Xiāo, Xiànghuī, Jǔwǔ Gōng, Jùnwén Lǐ, et al.. (2023). Genetic linkage analysis of stable QTLs in Gossypium hirsutum RIL population revealed function of GhCesA4 in fiber development. Journal of Advanced Research. 65. 33–46. 9 indexed citations
8.
Wang, Yongbo, Pengtao Li, Wànkuí Gǒng, et al.. (2023). Genome-Wide Analysis and Functional Characterization of LACS Gene Family Associated with Lipid Synthesis in Cotton (Gossypium spp.). International Journal of Molecular Sciences. 24(10). 8530–8530. 9 indexed citations
9.
10.
Gōng, Jǔwǔ, Pengtao Li, Ping Liu, et al.. (2022). Multi-environment Evaluations Across Ecological Regions Reveal That the Kernel Oil Content of Cottonseed Is Equally Determined by Genotype and Environment. Journal of Agricultural and Food Chemistry. 70(8). 2529–2544. 4 indexed citations
11.
Wang, Xiaoyu, Xiaowei Zhang, Jǔwǔ Gōng, et al.. (2022). AAQSP increases mapping resolution of stable QTLs through applying NGS-BSA in multiple genetic backgrounds. Theoretical and Applied Genetics. 135(9). 3223–3235. 2 indexed citations
12.
13.
Fan, Senmiao, Àiyīng Liú, Xianyan Zou, et al.. (2021). Evolution of pectin synthesis relevant galacturonosyltransferase gene family and its expression during cotton fiber development. Journal of Cotton Research. 4(1). 7 indexed citations
14.
Palanga, Koffi Kibalou, Ruixian Liu, Qún Gě, et al.. (2021). Current advances in pathogen-plant interaction between Verticillium dahliae and cotton provide new insight in the disease management. Journal of Cotton Research. 4(1). 14 indexed citations
15.
Wang, Furong, Jingxia Zhang, Yu Chen, et al.. (2019). Identification of candidate genes for key fibre‐related QTLs and derivation of favourable alleles in Gossypium hirsutum recombinant inbred lines with G. barbadense introgressions. Plant Biotechnology Journal. 18(3). 707–720. 61 indexed citations
16.
Song, Weiwu, Mi Wang, Wei Su, et al.. (2017). Genetic and phenotypic effects of chromosome segments introgressed from Gossypium barbadense into Gossypium hirsutum. PLoS ONE. 12(9). e0184882–e0184882. 16 indexed citations
17.
Zhang, Zhen, Qún Gě, Àiyīng Liú, et al.. (2017). Construction of a High‐Density Genetic Map and Its Application to QTL Identification for Fiber Strength in Upland Cotton. Crop Science. 57(2). 774–788. 27 indexed citations
18.
Li, Junwen, Àiyīng Liú, Yùzhēn Shí, et al.. (2011). Identification of QTL for boll weight and lint percentage of upland cotton RIL population in multiple environments.. 9(3). 318–326. 1 indexed citations
19.
Li, Aiguo, Baocai Zhang, Guangping Liu, et al.. (2010). Phenotyping traits related to yield and quality of BC5 F2 substitution lines in cotton and their QTL mapping.. 8(2). 221–230. 2 indexed citations
20.
Li, Junwen, Àiyīng Liú, Jǔwǔ Gōng, et al.. (2010). Genetic effects and heterosis analysis for boll weight and lint percentage of transgenic Bacillus thuringiensis (Bt) upland cotton crossed with superior fibre quality accessions.. Mianhua xuebao. 22(2). 163–168. 1 indexed citations

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.

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