Hǎihóng Shāng

6.8k total citations
89 papers, 1.5k citations indexed

About

Hǎihóng Shāng is a scholar working on Plant Science, Molecular Biology and Endocrinology. According to data from OpenAlex, Hǎihóng Shāng has authored 89 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Plant Science, 25 papers in Molecular Biology and 9 papers in Endocrinology. Recurrent topics in Hǎihóng Shāng's work include Research in Cotton Cultivation (67 papers), Plant Virus Research Studies (21 papers) and Plant Molecular Biology Research (15 papers). Hǎihóng Shāng is often cited by papers focused on Research in Cotton Cultivation (67 papers), Plant Virus Research Studies (21 papers) and Plant Molecular Biology Research (15 papers). Hǎihóng Shāng collaborates with scholars based in China, Pakistan and United States. Hǎihóng Shāng's co-authors include Àiyīng Liú, Wànkuí Gǒng, Jǔwǔ Gōng, Yùzhēn Shí, Qún Gě, Jùnwén Lǐ, Yǒulù Yuán, Changsong Zou, Quánwěi Lú and Yǒulù Yuán and has published in prestigious journals such as PLoS ONE, Journal of Agricultural and Food Chemistry and Scientific Reports.

In The Last Decade

Hǎihóng Shāng

83 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hǎihóng Shāng China 24 1.3k 499 122 65 46 89 1.5k
Zhongli Zhou China 28 1.6k 1.2× 726 1.5× 120 1.0× 95 1.5× 26 0.6× 80 1.8k
Guoliang Li China 16 738 0.6× 526 1.1× 33 0.3× 53 0.8× 9 0.2× 74 1.1k
Maojun Wang China 27 1.9k 1.5× 1.1k 2.2× 293 2.4× 166 2.6× 22 0.5× 61 2.3k
Sanghyeob Lee South Korea 24 1.7k 1.3× 893 1.8× 26 0.2× 238 3.7× 32 0.7× 72 2.0k
Xinhua Zhang China 19 622 0.5× 698 1.4× 50 0.4× 40 0.6× 44 1.0× 57 1.0k
Karine David New Zealand 20 2.3k 1.8× 1.6k 3.2× 21 0.2× 44 0.7× 18 0.4× 36 2.6k
Ou Sheng China 22 1.2k 0.9× 628 1.3× 25 0.2× 32 0.5× 33 0.7× 60 1.5k
Haodong Chen China 29 2.4k 1.8× 1.8k 3.6× 29 0.2× 291 4.5× 43 0.9× 54 2.8k
Yǒulù Yuán China 17 893 0.7× 226 0.5× 107 0.9× 54 0.8× 19 0.4× 58 1.1k

Countries citing papers authored by Hǎihóng Shāng

Since Specialization
Citations

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

Fields of papers citing papers by Hǎihóng Shāng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hǎihóng Shāng

This figure shows the co-authorship network connecting the top 25 collaborators of Hǎihóng Shāng. A scholar is included among the top collaborators of Hǎihóng Shāng 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 Hǎihóng Shāng. Hǎihóng Shāng 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.
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
2.
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.
3.
Duan, Yanyan, et al.. (2025). Rhizosphere Microbiome and Nutrient Fluxes Reveal Subtle Biosafety Signals in Transgenic Cotton. Microorganisms. 13(12). 2702–2702.
4.
Li, Xianchang, Lipeng Zhang, Shiding Zhang, et al.. (2024). Detection of Verticillium infection in cotton leaves using ATR-FTIR spectroscopy coupled with machine learning algorithms. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 325. 125127–125127. 2 indexed citations
5.
Zheng, Yang, Menglei Wang, Senmiao Fan, et al.. (2024). GhPME36 aggravates susceptibility to Liriomyza sativae by affecting cell wall biosynthesis in cotton leaves. BMC Biology. 22(1). 197–197. 2 indexed citations
6.
Fan, Rui, Ting Zhao, Haojie Jiang, et al.. (2024). High-quality genome of Firmiana hainanensis provides insights into the evolution of Malvaceae subfamilies and the mechanism of their wood density formation. Journal of genetics and genomics. 52(6). 812–825. 1 indexed citations
7.
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.
8.
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
9.
10.
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
11.
Azhar, Muhammad Tehseen, Zhen Zhang, Senmiao Fan, et al.. (2022). UDP-glucose pyrophosphorylase: genome-wide identification, expression and functional analyses in Gossypium hirsutum. PeerJ. 10. e13460–e13460. 4 indexed citations
12.
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
13.
Dou, Lingling, Limin Lv, Yangyang Kang, et al.. (2021). Genome-wide identification and expression analysis of the GhIQD gene family in upland cotton (Gossypium hirsutum L.). Journal of Cotton Research. 4(1). 2 indexed citations
14.
Feng, Yulong, Àiyīng Liú, Senmiao Fan, et al.. (2021). Genome-wide identification, evolution, expression, and alternative splicing profiles of peroxiredoxin genes in cotton. PeerJ. 9. e10685–e10685. 4 indexed citations
15.
Zhang, Shuya, Tingting Jia, Zhen Zhang, et al.. (2019). Insight into the relationship between S-lignin and fiber quality based on multiple research methods. Plant Physiology and Biochemistry. 147. 251–261. 10 indexed citations
16.
Wang, Yongbo, Caihong Li, Hǎihóng Shāng, et al.. (2014). Study of Cotton Matured Fibre Quality and the Super-Molecular Structure in Upland Cotton RILs. Fibres and Textiles in Eastern Europe. 1 indexed citations
17.
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
18.
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
19.
Shāng, Hǎihóng, et al.. (2009). Histological and Ultrastructural Observation Reveals Significant Cellular Differences between Agrobacterium Transformed Embryogenic and Non‐embryogenic Calli of Cotton. Journal of Integrative Plant Biology. 51(5). 456–465. 27 indexed citations
20.
Shāng, Hǎihóng, et al.. (2009). Progress in mechanisms of cotton somatic embryogenesis.. Xibei zhiwu xuebao. 29(3). 637–642. 2 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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