Hàoliàng Yán

640 total citations
20 papers, 292 citations indexed

About

Hàoliàng Yán is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Molecular Biology. According to data from OpenAlex, Hàoliàng Yán has authored 20 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Plant Science, 6 papers in Ecology, Evolution, Behavior and Systematics and 5 papers in Molecular Biology. Recurrent topics in Hàoliàng Yán's work include Research in Cotton Cultivation (8 papers), Rice Cultivation and Yield Improvement (8 papers) and Climate change impacts on agriculture (6 papers). Hàoliàng Yán is often cited by papers focused on Research in Cotton Cultivation (8 papers), Rice Cultivation and Yield Improvement (8 papers) and Climate change impacts on agriculture (6 papers). Hàoliàng Yán collaborates with scholars based in China, Australia and United States. Hàoliàng Yán's co-authors include Xiaohai Tian, Yunbo Zhang, Ke Liu, Matthew Tom Harrison, De Li Liu, Meixue Zhou, Holger Meinke, Rui Yang, Puyu Feng and Sotirios V. Archontoulis and has published in prestigious journals such as The Science of The Total Environment, International Journal of Molecular Sciences and Frontiers in Plant Science.

In The Last Decade

Hàoliàng Yán

15 papers receiving 290 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hàoliàng Yán China 10 220 84 52 41 35 20 292
Ahmed Ibrahim Australia 9 259 1.2× 95 1.1× 70 1.3× 14 0.3× 43 1.2× 24 351
Aibin He China 10 362 1.6× 71 0.8× 66 1.3× 37 0.9× 12 0.3× 18 431
Rubí Raymundo United States 9 358 1.6× 149 1.8× 72 1.4× 17 0.4× 36 1.0× 14 511
Apurbo Kumar Chaki Bangladesh 10 298 1.4× 87 1.0× 73 1.4× 22 0.5× 17 0.5× 27 377
Vara Prasad United States 6 226 1.0× 69 0.8× 112 2.2× 14 0.3× 35 1.0× 8 306
Jakarat Anothai Thailand 10 283 1.3× 147 1.8× 92 1.8× 23 0.6× 52 1.5× 25 361
Yubin Yang United States 10 326 1.5× 62 0.7× 20 0.4× 102 2.5× 34 1.0× 22 401
Michiel E. de Vries Netherlands 12 457 2.1× 137 1.6× 26 0.5× 47 1.1× 43 1.2× 27 532
Meikun Han China 8 251 1.1× 42 0.5× 97 1.9× 49 1.2× 29 0.8× 12 342
Jiyoung Shon South Korea 8 266 1.2× 129 1.5× 45 0.9× 19 0.5× 21 0.6× 33 301

Countries citing papers authored by Hàoliàng Yán

Since Specialization
Citations

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

Fields of papers citing papers by Hàoliàng Yán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hàoliàng Yán

This figure shows the co-authorship network connecting the top 25 collaborators of Hàoliàng Yán. A scholar is included among the top collaborators of Hàoliàng Yán 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 Hàoliàng Yán. Hàoliàng Yán 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.
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.
5.
Xu, Nan, Doudou Zhang, Xu Han, et al.. (2025). Coenzyme Q GhCoQ9 enhanced the salt resistance by preserving the homeostasis of mitochondrial in upland cotton. Plant Physiology and Biochemistry. 224. 109909–109909.
6.
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
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.
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
10.
Yang, Rui, Bin Wang, Jin Tao, et al.. (2022). Over-Optimistic Projected Future Wheat Yield Potential in the North China Plain: The Role of Future Climate Extremes. Agronomy. 12(1). 145–145. 9 indexed citations
11.
He, Qinsi, De Li Liu, Bin Wang, et al.. (2022). Identifying effective agricultural management practices for climate change adaptation and mitigation: A win-win strategy in South-Eastern Australia. Agricultural Systems. 203. 103527–103527. 22 indexed citations
12.
Liu, Ke, Matthew Tom Harrison, Bin Wang, et al.. (2022). Designing high-yielding wheat crops under late sowing: a case study in southern China. Agronomy for Sustainable Development. 42(2). 32 indexed citations
13.
14.
Liu, Ke, Matthew Tom Harrison, Sotirios V. Archontoulis, et al.. (2021). Climate change shifts forward flowering and reduces crop waterlogging stress. Environmental Research Letters. 16(9). 94017–94017. 65 indexed citations
15.
Yán, Hàoliàng, Matthew Tom Harrison, Ke Liu, et al.. (2021). Crop traits enabling yield gains under more frequent extreme climatic events. The Science of The Total Environment. 808. 152170–152170. 54 indexed citations
16.
Yán, Hàoliàng, et al.. (2018). Seed-Set of Large-Panicle Rice Cultivars Suffered from High Temperature at Anthesis. Zhongguo nongye qixiang. 39(2). 84. 1 indexed citations
17.
Yán, Hàoliàng, et al.. (2017). Impacts of prolonged high temperature on heavy-panicle rice varieties in the field. Chilean journal of agricultural research. 77(2). 102–109. 6 indexed citations
18.
Zhang, Wenying, Yunbo Zhang, Hàoliàng Yán, et al.. (2017). iTRAQ-Based Quantitative Proteomics Analysis on Rice Anther Responding to High Temperature. International Journal of Molecular Sciences. 18(9). 1811–1811. 35 indexed citations
19.
Yán, Hàoliàng, Binglin Zhang, Yunbo Zhang, et al.. (2017). High Temperature Induced Glume Closure Resulted in Lower Fertility in Hybrid Rice Seed Production. Frontiers in Plant Science. 7. 1960–1960. 27 indexed citations
20.
Yán, Hàoliàng, et al.. (2015). Out-crossing seed setting rate was seriously reduced by high-temperature in hybrid rice seed production under field conditions.. Zhongguo shuidao kexue. 29(1). 106–110. 3 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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