Haiping Yu

1.4k total citations · 1 hit paper
26 papers, 1.1k citations indexed

About

Haiping Yu is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Haiping Yu has authored 26 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Plant Science and 8 papers in Genetics. Recurrent topics in Haiping Yu's work include Plant Molecular Biology Research (11 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers) and Computational Drug Discovery Methods (6 papers). Haiping Yu is often cited by papers focused on Plant Molecular Biology Research (11 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers) and Computational Drug Discovery Methods (6 papers). Haiping Yu collaborates with scholars based in China and United States. Haiping Yu's co-authors include Guangheng Zhang, Qian Qian, Jiang Hu, Dali Zeng, Li Zhu, Longbiao Guo, Guojun Dong, Jia Li, Zhenyuan Shi and Yunxia Fang and has published in prestigious journals such as PLANT PHYSIOLOGY, New Phytologist and Environmental Pollution.

In The Last Decade

Haiping Yu

26 papers receiving 1.1k citations

Hit Papers

A Rare Allele of GS2 Enhances Grain Size and Grain Yield ... 2015 2026 2018 2022 2015 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haiping Yu China 15 694 384 383 157 149 26 1.1k
Nobuto Irino Japan 14 216 0.3× 626 1.6× 234 0.6× 130 0.8× 5 0.0× 26 838
Pradeep Kumar Naik India 14 167 0.2× 295 0.8× 113 0.3× 48 0.3× 35 0.2× 28 524
Potshangbam Nongdam India 17 373 0.5× 367 1.0× 81 0.2× 117 0.7× 37 0.2× 38 676
Anna C.U. Lourens South Africa 13 398 0.6× 251 0.7× 13 0.0× 156 1.0× 45 0.3× 17 879
Prachi Anand United States 11 105 0.2× 211 0.5× 51 0.1× 61 0.4× 11 0.1× 15 639
Sumita Jha India 21 1.0k 1.5× 1.3k 3.3× 136 0.4× 108 0.7× 11 0.1× 115 1.7k
Wajid Waheed Bhat India 19 298 0.4× 918 2.4× 37 0.1× 167 1.1× 27 0.2× 37 1.2k
Montserrat Arró Spain 19 379 0.5× 1.3k 3.4× 18 0.0× 154 1.0× 26 0.2× 27 1.5k
Zhang‐Hua Sun China 20 185 0.3× 368 1.0× 45 0.1× 375 2.4× 6 0.0× 61 895
Marcelo Fridlender Israel 7 341 0.5× 239 0.6× 19 0.0× 106 0.7× 17 0.1× 9 618

Countries citing papers authored by Haiping Yu

Since Specialization
Citations

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

Fields of papers citing papers by Haiping Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiping Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Haiping Yu. A scholar is included among the top collaborators of Haiping Yu 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 Haiping Yu. Haiping Yu 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.
Yu, Haiping, An Wang, Guangheng Zhang, et al.. (2024). Rice AGL1 determines grain size and sterile lemma identity. The Crop Journal. 12(2). 630–634. 3 indexed citations
2.
Xin, Zengfeng, et al.. (2022). Treatment of Fracture of the Calcaneus via Bone Axial X-Ray Image-Based Minimally Invasive Approach. Computational and Mathematical Methods in Medicine. 2022. 1–7. 1 indexed citations
3.
Liu, He, Yuanjiang Cui, Haiping Yu, et al.. (2021). UDP‐N‐acetylglucosamine pyrophosphorylase enhances rice survival at high temperature. New Phytologist. 233(1). 344–359. 30 indexed citations
4.
Guo, Bin, Chen Liu, Yicheng Lin, et al.. (2021). Fruit extracts from Phyllanthus emblica accentuate cadmium tolerance and accumulation in Platycladus orientalis: A new natural chelate for phytoextraction. Environmental Pollution. 280. 116996–116996. 5 indexed citations
5.
Yu, Haiping, et al.. (2021). Development of an anti-infective coating on the surface of intraosseous implants responsive to enzymes and bacteria. Journal of Nanobiotechnology. 19(1). 241–241. 13 indexed citations
6.
Xu, Qiankun, Haiping Yu, Yuanjiang Cui, et al.. (2020). The C2H2 zinc-finger protein LACKING RUDIMENTARY GLUME 1 regulates spikelet development in rice. Science Bulletin. 65(9). 753–764. 20 indexed citations
7.
Ruan, Banpu, Zhihua Hua, Juan Zhao, et al.. (2018). OsACL‐A2 negatively regulates cell death and disease resistance in rice. Plant Biotechnology Journal. 17(7). 1344–1356. 61 indexed citations
8.
Yu, Haiping, Banpu Ruan, Zhongwei Wang, et al.. (2017). Fine Mapping of a Novel defective glume 1 (dg1) Mutant, Which Affects Vegetative and Spikelet Development in Rice. Frontiers in Plant Science. 8. 486–486. 8 indexed citations
9.
Zhang, Yu, Haiping Yu, Jin Liu, et al.. (2016). Loss of function of OsMADS34 leads to large sterile lemma and low grain yield in rice (Oryza sativa L.). Molecular Breeding. 36(11). 33 indexed citations
10.
Ren, Deyong, Yuchun Rao, Liwen Wu, et al.. (2015). The pleiotropic ABNORMAL FLOWER AND DWARF1 affects plant height, floral development and grain yield in rice. Journal of Integrative Plant Biology. 58(6). 529–539. 52 indexed citations
11.
Yu, Haiping, Deyong Ren, Yuexing Wang, et al.. (2015). MULTI-TILLERING DWARF1, a new allele of BRITTLE CULM 12, affects plant height and tiller in rice. Science Bulletin. 61(23). 1810–1817. 14 indexed citations
12.
Hu, Jiang, Yuexing Wang, Yunxia Fang, et al.. (2015). A Rare Allele of GS2 Enhances Grain Size and Grain Yield in Rice. Molecular Plant. 8(10). 1455–1465. 402 indexed citations breakdown →
13.
Fang, Yunxia, Jiang Hu, Jie Xu, et al.. (2014). Identification and characterization of Mini1, a gene regulating rice shoot development. Journal of Integrative Plant Biology. 57(2). 151–161. 15 indexed citations
14.
Huang, Wenhai, Dan Lv, Haiping Yu, et al.. (2010). Dual-target-directed 1,3-diphenylurea derivatives: BACE 1 inhibitor and metal chelator against Alzheimer’s disease. Bioorganic & Medicinal Chemistry. 18(15). 5610–5615. 49 indexed citations
15.
Zhu, Yiping, Kun Xiao, Lanping Ma, et al.. (2009). Design, synthesis and biological evaluation of novel dual inhibitors of acetylcholinesterase and β-secretase. Bioorganic & Medicinal Chemistry. 17(4). 1600–1613. 84 indexed citations
16.
Zhu, Yiping, Kun Xiao, Haiping Yu, et al.. (2009). Discovery of potent β-secretase (bace-1) inhibitors by the synthesis of isophthalamide-containing hybrids. Acta Pharmacologica Sinica. 30(2). 259–269. 5 indexed citations
17.
Li, Jia, et al.. (2009). Anti-SARS coronavirus 3C-like protease effects of Rheum palmatum L. extracts.. PubMed. 3(4). 124–6. 52 indexed citations
18.
Shi, Lei, et al.. (2008). Discovery of a novel competitive inhibitor of PTP1B by high-throughput screening. Acta Pharmacologica Sinica. 29(2). 278–284. 67 indexed citations
19.
Xiao, Kun, Xin Li, Jingya Li, et al.. (2006). Design, synthesis, and evaluation of Leu∗Ala hydroxyethylene-based non-peptide β-secretase (BACE) inhibitors. Bioorganic & Medicinal Chemistry. 14(13). 4535–4551. 10 indexed citations
20.
Hu, Bin, Bing Xiong, Beiying Qiu, et al.. (2006). Construction of a small peptide library related to inhibitor OM99-2 and its structure-activity relationship to ?-secretase. Acta Pharmacologica Sinica. 27(12). 1586–1593. 9 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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