Hai-Ling Yang

897 total citations
38 papers, 687 citations indexed

About

Hai-Ling Yang is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Hai-Ling Yang has authored 38 papers receiving a total of 687 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 14 papers in Plant Science and 6 papers in Genetics. Recurrent topics in Hai-Ling Yang's work include Glutathione Transferases and Polymorphisms (11 papers), Genomics, phytochemicals, and oxidative stress (7 papers) and Plant Molecular Biology Research (5 papers). Hai-Ling Yang is often cited by papers focused on Glutathione Transferases and Polymorphisms (11 papers), Genomics, phytochemicals, and oxidative stress (7 papers) and Plant Molecular Biology Research (5 papers). Hai-Ling Yang collaborates with scholars based in China, Sweden and United States. Hai-Ling Yang's co-authors include Qing‐Yin Zeng, Yan‐Jing Liu, Xue‐Min Han, Zhi‐Ling Yang, Yiming Wang, Qi Yang, Reheman Adili, Guangheng Zhu, Richard O. Hynes and John Freedman and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and PLANT PHYSIOLOGY.

In The Last Decade

Hai-Ling Yang

34 papers receiving 677 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hai-Ling Yang China 16 396 336 63 40 36 38 687
Cong Shi China 19 468 1.2× 546 1.6× 24 0.4× 35 0.9× 25 0.7× 39 1.1k
Yuanyuan Tan China 16 339 0.9× 709 2.1× 30 0.5× 82 2.0× 52 1.4× 52 973
Maria Giulia Egidi Italy 13 508 1.3× 386 1.1× 33 0.5× 12 0.3× 15 0.4× 17 933
Mohammad H. Khan India 12 170 0.4× 330 1.0× 17 0.3× 24 0.6× 22 0.6× 21 583
Xueliang Ren China 14 232 0.6× 553 1.6× 55 0.9× 23 0.6× 48 1.3× 41 681
Irfan Ali Pakistan 15 190 0.5× 435 1.3× 47 0.7× 79 2.0× 19 0.5× 44 796
Dianne B. Jennings United States 9 233 0.6× 291 0.9× 59 0.9× 13 0.3× 118 3.3× 11 677
Anna Papierniak Poland 12 223 0.6× 254 0.8× 18 0.3× 53 1.3× 19 0.5× 15 475
Christophe Gangneux France 11 153 0.4× 232 0.7× 10 0.2× 29 0.7× 25 0.7× 14 534
L.J. Parekh India 10 170 0.4× 299 0.9× 31 0.5× 36 0.9× 52 1.4× 16 510

Countries citing papers authored by Hai-Ling Yang

Since Specialization
Citations

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

Fields of papers citing papers by Hai-Ling Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hai-Ling Yang. 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 Hai-Ling Yang. The network helps show where Hai-Ling Yang may publish in the future.

Co-authorship network of co-authors of Hai-Ling Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Hai-Ling Yang. A scholar is included among the top collaborators of Hai-Ling Yang 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 Hai-Ling Yang. Hai-Ling Yang 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
2.
Guan, Cha‐Xiang, Yuexuan Zhang, Shiyi Wang, et al.. (2025). Identification of crucial genes sustaining the curled leaf phenotype in perennial transgenic poplar via advanced proteomic and phosphoproteomic analyses. Journal of Proteomics. 319. 105471–105471. 1 indexed citations
3.
Zhang, Xiu-Xing, Shiyi Wang, Yuwen Wang, et al.. (2025). PalCYCD3;3 breaks axillary bud dormancy and promotes shoot branching through activation by PalBES1 in the BR signaling pathway. Plant Physiology and Biochemistry. 225. 109993–109993.
4.
Yu, Huan, Hai-Ling Yang, Yuxin Zhang, et al.. (2024). Human identification of single hair shaft using a mass spectrometry mRNA typing system. Forensic Science International Genetics. 74. 103158–103158. 1 indexed citations
5.
Xu, Zixiang, et al.. (2024). Education and metabolic syndrome: a Mendelian randomization study. Frontiers in Nutrition. 11. 1477537–1477537.
6.
Liu, Zidong, Jiaqi Wang, Lishan Li, et al.. (2024). Identification of the body fluid donor in mixtures through target mRNA cSNP sequencing. Forensic Science International Genetics. 71. 103066–103066. 4 indexed citations
7.
Du, Xin, et al.. (2023). Study on the Interactions of Cyclins with CDKs Involved in Auxin Signal during Leaf Development by WGCNA in Populus alba. International Journal of Molecular Sciences. 24(17). 13445–13445. 4 indexed citations
8.
Xu, Nan, Xin Du, Xiu-Xing Zhang, & Hai-Ling Yang. (2023). The complete chloroplast genome of Salix lindleyana (salicaceae), a plateau plant species. SHILAP Revista de lepidopterología. 8(8). 877–881. 1 indexed citations
9.
He, Chengcheng, et al.. (2022). Study on the interaction preference between CYCD subclass and CDK family members at the poplar genome level. Scientific Reports. 12(1). 16805–16805. 8 indexed citations
10.
Yang, Hai-Ling, et al.. (2022). Design and Application of Health Education Apps Based on WeChat for Self-Management among Patients. Iranian Journal of Public Health. 51(5). 1020–1029. 5 indexed citations
11.
Xie, Tao, et al.. (2021). Non-synonymous substitution of evolutionarily conserved residue in Tau class glutathione transferases alters structural and catalytic features. International Journal of Biological Macromolecules. 197. 39–48. 6 indexed citations
12.
Xu, Hui, et al.. (2020). Biochemical Functions of Glutathione S-Transferase Family of Salix babylonica. Frontiers in Plant Science. 11. 364–364. 22 indexed citations
13.
Chen, Huimin, Yiming Wang, Hai-Ling Yang, Qing‐Yin Zeng, & Yan‐Jing Liu. (2019). NRAMP1 promotes iron uptake at the late stage of iron deficiency in poplars. Tree Physiology. 39(7). 1235–1250. 21 indexed citations
14.
Han, Xue‐Min, Zhi‐Ling Yang, Yan‐Jing Liu, Hai-Ling Yang, & Qing‐Yin Zeng. (2018). Genome-wide profiling of expression and biochemical functions of the Medicago glutathione S-transferase gene family. Plant Physiology and Biochemistry. 126. 126–133. 34 indexed citations
15.
Zhang, Yuanjie, Wei Wang, Hai-Ling Yang, et al.. (2015). Molecular Properties and Functional Divergence of the Dehydroascorbate Reductase Gene Family in Lower and Higher Plants. PLoS ONE. 10(12). e0145038–e0145038. 21 indexed citations
16.
Liu, Haijing, Xue‐Min Han, Zhi‐Ling Yang, et al.. (2015). Divergence in Enzymatic Activities in the Soybean GST Supergene Family Provides New Insight into the Evolutionary Dynamics of Whole-Genome Duplicates. Molecular Biology and Evolution. 32(11). 2844–2859. 56 indexed citations
17.
Yang, Hai-Ling, et al.. (2013). Functional divergence and catalytic properties of dehydroascorbate reductase family proteins from Populus tomentosa. Molecular Biology Reports. 40(8). 5105–5114. 25 indexed citations
18.
Yang, Hai-Ling, Reheman Adili, Guangheng Zhu, et al.. (2006). Fibrinogen and von Willebrand factor‐independent platelet aggregation in vitro and in vivo. Journal of Thrombosis and Haemostasis. 4(10). 2230–2237. 80 indexed citations
19.
Yang, Hai-Ling, et al.. (2004). Molecular cloning, expression and characterization of glutathione S-transferase from Mytilus edulis. Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 139(2). 175–182. 32 indexed citations
20.
Yang, Hai-Ling, et al.. (2003). Purification and characterization of a novel glutathione S-transferase from Atactodea striata. Biochemical and Biophysical Research Communications. 307(3). 626–631. 22 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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