Yulin Wang

1.5k total citations
33 papers, 698 citations indexed

About

Yulin Wang is a scholar working on Plant Science, Molecular Biology and Food Science. According to data from OpenAlex, Yulin Wang has authored 33 papers receiving a total of 698 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Plant Science, 10 papers in Molecular Biology and 5 papers in Food Science. Recurrent topics in Yulin Wang's work include Plant Stress Responses and Tolerance (11 papers), Wheat and Barley Genetics and Pathology (6 papers) and Plant Gene Expression Analysis (6 papers). Yulin Wang is often cited by papers focused on Plant Stress Responses and Tolerance (11 papers), Wheat and Barley Genetics and Pathology (6 papers) and Plant Gene Expression Analysis (6 papers). Yulin Wang collaborates with scholars based in China, United States and Estonia. Yulin Wang's co-authors include Hongjun Yuan, Xingquan Zeng, Nyima Tashi, Qijun Xu, Zha Sang, Fayin Ye, Guohua Zhao, Jia Chen, Damao Wang and Yonglin He and has published in prestigious journals such as PLoS ONE, Journal of Agricultural and Food Chemistry and Scientific Reports.

In The Last Decade

Yulin Wang

33 papers receiving 689 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yulin Wang China 16 483 248 85 67 41 33 698
Aifen Tao China 15 407 0.8× 262 1.1× 106 1.2× 40 0.6× 83 2.0× 58 637
Tomas Hasing United States 11 349 0.7× 171 0.7× 74 0.9× 29 0.4× 30 0.7× 21 513
Qinghe Cao China 21 719 1.5× 455 1.8× 102 1.2× 100 1.5× 80 2.0× 58 1.0k
Lingzhen Ye China 16 724 1.5× 191 0.8× 100 1.2× 118 1.8× 52 1.3× 43 867
Akula Nookaraju South Korea 15 1.1k 2.3× 418 1.7× 103 1.2× 57 0.9× 32 0.8× 28 1.2k
Kaimian Li China 20 829 1.7× 406 1.6× 89 1.0× 95 1.4× 44 1.1× 68 1.1k
Xue Bai China 15 205 0.4× 237 1.0× 133 1.6× 69 1.0× 99 2.4× 46 578
Summar Abbas Naqvi Pakistan 14 423 0.9× 101 0.4× 163 1.9× 55 0.8× 30 0.7× 41 573
Hyeong‐Un Lee South Korea 14 440 0.9× 220 0.9× 107 1.3× 52 0.8× 35 0.9× 52 638
Nan Hu China 14 662 1.4× 450 1.8× 34 0.4× 62 0.9× 38 0.9× 38 846

Countries citing papers authored by Yulin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yulin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yulin Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yulin Wang. A scholar is included among the top collaborators of Yulin Wang 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 Yulin Wang. Yulin Wang 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.
2.
Wang, Yulin, Xiaoya Lin, Haiyang Li, et al.. (2024). Post-Flowering Photoperiod Sensitivity of Soybean in Pod-Setting Responses. Biology. 13(11). 868–868. 1 indexed citations
3.
He, Jing, et al.. (2023). Lipidomic and proteomic profiling identifies the milk fat globule membrane composition of milk from cows and camels. Food Research International. 179. 113816–113816. 5 indexed citations
4.
Wang, Yulin, Heng Li, Qijun Xu, et al.. (2023). Identification of a novel transcription factor under long-term drought resistance in highland barley: a DNA affinity purification sequencing-based transcriptomic analysis. Chemical and Biological Technologies in Agriculture. 10(1). 12 indexed citations
5.
Yu, Kuohai, Lingling Wei, Hongjun Yuan, et al.. (2022). Genetic architecture of inducible and constitutive metabolic profile related to drought resistance in qingke (Tibetan hulless barley). Frontiers in Plant Science. 13. 1076000–1076000. 8 indexed citations
6.
Xu, Congping, Chuansong Zhan, Qijun Xu, et al.. (2022). Resistance to Powdery Mildew in Qingke Involves the Accumulation of Aromatic Phenolamides Through Jasmonate-Mediated Activation of Defense-Related Genes. Frontiers in Plant Science. 13. 9 indexed citations
7.
Wang, Shuya, Bin Zhou, Yingbin Shen, et al.. (2021). Effect of ultrasonic pretreatment on the emulsification properties of Clanis Bilineata Tingtauica Mell protein. Ultrasonics Sonochemistry. 80. 105823–105823. 27 indexed citations
8.
9.
Yang, Haizhen, et al.. (2020). Comparative metabolomics analysis of the response to cold stress of resistant and susceptible Tibetan hulless barley (Hordeum distichon). Phytochemistry. 174. 112346–112346. 47 indexed citations
10.
Zhang, Guoqiang, Wenhua Xue, Jie Dai, et al.. (2019). Quantitative proteomics analysis reveals proteins and pathways associated with anthocyanin accumulation in barley. Food Chemistry. 298. 124973–124973. 24 indexed citations
11.
Yuan, Hongjun, Xingquan Zeng, Jian Shi, et al.. (2018). Time-Course Comparative Metabolite Profiling under Osmotic Stress in Tolerant and Sensitive Tibetan Hulless Barley. BioMed Research International. 2018. 1–12. 66 indexed citations
12.
Yuan, Hongjun, Xingquan Zeng, Qiaofeng Yang, et al.. (2018). Gene coexpression network analysis combined with metabonomics reveals the resistance responses to powdery mildew in Tibetan hulless barley. Scientific Reports. 8(1). 14928–14928. 40 indexed citations
13.
Yuan, Hongjun, Xingquan Zeng, Zhihao Ling, et al.. (2017). Transcriptome profiles reveal cold acclimation and freezing tolerance of susceptible and tolerant hulless barley genotypes. Acta Physiologiae Plantarum. 39(12). 15 indexed citations
14.
Xu, Qijun, Xingquan Zeng, Bin Lin, et al.. (2017). A microsatellite diversity analysis and the development of core-set germplasm in a large hulless barley (Hordeum vulgare L.) collection. BMC Genetics. 18(1). 102–102. 17 indexed citations
15.
Zeng, Xingquan, Lijun Bai, Zexiu Wei, et al.. (2016). Transcriptome analysis revealed the drought-responsive genes in Tibetan hulless barley. BMC Genomics. 17(1). 386–386. 65 indexed citations
16.
Wei, Zexiu, Xingquan Zeng, Cheng Qin, et al.. (2016). Comparative Transcriptome Analysis Revealed Genes Commonly Responsive to Varied Nitrate Stress in Leaves of Tibetan Hulless Barley. Frontiers in Plant Science. 7. 1067–1067. 16 indexed citations
17.
Wang, Yang, et al.. (2014). The Sch9 Kinase Regulates Conidium Size, Stress Responses, and Pathogenesis in Fusarium graminearum. PLoS ONE. 9(8). e105811–e105811. 34 indexed citations
18.
Zeng, Xingquan, Xiaomei Luo, Yulin Wang, et al.. (2014). Transcriptome Sequencing in a Tibetan Barley Landrace with High Resistance to Powdery Mildew. The Scientific World JOURNAL. 2014. 1–9. 23 indexed citations
19.
Wang, Yulin. (2009). Analysis of the Practical Significance of Developing Fish Breeding in Paddy Fields. Anhui nongye kexue. 1 indexed citations
20.
Wang, Yulin. (2008). The Biological Characteristics of Alien Plant Anredera cordifolia and Its Control. Anhui nongye kexue. 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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