Yuhua He

1.0k total citations
32 papers, 367 citations indexed

About

Yuhua He is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Yuhua He has authored 32 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Plant Science, 6 papers in Genetics and 5 papers in Molecular Biology. Recurrent topics in Yuhua He's work include Genetic and Environmental Crop Studies (17 papers), Agricultural pest management studies (15 papers) and Advances in Cucurbitaceae Research (6 papers). Yuhua He is often cited by papers focused on Genetic and Environmental Crop Studies (17 papers), Agricultural pest management studies (15 papers) and Advances in Cucurbitaceae Research (6 papers). Yuhua He collaborates with scholars based in China, Spain and United States. Yuhua He's co-authors include Xuxiao Zong, Guangwei Zhao, Yongyang Xu, Tao Yang, Junye Jiang, Shiying Bao, Junjie Hao, Lingli Tang, Jordi García-Más and Jianping Guan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Yuhua He

29 papers receiving 356 citations

Peers

Yuhua He

GENET

EEBS

Haizheng Xiong United States

Rishi Aryal United States

Tadayuki Wako Japan

Ranjita Thapa United States

Dennis Motes United States

Parmeshwar K. Sahu India

Akshay Talukdar India

Fawad Ali Pakistan

Khaled F. M. Salem Egypt

Ibrahim Wasiu Arolu Malaysia

Haizheng Xiong United States

Yuhua He

423 ×1.3

50 ×0.5

GENET

53 ×0.8

14 ×0.6

EEBS

22 ×1.2

Citations per year, relative to Yuhua He Yuhua He (= 1×) peers Haizheng Xiong

Countries citing papers authored by Yuhua He

Since Specialization

Citations

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

Fields of papers citing papers by Yuhua He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuhua He

This figure shows the co-authorship network connecting the top 25 collaborators of Yuhua He. A scholar is included among the top collaborators of Yuhua He 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 Yuhua He. Yuhua He is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Liu, Hongyan, et al.. (2025). Network pharmacology, molecular docking, and molecular dynamics simulation in drug development: A comprehensive perspective. Current Pharmaceutical Analysis. 21(8). 402–405.

Wang, Qingtao, Lingli Tang, Yuhua He, et al.. (2025). Comprehensive analysis of transcriptome and metabolome identified the key gene networks regulating fruit length in melon. BMC Plant Biology. 25(1). 442–442.

He, Yuhua, Jiangshuo Su, Wei Sun, et al.. (2025). GWAS reveals the genetic basis and genomic regions underlying four active compounds in chrysanthemum. Horticultural Plant Journal. 11(6). 2211–2224. 2 indexed citations

Li, Li, et al.. (2025). Construction of RNA m6A profiles in liver tissue of mice in sepsis-induced liver injury based on m6A MeRIP-seq and RNA-seq. European journal of medical research. 30(1). 723–723. 1 indexed citations

Liu, Shanlin, et al.. (2024). Microbial perspective on the skin–gut axis and atopic dermatitis. Open Life Sciences. 19(1). 20220782–20220782. 5 indexed citations

Mansour, Elsayed, et al.. (2024). Genetic potential and inheritance pattern of agronomic traits in faba bean under free and infested Orobanche soil conditions. BMC Plant Biology. 24(1). 301–301. 2 indexed citations

Yang, Feng, Yubao Wang, Qiong Li, et al.. (2023). Yield Adaptability and Stability in Field Pea Genotypes Using AMMI, GGE, and GYT Biplot Analyses. Agriculture. 13(10). 1962–1962. 10 indexed citations

Li, Guoli, Lingli Tang, Yuhua He, et al.. (2023). The haplotype-resolved T2T reference genome highlights structural variation underlying agronomic traits of melon. Horticulture Research. 10(10). uhad182–uhad182. 13 indexed citations

Rehan, Medhat, et al.. (2023). The Potential Genetic Effect for Yield and Foliar Disease Resistance in Faba Bean (Vicia faba L.) Assessed via Morphological and SCoT Markers. Plants. 12(20). 3645–3645. 3 indexed citations

10.

Tang, Lingli, Yuhua He, Bin Liu, Yongyang Xu, & Guangwei Zhao. (2023). Genome-Wide Identification and Characterization Analysis of WUSCHEL-Related Homeobox Family in Melon (Cucumis melo L.). International Journal of Molecular Sciences. 24(15). 12326–12326. 10 indexed citations

11.

Yang, Jingyi, Yuhua He, Xuxiao Zong, et al.. (2022). Performance of Different Varieties of Spring Field Pea (Pisum sativum L.) under Irrigated and Rainfed Environments in North China. Agronomy. 12(7). 1498–1498. 6 indexed citations

12.

Wang, Chenyu, Rong Liu, Yujiao Liu, et al.. (2021). Development and application of the Faba_bean_130K targeted next-generation sequencing SNP genotyping platform based on transcriptome sequencing. Theoretical and Applied Genetics. 134(10). 3195–3207. 19 indexed citations

13.

Lian, Qun, Qiushi Fu, Yongyang Xu, et al.. (2021). QTLs and candidate genes analyses for fruit size under domestication and differentiation in melon (Cucumis melo L.) based on high resolution maps. BMC Plant Biology. 21(1). 126–126. 27 indexed citations

14.

Wang, Liping, et al.. (2020). Correlation and path analysis of major agronomic traits to fresh yield of early-mature and autumn-sowing faba bean (Vicia faba L.).. Xi'nan nongye xuebao. 33(4). 711–717. 1 indexed citations

15.

Wu, Haibo, Guangwei Zhao, Yuhua He, et al.. (2020). Transcriptome analysis clarified genes involved in resistance to Phytophthora capsici in melon. PLoS ONE. 15(2). e0227284–e0227284. 18 indexed citations

16.

Zhao, Guangwei, et al.. (2020). Genetic mapping and candidate gene analysis for melon resistance to Phytophthora capsici. Scientific Reports. 10(1). 20456–20456. 7 indexed citations

17.

Pereira, Lara, Valentino Ruggieri, Jason Argyris, et al.. (2020). Genetic dissection of climacteric fruit ripening in a melon population segregating for ripening behavior. Horticulture Research. 7(1). 187–187. 34 indexed citations

18.

Yang, Tao, Junye Jiang, Hongyan Zhang, et al.. (2019). Density enhancement of a faba bean genetic linkage map (Vicia faba) based on simple sequence repeats markers. Plant Breeding. 138(2). 207–215. 8 indexed citations

19.

Lu, Yue-hong, et al.. (2018). Phenolic composition, antioxidant capacity and inhibitory effects on α-glucosidase and lipase of immature faba bean seeds. International Journal of Food Properties. 21(1). 2366–2377. 17 indexed citations

20.

Yang, Tao, Shiying Bao, Rebecca Ford, et al.. (2012). High-throughput novel microsatellite marker of faba bean via next generation sequencing. BMC Genomics. 13(1). 602–602. 69 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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