Yuanhao Ding

1.4k total citations
24 papers, 708 citations indexed

About

Yuanhao Ding is a scholar working on Plant Science, Molecular Biology and Complementary and alternative medicine. According to data from OpenAlex, Yuanhao Ding has authored 24 papers receiving a total of 708 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Plant Science, 12 papers in Molecular Biology and 3 papers in Complementary and alternative medicine. Recurrent topics in Yuanhao Ding's work include Research in Cotton Cultivation (8 papers), Plant Molecular Biology Research (6 papers) and Plant Reproductive Biology (5 papers). Yuanhao Ding is often cited by papers focused on Research in Cotton Cultivation (8 papers), Plant Molecular Biology Research (6 papers) and Plant Reproductive Biology (5 papers). Yuanhao Ding collaborates with scholars based in China, Germany and Japan. Yuanhao Ding's co-authors include Xianlong Zhang, Ling Min, Yuanlong Wu, Qin Hu, Yaoyao Li, Longfu Zhu, Yizan Ma, Haiyan Hu, Shiming Liu and Wenhui Gao and has published in prestigious journals such as Journal of Biological Chemistry, Bioinformatics and PLoS ONE.

In The Last Decade

Yuanhao Ding

24 papers receiving 696 citations

Peers

Yuanhao Ding

EEBS

GENET

ENDOC

Ting Shi China

Kanji Isuzugawa Japan

Sonia Ouadi Switzerland

Carmen Espinoza Chile

Xu XuHan China

Meeghan Pither-Joyce New Zealand

Tongbing Su China

Elisabetta Barizza Italy

Yuhui Dong China

Ting Shi China

Yuanhao Ding

500 ×0.8

475 ×1.1

47 ×1.1

EEBS

56 ×2.0

GENET

19 ×0.7

ENDOC

Citations per year, relative to Yuanhao Ding Yuanhao Ding (= 1×) peers Ting Shi

Countries citing papers authored by Yuanhao Ding

Since Specialization

Citations

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

Fields of papers citing papers by Yuanhao Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuanhao Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Yuanhao Ding. A scholar is included among the top collaborators of Yuanhao Ding 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 Yuanhao Ding. Yuanhao Ding 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

Ding, Yuanhao, Qingxia Wu, Zhiyang Li, et al.. (2025). Transcriptome and metabolome analysis reveals the mechanism of key nutrient formation in Hainan oil-camellia (Camellia hainanica) growth cycle. Industrial Crops and Products. 230. 121122–121122. 1 indexed citations

Ding, Yuanhao, Yalan Li, Qiuping Zhong, et al.. (2025). 4D label-free proteomics reveals that lignin and gossypol biosynthesis are enhanced in the roots of cotton (Gossypium hirsutum L. cv. TM-1) seedlings after a fifteen-days exposure to silver nanoparticles. Plant Stress. 17. 100970–100970. 1 indexed citations

Yang, Yong, Lu Long, Wei Gao, et al.. (2023). Comparative proteomic analysis identified proteins and the phenylpropanoid biosynthesis pathway involved in the response to ABA treatment in cotton fiber development. Scientific Reports. 13(1). 1488–1488. 13 indexed citations

Yuan, Honglun, Yayu Chen, Haihong Zhou, et al.. (2023). Identification of Key Aromatic Compounds in Basil (Ocimum L.) Using Sensory Evaluation, Metabolomics and Volatilomics Analysis. Metabolites. 13(1). 85–85. 20 indexed citations

Zhu, Jinjin, Sihui Huang, Xiaoli Xing, et al.. (2023). Metabolome profiling and transcriptome analysis filling the early crucial missing steps of piperine biosynthesis in Piper nigrum L.. The Plant Journal. 117(1). 107–120. 9 indexed citations

Li, Zhongshen, Junru Jin, Yu Wang, et al.. (2023). ExamPle: explainable deep learning framework for the prediction of plant small secreted peptides. Bioinformatics. 39(3). 15 indexed citations

Yang, Zhuang, Zhenhuan Liu, Hang Xu, et al.. (2022). ArecaceaeMDB: a comprehensive multi‐omics database for Arecaceae breeding and functional genomics studies. Plant Biotechnology Journal. 21(1). 11–13. 23 indexed citations

Yang, Zhuang, Zhenhuan Liu, Hang Xu, et al.. (2022). The Chromosome-Level Genome of Miracle Fruit (Synsepalum dulcificum) Provides New Insights Into the Evolution and Function of Miraculin. Frontiers in Plant Science. 12. 804662–804662. 7 indexed citations

Yang, Yong, et al.. (2022). Changes in primary metabolites and volatile organic compounds in cotton seedling leaves exposed to silver ions and silver nanoparticles revealed by metabolomic analysis. PeerJ. 10. e13336–e13336. 5 indexed citations

10.

Li, Xinping, et al.. (2021). Transcriptome analysis reveals MYB and WRKY transcription factors involved in banana (Musa paradisiaca AA) magnesium deficiency. Planta. 254(6). 115–115. 10 indexed citations

11.

Ding, Yuanhao, Rui Zhang, Longfu Zhu, et al.. (2021). An enhanced photosynthesis and carbohydrate metabolic capability contributes to heterosis of the cotton (Gossypium hirsutum) hybrid ‘Huaza Mian H318’, as revealed by genome-wide gene expression analysis. BMC Genomics. 22(1). 277–277. 8 indexed citations

12.

Ding, Yuanhao, Yi Cen, Lisong Hu, et al.. (2021). Small RNA sequencing reveals various microRNAs involved in piperine biosynthesis in black pepper (Piper nigrum L.). BMC Genomics. 22(1). 838–838. 16 indexed citations

13.

Zhang, Bei, Xiaoliang Wang, Yanhui Zhong, et al.. (2021). Temperature Correction for FWD Deflection in Cement Pavement Void Detection. Advances in Civil Engineering. 2021(1). 2 indexed citations

14.

Ding, Yuanhao, Jiabin Wang, Ming Lei, et al.. (2020). Small RNA sequencing revealed various microRNAs involved in ethylene-triggered flowering process in Aechmea fasciata. Scientific Reports. 10(1). 8 indexed citations

15.

Khan, Aamir Hamid, Ling Min, Yizan Ma, et al.. (2020). High day and night temperatures distinctively disrupt fatty acid and jasmonic acid metabolism, inducing male sterility in cotton. Journal of Experimental Botany. 71(19). 6128–6141. 42 indexed citations

16.

Tong, Mengying, Wen Liu, Haiyan Hu, et al.. (2020). Identification and functional analysis of the CorA/MGT/MRS2-type magnesium transporter in banana. PLoS ONE. 15(10). e0239058–e0239058. 12 indexed citations

17.

Wu, Yuanlong, Yanlong Li, Yaoyao Li, et al.. (2019). Proteomic analysis reveals that sugar and fatty acid metabolisms play a central role in sterility of the male-sterile line 1355A of cotton. Journal of Biological Chemistry. 294(17). 7057–7067. 17 indexed citations

18.

Hu, Haiyan, et al.. (2019). Characterization of genes in guar gum biosynthesis based on quantitative RNA-sequencing in guar bean (Cyamopsis tetragonoloba). Scientific Reports. 9(1). 10991–10991. 14 indexed citations

19.

Ma, Yizan, Ling Min, Maojun Wang, et al.. (2018). Disrupted Genome Methylation in Response to High Temperature Has Distinct Affects on Microspore Abortion and Anther Indehiscence. The Plant Cell. 30(7). 1387–1403. 101 indexed citations

20.

Hu, Haiyan, Maojun Wang, Yuanhao Ding, et al.. (2017). Transcriptomic repertoires depict the initiation of lint and fuzz fibres in cotton (Gossypium hirsutum L.). Plant Biotechnology Journal. 16(5). 1002–1012. 51 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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