Yu Ding

1.4k total citations
75 papers, 1.1k citations indexed

About

Yu Ding is a scholar working on Molecular Biology, Cancer Research and Clinical Biochemistry. According to data from OpenAlex, Yu Ding has authored 75 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Molecular Biology, 14 papers in Cancer Research and 7 papers in Clinical Biochemistry. Recurrent topics in Yu Ding's work include Mitochondrial Function and Pathology (33 papers), RNA modifications and cancer (26 papers) and RNA and protein synthesis mechanisms (17 papers). Yu Ding is often cited by papers focused on Mitochondrial Function and Pathology (33 papers), RNA modifications and cancer (26 papers) and RNA and protein synthesis mechanisms (17 papers). Yu Ding collaborates with scholars based in China, United States and Australia. Yu Ding's co-authors include Guangchao Zhuo, Bohou Xia, Caijuan Zhang, Jianhang Leng, Liangde Xu, Guosi Zhang, Xiaoyan Lu, Hong Wang, Wen-ying Hou and Yongshuai Jiang and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and International Journal of Molecular Sciences.

In The Last Decade

Yu Ding

70 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Ding China 17 815 358 167 148 115 75 1.1k
Xianqin Zhang China 17 622 0.8× 71 0.2× 157 0.9× 116 0.8× 12 0.1× 42 958
Timothy J. Pullen United Kingdom 23 1.0k 1.2× 284 0.8× 68 0.4× 16 0.1× 47 0.4× 28 1.8k
Wencong Song China 17 290 0.4× 150 0.4× 128 0.8× 162 1.1× 11 0.1× 25 604
Yuzhen Gao China 19 769 0.9× 441 1.2× 28 0.2× 32 0.2× 14 0.1× 93 1.2k
Shengzhan Luo United States 9 857 1.1× 73 0.2× 50 0.3× 25 0.2× 23 0.2× 10 1.7k
Shuang‐Xia Zhao China 18 428 0.5× 51 0.1× 39 0.2× 61 0.4× 27 0.2× 65 821
Mohammad Taghi Akbari Iran 12 170 0.2× 26 0.1× 70 0.4× 77 0.5× 46 0.4× 57 492
Johanna K. Wolford United States 21 692 0.8× 185 0.5× 41 0.2× 11 0.1× 37 0.3× 36 1.5k
Chaojun Yan China 11 834 1.0× 153 0.4× 20 0.1× 11 0.1× 117 1.0× 18 1.1k
Emiliano Maiani Italy 13 370 0.5× 73 0.2× 62 0.4× 48 0.3× 22 0.2× 19 654

Countries citing papers authored by Yu Ding

Since Specialization
Citations

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

Fields of papers citing papers by Yu Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Ding. A scholar is included among the top collaborators of Yu 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 Yu Ding. Yu Ding 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.
Ding, Yu, et al.. (2025). Respiratory Metabolism and Metabolomics of Red Swamp Crayfish Procambarus clarkii Under Low Temperature Stress. Journal of Experimental Zoology Part A Ecological and Integrative Physiology. 343(5). 578–589. 2 indexed citations
3.
Li, Sheng, et al.. (2024). The Association Between Mitochondrial tRNAGlu Variants and Hearing Loss: A Case-Control Study. Pharmacogenomics and Personalized Medicine. Volume 17. 77–89. 1 indexed citations
4.
Gao, Shiyang, et al.. (2024). Obesity-Related Ciliopathies: Focus on Advances of Biomarkers. International Journal of Molecular Sciences. 25(15). 8484–8484. 1 indexed citations
5.
Ying, Lingwen, Fan Yang, Xin Li, et al.. (2024). Screening/diagnosis of pediatric endocrine disorders through the artificial intelligence model in different language settings. European Journal of Pediatrics. 183(6). 2655–2661. 5 indexed citations
6.
Ding, Yu, Jiaqing Liu, Yunfei Sun, & Yongxu Cheng. (2024). Transcriptomics, metabolomics and proteomics analyses reveal glyphosate tolerance mechanism in red swamp crayfish Procambarus clarkii. The Science of The Total Environment. 958. 178068–178068. 2 indexed citations
7.
Lu, Haohao, et al.. (2024). Transcriptomic Analysis of Cardiac Tissues in a Rodent Model of Coronary Microembolization. Journal of Inflammation Research. Volume 17. 6645–6659. 1 indexed citations
8.
Ding, Yu, et al.. (2024). Causal relationship between telomere length and risk of intracranial aneurysm: a bidirectional Mendelian randomization study. Frontiers in Neurology. 15. 1355895–1355895. 2 indexed citations
9.
Zhong, Zikan, Xintao Li, Xiaoyu Wu, et al.. (2023). Long Non-coding RNA Involved in the Pathophysiology of Atrial Fibrillation. Cardiovascular Drugs and Therapy. 39(2). 435–458. 1 indexed citations
10.
Zhao, Xueying, Yu Ding, Xiaoyan Lu, et al.. (2019). Location deviations of DNA functional elements affected SNP mapping in the published databases and references. Briefings in Bioinformatics. 21(4). 1293–1301. 6 indexed citations
11.
Wu, Yingnan, Feng Zhang, Wen-ying Hou, et al.. (2019). Systematic analysis of lncRNA expression profiles and atherosclerosis-associated lncRNA-mRNA network revealing functional lncRNAs in carotid atherosclerotic rabbit models. Functional & Integrative Genomics. 20(1). 103–115. 9 indexed citations
12.
Chang, Guoying, Juan Li, Jian Wang, et al.. (2017). Novel compound heterozygous mutations of the PCNT gene in one Chinese boy with microcephalic osteodysplastic primordial dwarfism type II: case report and literature review. Zhonghua neifenmi daixie zazhi. 33(1). 47–51. 1 indexed citations
13.
Ding, Yu, Bohou Xia, Caijuan Zhang, & Guangchao Zhuo. (2017). Mitochondrial tRNALeu(UUR) C3275T, tRNAGln T4363C and tRNALys A8343G mutations may be associated with PCOS and metabolic syndrome. Gene. 642. 299–306. 62 indexed citations
14.
Ding, Yu, et al.. (2016). Allele-specific PCR for detecting the deafness-associated mitochondrial 12S rRNA mutations. Gene. 591(1). 148–152. 15 indexed citations
15.
Ding, Yu, Guangchao Zhuo, Caijuan Zhang, & Jianhang Leng. (2016). Point mutation in mitochondrial tRNA gene is associated with polycystic ovary syndrome and insulin resistance. Molecular Medicine Reports. 13(4). 3169–3172. 32 indexed citations
16.
Wang, Xinmei, Mingyue Li, Liang Li, et al.. (2014). Profiling of alternative polyadenylation sites in luminal B breast cancer using the SAPAS method. International Journal of Molecular Medicine. 35(1). 39–50. 6 indexed citations
17.
Ding, Yu, Bohou Xia, Jinfang Yu, Jianhang Leng, & Jinyu Huang. (2013). Mitochondrial DNA mutations and essential hypertension (Review). International Journal of Molecular Medicine. 32(4). 768–774. 26 indexed citations
18.
Ding, Yu, Jianhang Leng, Fan Fan, Bohou Xia, & Pan Xu. (2013). The Role of Mitochondrial DNA Mutations in Hearing Loss. Biochemical Genetics. 51(7-8). 588–602. 53 indexed citations
19.
Lü, Jianxin, Yaping Qian, Zhiyuan Li, et al.. (2009). Mitochondrial haplotypes may modulate the phenotypic manifestation of the deafness-associated 12S rRNA 1555A>G mutation. Mitochondrion. 10(1). 69–81. 91 indexed citations
20.
Wang, Hong, et al.. (2004). Screening of 12 SNPs of CYP3A4 in a Chinese Population Using Oligonucleotide Microarray. Genetic Testing. 8(4). 411–416. 13 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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