Di Yu

1.0k total citations
29 papers, 735 citations indexed

About

Di Yu is a scholar working on Molecular Biology, Spectroscopy and Cancer Research. According to data from OpenAlex, Di Yu has authored 29 papers receiving a total of 735 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 4 papers in Spectroscopy and 4 papers in Cancer Research. Recurrent topics in Di Yu's work include Metabolomics and Mass Spectrometry Studies (14 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Genomics, phytochemicals, and oxidative stress (3 papers). Di Yu is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (14 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Genomics, phytochemicals, and oxidative stress (3 papers). Di Yu collaborates with scholars based in China, United States and Slovakia. Di Yu's co-authors include Guowang Xu, Chunzhang Yang, Qiuhui Xuan, Xinjie Zhao, Chunxiu Hu, Lichao Wang, Yiqiang Zhou, Xiaoli Hou, Lina Zhou and Qi Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Analytical Chemistry.

In The Last Decade

Di Yu

26 papers receiving 733 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Di Yu China 14 467 217 90 80 68 29 735
Ning Sheng China 14 340 0.7× 92 0.4× 30 0.3× 42 0.5× 33 0.5× 36 703
Mariano Redondo‐Horcajo Spain 23 779 1.7× 110 0.5× 30 0.3× 24 0.3× 79 1.2× 42 1.3k
Nora Anderson United States 5 265 0.6× 141 0.6× 36 0.4× 20 0.3× 45 0.7× 8 601
Xia Zou China 18 770 1.6× 210 1.0× 12 0.1× 113 1.4× 51 0.8× 58 1.2k
Chris Black United States 12 396 0.8× 77 0.4× 125 1.4× 15 0.2× 47 0.7× 13 954
Santiago Díaz‐Moralli Spain 10 445 1.0× 222 1.0× 57 0.6× 12 0.1× 32 0.5× 11 679
Marcella Manerba Italy 18 621 1.3× 480 2.2× 29 0.3× 25 0.3× 33 0.5× 27 958
Josef Strasser United States 8 228 0.5× 236 1.1× 27 0.3× 31 0.4× 26 0.4× 10 700
Luca Fantoni Italy 8 445 1.0× 88 0.4× 23 0.3× 88 1.1× 73 1.1× 8 1.0k
Alice Santi Italy 14 442 0.9× 205 0.9× 21 0.2× 11 0.1× 67 1.0× 27 918

Countries citing papers authored by Di Yu

Since Specialization
Citations

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

Fields of papers citing papers by Di Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Di Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Di Yu. A scholar is included among the top collaborators of Di Yu 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 Di Yu. Di Yu 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.
Wang, Yuting, Di Yu, Yi Wang, et al.. (2025). Metabolite biomarkers of screening neonatal congenital hypothyroidism based on dried blood spot metabolomics. Analytical and Bioanalytical Chemistry. 417(13). 2889–2902. 1 indexed citations
2.
Yang, H. J., et al.. (2025). MetCohort: Precise Feature Detection and Correspondence for Untargeted Metabolomics in Large-Scale Cohort Studies. Analytical Chemistry. 97(19). 10155–10162.
3.
4.
Li, Yansong, Di Yu, Dongdong Huang, et al.. (2025). Prediction of Retention Time by Combining Multiple Data Sets with Chromatographic Parameter Vectorization and Transfer Learning. Analytical Chemistry. 97(31). 16788–16795.
5.
Wang, Xiaokun, Lei You, Wangshu Qin, et al.. (2025). Risk of serum circulating environmental chemical residues to esophageal squamous cell carcinoma: a nested case–control metabolome-wide association study. Analytical and Bioanalytical Chemistry. 417(13). 2783–2795. 1 indexed citations
6.
Yu, Di, et al.. (2024). New advances in exposomics-analysis methods and research paradigms based on chromatography-mass spectrometry. Chinese Journal of Chromatography. 42(2). 109–119. 1 indexed citations
7.
Yu, Di, Lina Zhou, Xinyu Liu, & Guowang Xu. (2023). Stable isotope-resolved metabolomics based on mass spectrometry: Methods and their applications. TrAC Trends in Analytical Chemistry. 160. 116985–116985. 15 indexed citations
8.
Ouyang, Yang, Gaokun Qiu, Xinjie Zhao, et al.. (2021). Metabolome‐Genome‐Wide Association Study (mGWAS) Reveals Novel Metabolites Associated with Future Type 2 Diabetes Risk and Susceptibility Loci in a Case‐Control Study in a Chinese Prospective Cohort. SHILAP Revista de lepidopterología. 5(4). 2000088–2000088. 15 indexed citations
9.
Yu, Di, Fujian Zheng, Lichao Wang, et al.. (2021). Novel Stable Isotope-Resolved Metabolomics Method for a Small Number of Cells Using Chip-Based Nanoelectrospray Mass Spectrometry. Analytical Chemistry. 93(41). 13765–13773. 2 indexed citations
10.
Xuan, Qiuhui, Fujian Zheng, Di Yu, et al.. (2020). Rapid lipidomic profiling based on ultra-high performance liquid chromatography–mass spectrometry and its application in diabetic retinopathy. Analytical and Bioanalytical Chemistry. 412(15). 3585–3594. 36 indexed citations
11.
Yu, Di, Qiuhui Xuan, Chaoqi Zhang, et al.. (2020). Metabolic Alterations Related to Glioma Grading Based on Metabolomics and Lipidomics Analyses. Metabolites. 10(12). 478–478. 28 indexed citations
12.
Tang, Xiaoying, Xiao Fu, Yang Liu, et al.. (2019). Blockade of Glutathione Metabolism in IDH1 -Mutated Glioma. Molecular Cancer Therapeutics. 19(1). 221–230. 67 indexed citations
13.
Zhou, Yiqiang, Yang Liu, Junwen Zhang, et al.. (2019). Autocrine BMP4 Signaling Enhances Tumor Aggressiveness via Promoting Wnt/β-Catenin Signaling in IDH1-mutant Gliomas. Translational Oncology. 13(2). 125–134. 17 indexed citations
14.
Pang, Ying, Yanxin Lu, Veronika Caisová, et al.. (2018). Targeting NAD+/PARP DNA Repair Pathway as a Novel Therapeutic Approach to SDHB -Mutated Cluster I Pheochromocytoma and Paraganglioma. Clinical Cancer Research. 24(14). 3423–3432. 61 indexed citations
15.
Yu, Di, Lina Zhou, Qiuhui Xuan, et al.. (2018). Strategy for Comprehensive Identification of Acylcarnitines Based on Liquid Chromatography–High-Resolution Mass Spectrometry. Analytical Chemistry. 90(9). 5712–5718. 53 indexed citations
16.
Yang, Feilong, Di Yu, Yong‐Zhen Zhang, et al.. (2017). Pretreatment Serum Cystatin C Levels Predict Renal Function, but Not Tumor Characteristics, in Patients with Prostate Neoplasia. BioMed Research International. 2017. 1–8. 6 indexed citations
17.
Wang, Lei, Chen Chen, Fen Li, et al.. (2016). Overexpression of neuromedin U is correlated with regional metastasis of head and neck squamous cell carcinoma. Molecular Medicine Reports. 14(2). 1075–1082. 11 indexed citations
18.
Wang, Lei, Chen Chen, Fen Li, et al.. (2015). Down-regulation of neutrophil gelatinase-associated lipocalin in head and neck squamous cell carcinoma correlated with tumorigenesis, not with metastasis.. PubMed. 8(8). 8857–68. 5 indexed citations
19.
Hong, Guofan, Shuliang Yu, Xin Hu, et al.. (1997). A120 Kilobase Resolution Contig Map of the Rice Genome. DNA sequence. 7(6). 319–335. 9 indexed citations
20.
Tao, Quanzhou, Haiying Zhao, Shuliang Yu, et al.. (1995). Construction of Oryza sativa genome contigs by finger print strategy. Cell Research. 5(2). 263–271. 5 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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