Ying Xu

12.4k total citations · 2 hit papers
263 papers, 8.5k citations indexed

About

Ying Xu is a scholar working on Molecular Biology, Materials Chemistry and Cancer Research. According to data from OpenAlex, Ying Xu has authored 263 papers receiving a total of 8.5k indexed citations (citations by other indexed papers that have themselves been cited), including 208 papers in Molecular Biology, 36 papers in Materials Chemistry and 25 papers in Cancer Research. Recurrent topics in Ying Xu's work include Genomics and Phylogenetic Studies (63 papers), RNA and protein synthesis mechanisms (55 papers) and Machine Learning in Bioinformatics (36 papers). Ying Xu is often cited by papers focused on Genomics and Phylogenetic Studies (63 papers), RNA and protein synthesis mechanisms (55 papers) and Machine Learning in Bioinformatics (36 papers). Ying Xu collaborates with scholars based in United States, China and Belgium. Ying Xu's co-authors include Yanbin Yin, Victor Olman, Dong Xu, Han Zhang, Zhenglu Yang, Le Huang, Sarah Entwistle, Peizhi Wu, Peter Kamp Busk and Nicolas Glansdorff and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Ying Xu

253 papers receiving 8.3k citations

Hit Papers

dbCAN2: a meta server for automated carbohydrate-active e... 2018 2026 2020 2023 2018 2024 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying Xu United States 45 6.1k 1.1k 1.1k 815 762 263 8.5k
Thomas Dandekar Germany 61 8.6k 1.4× 1.8k 1.7× 1.8k 1.7× 1.3k 1.6× 701 0.9× 369 14.8k
Elisabeth Gasteiger Switzerland 29 9.9k 1.6× 950 0.9× 2.7k 2.6× 1.2k 1.5× 579 0.8× 39 14.4k
Gary C. Hon United States 14 9.4k 1.5× 945 0.9× 2.0k 1.9× 1.8k 2.2× 405 0.5× 24 12.5k
Fabian Sievers Ireland 13 8.9k 1.5× 1.6k 1.5× 2.3k 2.2× 1.7k 2.1× 445 0.6× 16 14.2k
Michael Remmert Germany 11 9.1k 1.5× 1.6k 1.5× 2.2k 2.0× 1.7k 2.1× 383 0.5× 14 14.0k
Juan Antonio Vizcaíno United Kingdom 42 9.8k 1.6× 635 0.6× 1.4k 1.3× 928 1.1× 426 0.6× 127 14.4k
Robert Powers United States 52 7.1k 1.2× 423 0.4× 563 0.5× 716 0.9× 686 0.9× 263 10.6k
Daniel J. Rigden United Kingdom 52 7.1k 1.2× 562 0.5× 1.4k 1.3× 805 1.0× 213 0.3× 259 10.2k
Silvio C. E. Tosatto Italy 48 10.9k 1.8× 1.3k 1.2× 2.7k 2.6× 1.3k 1.6× 352 0.5× 182 14.8k
Lawrence A. Kelley United Kingdom 22 10.0k 1.6× 1.4k 1.3× 2.6k 2.5× 1.9k 2.3× 514 0.7× 40 15.3k

Countries citing papers authored by Ying Xu

Since Specialization
Citations

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

Fields of papers citing papers by Ying Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Xu. A scholar is included among the top collaborators of Ying Xu 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 Ying Xu. Ying Xu 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.
Xu, Ying, et al.. (2025). Controlling the photoluminescence chromaticity of emissive copper nanoclusters via ligand engineering. Chemical Communications. 61(60). 11215–11218. 1 indexed citations
2.
Wang, Xuefei, Zhan Liu, Jing Yang, et al.. (2024). Photoinduced electron transfer enables cytochrome P450 enzyme-catalyzed reaction cycling. Plant Physiology and Biochemistry. 219. 109412–109412. 4 indexed citations
3.
Xu, Ying, et al.. (2024). Recessive transition of farmland use and food security: Evidence from China. Journal of Rural Studies. 113. 103484–103484. 6 indexed citations
5.
Wang, Yan, et al.. (2024). Construction of a Dataset for All Expressed Transcripts for Alzheimer’s Disease Research. Brain Sciences. 14(12). 1180–1180. 1 indexed citations
6.
7.
Wang, Tian, et al.. (2024). Fluorescence resonance energy transfer in atomically precise metal nanoclusters by cocrystallization-induced spatial confinement. Nature Communications. 15(1). 5351–5351. 20 indexed citations
8.
Guo, Jinjun, et al.. (2023). Radial microbial grouting method by intubation for sandy soil reinforcement: Experimental and numerical investigation. Construction and Building Materials. 375. 130960–130960. 10 indexed citations
9.
Xu, Ying, et al.. (2023). Solvent-induced reversible transformation between monomer-Ag32 and dimer-(Ag32)2 nanoclusters. Chinese Journal of Structural Chemistry. 42(7). 100123–100123. 8 indexed citations
10.
Liu, Xiaofang, Ning Li, Ying Xu, et al.. (2023). Typing of cancer cells by microswimmer based on Co-Fe-MOF for one-step simultaneously detect multiple biomarkers. Biosensors and Bioelectronics. 230. 115263–115263. 36 indexed citations
11.
Dakic, Aleksandra, Megan E. Spurgeon, Bhaskar Kallakury, et al.. (2022). AIB1 is a novel target of the high‐risk HPV E6 protein and a biomarker of cervical cancer progression. Journal of Medical Virology. 94(8). 3962–3977. 7 indexed citations
12.
Xu, Ying, et al.. (2022). Molecular Subtyping of Cancer Based on Distinguishing Co-Expression Modules and Machine Learning. Frontiers in Genetics. 13. 866005–866005. 9 indexed citations
13.
Bai, Jun, et al.. (2022). Quantitative estimation of intracellular oxidative stress in human tissues. Briefings in Bioinformatics. 23(4). 5 indexed citations
14.
Sun, Huiyan, Yi Zhou, Yiran Wu, et al.. (2020). Metabolic Reprogramming in Cancer Is Induced to Increase Proton Production. Cancer Research. 80(5). 1143–1155. 40 indexed citations
15.
Yu, Xiangchun, et al.. (2020). Co-expression based cancer staging and application. Scientific Reports. 10(1). 10624–10624. 9 indexed citations
16.
Sun, Huiyan, Liang Chen, Sha Cao, Yanchun Liang, & Ying Xu. (2019). Warburg Effects in Cancer and Normal Proliferating Cells: Two Tales of the Same Name. Genomics Proteomics & Bioinformatics. 17(3). 273–286. 44 indexed citations
17.
Cao, Sha, Xiwen Zhu, Chi Zhang, et al.. (2017). Competition between DNA Methylation, Nucleotide Synthesis, and Antioxidation in Cancer versus Normal Tissues. Cancer Research. 77(15). 4185–4195. 12 indexed citations
18.
Li, Guanglin, Tobias G. Köllner, Yanbin Yin, et al.. (2012). Nonseed plant Selaginella moellendorffii has both seed plant and microbial types of terpene synthases. Proceedings of the National Academy of Sciences. 109(36). 14711–14715. 101 indexed citations
19.
Li, Guojun, Qin Ma, Haibao Tang, Andrew H. Paterson, & Ying Xu. (2009). QUBIC: a qualitative biclustering algorithm for analyses of gene expression data. Nucleic Acids Research. 37(15). e101–e101. 185 indexed citations
20.
Mao, Fenglou, Victor Olman, Ying Xu, Zhengchang Su, & David Chuang. (2004). Pathway mapping with operon information: an integer-programming method. 642–643.

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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