Xiaohui Niu

1.2k total citations
44 papers, 425 citations indexed

About

Xiaohui Niu is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Xiaohui Niu has authored 44 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 7 papers in Genetics and 6 papers in Cancer Research. Recurrent topics in Xiaohui Niu's work include Machine Learning in Bioinformatics (13 papers), Protein Structure and Dynamics (8 papers) and Fractal and DNA sequence analysis (8 papers). Xiaohui Niu is often cited by papers focused on Machine Learning in Bioinformatics (13 papers), Protein Structure and Dynamics (8 papers) and Fractal and DNA sequence analysis (8 papers). Xiaohui Niu collaborates with scholars based in China, India and Canada. Xiaohui Niu's co-authors include Jingbo Xia, Feng Shi, Jing Gong, Wenqian Yang, Yanbo Yang, Feng Shi, Nana Li, Xuehai Hu, Jiajun Yang and Weiwei Jin and has published in prestigious journals such as Nucleic Acids Research, The Science of The Total Environment and Macromolecules.

In The Last Decade

Xiaohui Niu

41 papers receiving 418 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaohui Niu China 13 267 62 58 55 37 44 425
He Zhou China 12 134 0.5× 75 1.2× 154 2.7× 15 0.3× 62 1.7× 36 393
Elissa J. Cosgrove United States 9 275 1.0× 20 0.3× 231 4.0× 19 0.3× 16 0.4× 11 486
Xiaosen Jiang China 11 203 0.8× 14 0.2× 75 1.3× 22 0.4× 27 0.7× 28 393
Jill A. Franzosa United States 12 183 0.7× 18 0.3× 37 0.6× 78 1.4× 8 0.2× 17 384
Aoife Doherty United Kingdom 8 154 0.6× 15 0.2× 65 1.1× 27 0.5× 8 0.2× 10 296
Mélina Gallopin France 8 199 0.7× 50 0.8× 41 0.7× 55 1.0× 4 0.1× 14 321
Alinda Nagy Hungary 9 276 1.0× 29 0.5× 49 0.8× 11 0.2× 7 0.2× 11 323
Chao Yuan China 13 320 1.2× 101 1.6× 132 2.3× 81 1.5× 4 0.1× 36 554
Ya-Jie Ji China 11 157 0.6× 37 0.6× 104 1.8× 35 0.6× 9 0.2× 23 342
Srinidhi Varadharajan Norway 8 123 0.5× 30 0.5× 71 1.2× 11 0.2× 34 0.9× 9 233

Countries citing papers authored by Xiaohui Niu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohui Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaohui Niu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohui Niu. A scholar is included among the top collaborators of Xiaohui Niu 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 Xiaohui Niu. Xiaohui Niu 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.
Xue, Gang, Gang Wang, Qianqian Shi, et al.. (2025). Exploring the dynamic pathogenesis of Parkinson's disease by case-control and longitudinal blood transcriptome analyses. Neurobiology of Disease. 209. 106891–106891.
2.
Liu, Ruoyan, Qin Tang, Peng Sun, et al.. (2025). iFish: a comprehensive multi-omics database for fish genetics, transcriptional regulation, and epigenetic research. Nucleic Acids Research. 54(D1). D1108–D1118. 1 indexed citations
3.
Han, Xiaolong, Yifei Zhang, Ruidong Wang, et al.. (2025). High Heat Resistance, Barrier Property, and Low Carbon Emission PET for Sustainable Food Packaging Applications Based on Biobased Functional Monomers. Macromolecules. 58(10). 5305–5317. 1 indexed citations
4.
Zhang, Xiaohang, et al.. (2024). Development of a limestone-based ballasted material for enhanced co-removal of turbidity and fluoride from coal mine water: An efficacy study. Journal of Water Process Engineering. 66. 105979–105979. 3 indexed citations
5.
Feng, Jing, Xiaohong Wu, Tian Wu, et al.. (2024). miRNASNP-v4: a comprehensive database for miRNA-related SNPs across 17 species. Nucleic Acids Research. 53(D1). D1066–D1074. 3 indexed citations
6.
7.
Gao, Yingjie, Wenqian Yang, Weiwei Jin, et al.. (2022). Animal-SNPAtlas: a comprehensive SNP database for multiple animals. Nucleic Acids Research. 51(D1). D816–D826. 12 indexed citations
8.
Wu, Xiaohong, Yanbo Yang, Wenqian Yang, et al.. (2022). Systematic analysis of the effects of genetic variants on chromatin accessibility to decipher functional variants in non-coding regions. Frontiers in Oncology. 12. 1035855–1035855. 4 indexed citations
9.
Fu, Haitao, et al.. (2022). DRLM: A Robust Drug Representation Learning Method and its Applications. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 20(6). 3451–3460. 2 indexed citations
10.
Yang, Yanbo, Xiaohong Wu, Wenqian Yang, et al.. (2022). Dynamic alternative polyadenylation during iPSC differentiation into cardiomyocytes. Computational and Structural Biotechnology Journal. 20. 5859–5869. 3 indexed citations
11.
Jin, Weiwei, Yanbo Yang, Wenqian Yang, et al.. (2021). Animal-eRNAdb: a comprehensive animal enhancer RNA database. Nucleic Acids Research. 50(D1). D46–D53. 17 indexed citations
12.
Huang, Zhi-Feng, Yu Gan, Kun Yang, et al.. (2020). Characteristics and Evolution of Microbial Drug Resistance in Burned Patients. Journal of Burn Care & Research. 45(4). 895–902. 1 indexed citations
13.
Niu, Xiaohui, Kun Yang, Ge ZHANG, Zhiquan Yang, & Xuehai Hu. (2020). A Pretraining-Retraining Strategy of Deep Learning Improves Cell-Specific Enhancer Predictions. Frontiers in Genetics. 10. 1305–1305. 12 indexed citations
14.
Deng, Hui, Bowen Gong, Zhiquan Yang, et al.. (2019). Intensive Distribution of G2-Quaduplexes in the Pseudorabies Virus Genome and Their Sensitivity to Cations and G-Quadruplex Ligands. Molecules. 24(4). 774–774. 13 indexed citations
15.
Ali, Ashfaq, Xiaohui Niu, Bi‐Cheng Dong, et al.. (2018). A multi-species comparison of selective placement patterns of ramets in invasive alien and native clonal plants to light, soil nutrient and water heterogeneity. The Science of The Total Environment. 657. 1568–1577. 54 indexed citations
16.
Niu, Xiaohui, Nana Li, Jingbo Xia, et al.. (2013). Using the concept of Chou's pseudo amino acid composition to predict protein solubility: An approach with entropies in information theory. Journal of Theoretical Biology. 332. 211–217. 34 indexed citations
17.
Niu, Xiaohui, et al.. (2013). Predicting the protein solubility by integrating chaos games representation and entropy in information theory. Expert Systems with Applications. 41(4). 1672–1679. 21 indexed citations
18.
19.
Niu, Xiaohui, et al.. (2010). Predicting Protein Solubility with a Hybrid Approach by Pseudo Amino Acid Composition. Protein and Peptide Letters. 17(12). 1466–1472. 12 indexed citations
20.
Hu, Xuehai, et al.. (2009). Chaos Game Representation for Discriminating Thermophilic from Mesophilic Protein Sequences. 226. 1–4. 3 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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