Yuexu Jiang

1.7k total citations · 1 hit paper
35 papers, 995 citations indexed

About

Yuexu Jiang is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Oncology. According to data from OpenAlex, Yuexu Jiang has authored 35 papers receiving a total of 995 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 5 papers in Health, Toxicology and Mutagenesis and 5 papers in Oncology. Recurrent topics in Yuexu Jiang's work include Machine Learning in Bioinformatics (8 papers), Bioinformatics and Genomic Networks (8 papers) and Protein Structure and Dynamics (6 papers). Yuexu Jiang is often cited by papers focused on Machine Learning in Bioinformatics (8 papers), Bioinformatics and Genomic Networks (8 papers) and Protein Structure and Dynamics (6 papers). Yuexu Jiang collaborates with scholars based in United States, China and Denmark. Yuexu Jiang's co-authors include Dong Xu, Duolin Wang, Juexin Wang, Yuzhou Chang, Cankun Wang, Qin Ma, Anjun Ma, Ren Qi, Jianting Gong and Hongjun Fu and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Yuexu Jiang

34 papers receiving 984 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses

2021 250 citations Juexin Wang, Anjun Ma et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yuexu Jiang United States	13	739	111	72	63	62	35	995
Rani K. Powers United States	8	599 0.8×	111 1.0×	57 0.8×	80 1.3×	31 0.5×	12	1.1k
Yungang Xu China	14	477 0.6×	128 1.2×	37 0.5×	48 0.8×	38 0.6×	29	638
Andrew Tikhonov United Kingdom	4	519 0.7×	94 0.8×	35 0.5×	22 0.3×	62 1.0×	5	686
Britta Velten Germany	10	1.1k 1.5×	182 1.6×	118 1.6×	49 0.8×	39 0.6×	13	1.4k
Lei Wei China	17	692 0.9×	106 1.0×	44 0.6×	26 0.4×	79 1.3×	76	993
Natalja Kurbatova United Kingdom	7	530 0.7×	79 0.7×	22 0.3×	41 0.7×	49 0.8×	11	679
Dan Tenenbaum United States	5	592 0.8×	41 0.4×	40 0.6×	27 0.4×	44 0.7×	8	788
Robert Petryszak United Kingdom	9	973 1.3×	176 1.6×	40 0.6×	34 0.5×	103 1.7×	11	1.3k
Damien Arnol United Kingdom	6	1.1k 1.5×	198 1.8×	151 2.1×	49 0.8×	25 0.4×	6	1.4k
Thomas Stoeger United States	16	1.0k 1.4×	74 0.7×	136 1.9×	23 0.4×	66 1.1×	27	1.4k

Countries citing papers authored by Yuexu Jiang

Since Specialization

Citations

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

Fields of papers citing papers by Yuexu Jiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuexu Jiang

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

Jiang, Yuexu, et al.. (2024). IRnet: Immunotherapy response prediction using pathway knowledge-informed graph neural network. Journal of Advanced Research. 72. 319–331. 1 indexed citations

Wang, Duolin, Shuai Zeng, Yuexu Jiang, et al.. (2024). S‐PLM: Structure‐Aware Protein Language Model via Contrastive Learning Between Sequence and Structure. Advanced Science. 12(5). e2404212–e2404212. 9 indexed citations

Jiang, Yuexu, Lei Jiang, Duolin Wang, et al.. (2023). MULocDeep web service for protein localization prediction and visualization at subcellular and suborganellar levels. Nucleic Acids Research. 51(W1). W343–W349. 20 indexed citations

Ma, Anjun, Xiaoying Wang, Jingxian Li, et al.. (2023). Single-cell biological network inference using a heterogeneous graph transformer. Nature Communications. 14(1). 964–964. 93 indexed citations

Xiao, Hua, Chunyan Yao, Zongli Qi, et al.. (2022). Association between maternal short-term exposure to ambient air pollution and the risk of fetal distress: A matched case-control study. The Science of The Total Environment. 860. 160438–160438. 5 indexed citations

Srivastava, Tarak, Robert E. Garola, Jianping Zhou, et al.. (2022). Prostanoid receptors in hyperfiltration‐mediated glomerular injury: Novel agonists and antagonists reveal opposing roles for EP2 and EP4 receptors. The FASEB Journal. 36(10). e22559–e22559. 4 indexed citations

Jiang, Yuexu, Lili Yang, Qingsong Huang, et al.. (2022). The association between short-term exposure to ambient carbon monoxide and hospitalization costs for bronchitis patients: A hospital-based study. Environmental Research. 210. 112945–112945. 2 indexed citations

Huang, Qingsong, Lili Yang, Yuexu Jiang, et al.. (2022). Association between ambient carbon monoxide levels and hospitalization costs of patients with myocardial infarction: Potential effect modification by ABO blood group. Environmental Research. 216(Pt 1). 114516–114516. 4 indexed citations

Wang, Juexin, Anjun Ma, Yuzhou Chang, et al.. (2021). scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses. Nature Communications. 12(1). 1882–1882. 250 indexed citations breakdown →

10.

Cui, Yaya, Dongqin Chen, Yuexu Jiang, et al.. (2021). Variation in Gene Expression between Two Sorghum bicolor Lines Differing in Innate Immunity Response. Plants. 10(8). 1536–1536. 3 indexed citations

11.

Srivastava, Tarak, Trupti Joshi, Daniel P. Heruth, et al.. (2021). A mouse model of prenatal exposure to Interleukin-6 to study the developmental origin of health and disease. Scientific Reports. 11(1). 13260–13260. 7 indexed citations

12.

Jiang, Yuexu, et al.. (2021). MULocDeep: A deep-learning framework for protein subcellular and suborganellar localization prediction with residue-level interpretation. Computational and Structural Biotechnology Journal. 19. 4825–4839. 69 indexed citations

13.

Jiang, Yuexu, et al.. (2021). Computational methods for protein localization prediction. Computational and Structural Biotechnology Journal. 19. 5834–5844. 21 indexed citations

14.

Zhang, Xiao, Xi Li, Leilei Liu, et al.. (2020). Dose–response association between sugar- and artificially sweetened beverage consumption and the risk of metabolic syndrome: a meta-analysis of population-based epidemiological studies. Public Health Nutrition. 24(12). 3892–3904. 29 indexed citations

15.

Møller, Ian Max, R. Shyama Prasad Rao, Yuexu Jiang, Jay J. Thelen, & Dong Xu. (2020). Proteomic and Bioinformatic Profiling of Transporters in Higher Plant Mitochondria. Biomolecules. 10(8). 1190–1190. 9 indexed citations

16.

Wang, Duolin, Dongpeng Liu, Fei He, et al.. (2020). MusiteDeep: a deep-learning based webserver for protein post-translational modification site prediction and visualization. Nucleic Acids Research. 48(W1). W140–W146. 183 indexed citations

17.

Hans, Chetan P., Neekun Sharma, Sidharth Sen, et al.. (2019). Transcriptomics Analysis Reveals New Insights into the Roles of Notch1 Signaling on Macrophage Polarization. Scientific Reports. 9(1). 7999–7999. 23 indexed citations

18.

Jiang, Yuexu, Duolin Wang, Dong Xu, & Trupti Joshi. (2019). IMPRes-Pro: A high dimensional multiomics integration method for in silico hypothesis generation. Methods. 173. 16–23. 7 indexed citations

19.

Wang, Duolin, Juexin Wang, Yuexu Jiang, Yanchun Liang, & Dong Xu. (2016). BFDCA: A Comprehensive Tool of Using Bayes Factor for Differential Co-Expression Analysis. Journal of Molecular Biology. 429(3). 446–453. 6 indexed citations

20.

Jiang, Yuexu, Yan Wang, Wei Pang, et al.. (2015). Essential protein identification based on essential protein–protein interaction prediction by Integrated Edge Weights. Methods. 83. 51–62. 19 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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