Xia Jiang

4.6k total citations · 1 hit paper
91 papers, 3.1k citations indexed

About

Xia Jiang is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Xia Jiang has authored 91 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Molecular Biology, 24 papers in Artificial Intelligence and 15 papers in Genetics. Recurrent topics in Xia Jiang's work include Bioinformatics and Genomic Networks (18 papers), Gene expression and cancer classification (14 papers) and Genetic Associations and Epidemiology (10 papers). Xia Jiang is often cited by papers focused on Bioinformatics and Genomic Networks (18 papers), Gene expression and cancer classification (14 papers) and Genetic Associations and Epidemiology (10 papers). Xia Jiang collaborates with scholars based in United States, China and Singapore. Xia Jiang's co-authors include Qiang Yu, Jing Tan, Edison T. Liu, Li Zhuang, Xiaojing Yang, Puay Leng Lee, R. Krishna Murthy Karuturi, Richard E. Neapolitan, Wei Chen and Gregory F. Cooper and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Xia Jiang

86 papers receiving 3.1k citations

Hit Papers

Pharmacologic disruption of Polycomb-repressive complex 2... 2007 2026 2013 2019 2007 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xia Jiang United States 26 2.3k 660 434 284 253 91 3.1k
Daniel Catchpoole Australia 30 1.5k 0.6× 571 0.9× 415 1.0× 350 1.2× 152 0.6× 124 2.5k
Xin Lü China 26 2.0k 0.8× 618 0.9× 850 2.0× 265 0.9× 137 0.5× 67 3.3k
Seiichi Ishida Japan 24 2.5k 1.1× 580 0.9× 1.4k 3.1× 295 1.0× 205 0.8× 69 3.8k
Veerabhadran Baladandayuthapani United States 28 1.4k 0.6× 290 0.4× 532 1.2× 216 0.8× 282 1.1× 131 2.8k
Tingting Jiang China 26 1.4k 0.6× 590 0.9× 632 1.5× 324 1.1× 432 1.7× 128 3.2k
Peter Shaw United States 27 1.3k 0.5× 581 0.9× 935 2.2× 258 0.9× 176 0.7× 117 3.3k
Ruibin Xi China 22 1.1k 0.5× 639 1.0× 307 0.7× 481 1.7× 185 0.7× 53 2.1k
Michael Khan United Kingdom 24 2.0k 0.9× 493 0.7× 796 1.8× 331 1.2× 199 0.8× 62 3.4k
Mukesh Bansal United States 25 2.9k 1.2× 969 1.5× 452 1.0× 228 0.8× 128 0.5× 59 3.7k
Javad Beheshti United States 7 1.7k 0.7× 501 0.8× 554 1.3× 172 0.6× 289 1.1× 8 2.6k

Countries citing papers authored by Xia Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Xia Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xia Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Xia Jiang. A scholar is included among the top collaborators of Xia 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 Xia Jiang. Xia Jiang 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.
Yang, Fan, et al.. (2024). Further learning of clinical characteristics and imaging manifestations of nonketotic hyperglycemic hemichorea. Journal of Diabetes. 16(4). e13543–e13543. 1 indexed citations
2.
Jiang, Xia, et al.. (2024). Efficacy and Safety Profile of Finerenone in the Management of Diabetic Nephropathy in Its Early Stages. American Journal of Therapeutics. 32(2). e179–e184.
3.
Jiang, Xia, et al.. (2023). Empirical Study of Overfitting in Deep Learning for Predicting Breast Cancer Metastasis. Cancers. 15(7). 1969–1969. 26 indexed citations
4.
Cai, Chunhui, Gregory F. Cooper, Xiaojun Ma, et al.. (2019). Systematic discovery of the functional impact of somatic genome alterations in individual tumors through tumor-specific causal inference. PLoS Computational Biology. 15(7). e1007088–e1007088. 17 indexed citations
5.
Wang, Weiqing, Guixi Wang, Guang Ning, et al.. (2019). National Metabolic Management Center Construction Standard and Management Guideline. Zhonghua neifenmi daixie zazhi. 35(11). 907–926. 1 indexed citations
6.
Jiang, Xia, Alan Wells, Adam Brufsky, & Richard E. Neapolitan. (2019). A clinical decision support system learned from data to personalize treatment recommendations towards preventing breast cancer metastasis. PLoS ONE. 14(3). e0213292–e0213292. 32 indexed citations
7.
Jiang, Xia, et al.. (2018). Gut Microbial Compositions in Four Age Groups of Tibetan Minipigs. Polish Journal of Microbiology. 67(3). 383–388. 5 indexed citations
8.
Jiang, Xia, et al.. (2015). Learning Predictive Interactions Using Information Gain and Bayesian Network Scoring. PLoS ONE. 10(12). e0143247–e0143247. 15 indexed citations
9.
Neapolitan, Richard E. & Xia Jiang. (2015). Study of Integrated Heterogeneous Data Reveals Prognostic Power of Gene Expression for Breast Cancer Survival. PLoS ONE. 10(2). e0117658–e0117658. 6 indexed citations
10.
Jiang, Xiaoqian, Rui Chen, Samuel Cheng, et al.. (2014). Computational Advances in Cancer Informatics (A). Cancer Informatics. 13s1(Suppl 1). CIN.S19243–CIN.S19243. 2 indexed citations
11.
Cao, Qi, Xiaoju Wang, Meng Zhao, et al.. (2014). The central role of EED in the orchestration of polycomb group complexes. Nature Communications. 5(1). 3127–3127. 119 indexed citations
12.
Lee, Shuet Theng, Min Feng, Yong Wei, et al.. (2013). Protein tyrosine phosphatase UBASH3B is overexpressed in triple-negative breast cancer and promotes invasion and metastasis. Proceedings of the National Academy of Sciences. 110(27). 11121–11126. 55 indexed citations
13.
Yang, Chao, Hui Chen, Guixiang Tan, et al.. (2013). FOXM1 promotes the epithelial to mesenchymal transition by stimulating the transcription of Slug in human breast cancer. Cancer Letters. 340(1). 104–112. 91 indexed citations
14.
Jiang, Xia & Richard E. Neapolitan. (2012). Mining Pure, Strict Epistatic Interactions from High-Dimensional Datasets: Ameliorating the Curse of Dimensionality. PLoS ONE. 7(10). e46771–e46771. 13 indexed citations
15.
Qiao, Yuanyuan, Xia Jiang, Shuet Theng Lee, et al.. (2011). FOXQ1 Regulates Epithelial-Mesenchymal Transition in Human Cancers. Cancer Research. 71(8). 3076–3086. 143 indexed citations
16.
Wu, Zhenhua, et al.. (2011). Polycomb protein EZH2 regulates cancer cell fate decision in response to DNA damage. Cell Death and Differentiation. 18(11). 1771–1779. 72 indexed citations
17.
Jiang, Xia & Gregory F. Cooper. (2010). A Bayesian spatio-temporal method for disease outbreak detection. Journal of the American Medical Informatics Association. 17(4). 462–471. 24 indexed citations
18.
Jiang, Xia, Daniel B. Neill, & Gregory F. Cooper. (2009). A Bayesian network model for spatial event surveillance. International Journal of Approximate Reasoning. 51(2). 224–239. 12 indexed citations
19.
Jiang, Xia. (2007). Protective effect of Chinese compound(Ermiao powders) in experimental hyperuricemia and hyperuricemic renal impairment. 1 indexed citations
20.
Jiang, Xia. (2003). Analysis and Evaluation of the Nutritional Composition in Muscle of Three Species of Squilla. Acta Nutrimenta Sinica. 1 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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