Kuan‐Jui Su

642 total citations
27 papers, 337 citations indexed

About

Kuan‐Jui Su is a scholar working on Molecular Biology, Genetics and Orthopedics and Sports Medicine. According to data from OpenAlex, Kuan‐Jui Su has authored 27 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 9 papers in Genetics and 8 papers in Orthopedics and Sports Medicine. Recurrent topics in Kuan‐Jui Su's work include Genetic Associations and Epidemiology (9 papers), Bone health and osteoporosis research (8 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). Kuan‐Jui Su is often cited by papers focused on Genetic Associations and Epidemiology (9 papers), Bone health and osteoporosis research (8 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). Kuan‐Jui Su collaborates with scholars based in United States and China. Kuan‐Jui Su's co-authors include Hong‐Wen Deng, Hui Shen, Lan‐Juan Zhao, Chuan Qiu, Jonathan Greenbaum, Qi Zhao, Jiawang Liu, Timothy J. Garrett, Jie Shen and Lin Xu and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Kuan‐Jui Su

27 papers receiving 333 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kuan‐Jui Su United States 10 198 103 72 64 27 27 337
Le Bu China 8 143 0.7× 73 0.7× 67 0.9× 35 0.5× 10 0.4× 13 365
Wenjie Xu China 11 106 0.5× 32 0.3× 12 0.2× 27 0.4× 8 0.3× 36 362
Jody van den Ouweland Netherlands 11 318 1.6× 35 0.3× 17 0.2× 45 0.7× 7 0.3× 19 489
In Soon Kang South Korea 10 193 1.0× 28 0.3× 25 0.3× 7 0.1× 15 0.6× 26 331
Nicolás Peña Spain 12 102 0.5× 150 1.5× 7 0.1× 45 0.7× 18 0.7× 17 437
Carmen P. Ortega‐Santos United States 7 84 0.4× 62 0.6× 14 0.2× 18 0.3× 4 0.1× 16 201
Jasmine Chong Canada 5 223 1.1× 34 0.3× 4 0.1× 33 0.5× 16 0.6× 8 446
Kelsey McLaughlin United States 10 151 0.8× 99 1.0× 19 0.3× 7 0.1× 2 0.1× 16 300
Claudia R. Turner United States 14 204 1.0× 296 2.9× 7 0.1× 27 0.4× 14 0.5× 25 589

Countries citing papers authored by Kuan‐Jui Su

Since Specialization
Citations

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

Fields of papers citing papers by Kuan‐Jui Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuan‐Jui Su. 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 Kuan‐Jui Su. The network helps show where Kuan‐Jui Su may publish in the future.

Co-authorship network of co-authors of Kuan‐Jui Su

This figure shows the co-authorship network connecting the top 25 collaborators of Kuan‐Jui Su. A scholar is included among the top collaborators of Kuan‐Jui Su 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 Kuan‐Jui Su. Kuan‐Jui Su 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.
Li, Yisu, Chuan Qiu, Yun Gong, et al.. (2025). Mapping the spatial atlas of the human bone tissue integrating spatial and single-cell transcriptomics. Nucleic Acids Research. 53(2). 5 indexed citations
2.
Larsen, Kristoffer, Nancy E. Lane, Zhao Chen, et al.. (2024). A staged approach using machine learning and uncertainty quantification to predict the risk of hip fracture. Bone Reports. 22. 101805–101805. 1 indexed citations
3.
Ji, Jiadong, Kuan‐Jui Su, Chuan Qiu, et al.. (2024). omicsMIC: a comprehensive benchmarking platform for robust comparison of imputation methods in mass spectrometry-based omics data. NAR Genomics and Bioinformatics. 6(2). lqae071–lqae071. 3 indexed citations
4.
Meng, Xiang‐He, Chong Wu, Kuan‐Jui Su, et al.. (2024). Variability in performance of genetic-enhanced DXA-BMD prediction models across diverse ethnic and geographic populations: A risk prediction study. PLoS Medicine. 21(8). e1004451–e1004451. 2 indexed citations
5.
Xu, Lulu, Lin Xu, Jie Shen, et al.. (2024). Identification of the serum metabolites associated with cow milk consumption in Chinese Peri-/Postmenopausal women. International Journal of Food Sciences and Nutrition. 75(6). 537–549. 1 indexed citations
6.
Qiu, Chuan, Kuan‐Jui Su, Zhe Luo, et al.. (2024). Developing and comparing deep learning and machine learning algorithms for osteoporosis risk prediction. Frontiers in Artificial Intelligence. 7. 1355287–1355287. 5 indexed citations
7.
Hu, Mingyue, Kai Zhang, Kuan‐Jui Su, et al.. (2024). Unveiling the link between physical activity levels and dementia risk: Insights from the UK Biobank study. Psychiatry Research. 336. 115875–115875. 2 indexed citations
8.
Chen, Zhao, Joyce H. Keyak, Li Wu, et al.. (2023). Multi-view information fusion using multi-view variational autoencoder to predict proximal femoral fracture load. Frontiers in Endocrinology. 14. 1261088–1261088. 3 indexed citations
9.
Su, Kuan‐Jui, Xingying Chen, Rui Gong, et al.. (2023). Systematic metabolomic studies identified adult adiposity biomarkers with acetylglycine associated with fat loss in vivo. Frontiers in Molecular Biosciences. 10. 1166333–1166333. 5 indexed citations
10.
Du, Yan, Yuanyuan Li, Byeong Yeob Choi, et al.. (2023). Metabolomic profiles associated with physical activity in White and African American adult men. PLoS ONE. 18(11). e0289077–e0289077. 2 indexed citations
11.
Greenbaum, Jonathan, Lin Xu, Kuan‐Jui Su, et al.. (2022). Integration of the Human Gut Microbiome and Serum Metabolome Reveals Novel Biological Factors Involved in the Regulation of Bone Mineral Density. Frontiers in Cellular and Infection Microbiology. 12. 853499–853499. 22 indexed citations
12.
Song, Meng, Jonathan Greenbaum, Joseph Luttrell, et al.. (2022). An autoencoder-based deep learning method for genotype imputation. Frontiers in Artificial Intelligence. 5. 1028978–1028978. 8 indexed citations
13.
Liu, Anqi, Yong Liu, Kuan‐Jui Su, et al.. (2021). A transcriptome-wide association study to detect novel genes for volumetric bone mineral density. Bone. 153. 116106–116106. 3 indexed citations
14.
Peng, Cheng, Feng Liu, Kuan‐Jui Su, et al.. (2021). Enhanced Identification of Novel Potential Variants for Appendicular Lean Mass by Leveraging Pleiotropy With Bone Mineral Density. Frontiers in Immunology. 12. 643894–643894. 1 indexed citations
15.
Qiu, Chuan, Kuan‐Jui Su, Qi Zhao, et al.. (2020). Multi-omics Data Integration for Identifying Osteoporosis Biomarkers and Their Biological Interaction and Causal Mechanisms. iScience. 23(2). 100847–100847. 41 indexed citations
16.
Mo, Chenglin, Hui Shen, Lan‐Juan Zhao, et al.. (2020). Quantification of aminobutyric acids and their clinical applications as biomarkers for osteoporosis. Communications Biology. 3(1). 39–39. 61 indexed citations
17.
Zhao, Qi, Hui Shen, Kuan‐Jui Su, et al.. (2018). Metabolomic profiles associated with bone mineral density in US Caucasian women. Nutrition & Metabolism. 15(1). 57–57. 55 indexed citations
18.
Zhu, Wei, Chao Xu, Jianguo Zhang, et al.. (2018). Gene-based GWAS analysis for consecutive studies of GEFOS. Osteoporosis International. 29(12). 2645–2658. 7 indexed citations
19.
Peng, Cheng, Huiling Lou, Feng Liu, et al.. (2017). Enhanced Identification of Potential Pleiotropic Genetic Variants for Bone Mineral Density and Breast Cancer. Calcified Tissue International. 101(5). 489–500. 11 indexed citations
20.
Peng, Cheng, Jie Shen, Lin Xu, et al.. (2017). Genetic sharing with coronary artery disease identifies potential novel loci for bone mineral density. Bone. 103. 70–77. 21 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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