Kuan‐Jui Su
Impact in
- Orthopedics and Sports Medicine top 10%
- Bone health and osteoporosis research
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- Nutrition and Health in Aging
- Diet and metabolism studies
Papers in
-
- Metabolomics and Mass Spectrometry Studies 7
- Bone Metabolism and Diseases 4
- Bioinformatics and Genomic Networks 3
- Gene expression and cancer classification 2
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- Bone health and osteoporosis research 8
- Co-authors
- Hong‐Wen Deng (23 shared papers)Hui Shen (16 shared papers)Lan‐Juan Zhao (13 shared papers)Chuan Qiu (15 shared papers)Jonathan Greenbaum (9 shared papers)Qi Zhao (4 shared papers)Jiawang Liu (3 shared papers)Timothy J. Garrett (2 shared papers)
- Journals
- Aging (2 papers)Bone (2 papers)iScience (1 paper)Frontiers in Cellular and Infection Microbiology (1 paper)The Journal of Clinical Endocrinology & Metabolism (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Kuan‐Jui Su
27 papers receiving 358 citations
Peers
Comparison fields: 5 of 69
- Orthopedics and Sports Medicine 55
- Physiology 80
- Molecular Biology 178
- Genetics 57
- Health Informatics 2
Countries citing papers authored by Kuan‐Jui Su
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
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-authors
The 25 scholars most cited alongside Kuan‐Jui Su, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 65 | |
| 2 | 2018 | 56 | |
| 3 | 2020 | 42 | |
| 4 | 2018 | 30 | |
| 5 | 2022 | 23 | |
| 6 | 2017 | 21 | |
| 7 | 2020 | 19 | |
| 8 | 2021 | 14 | |
| 9 | 2022 | 14 | |
| 10 | 2025 | 12 | |
| 11 | 2017 | 11 | |
| 12 | 2022 | 8 | |
| 13 | 2018 | 8 | |
| 14 | 2024 | 6 | |
| 15 | 2023 | 5 | |
| 16 | 2024 | 3 | |
| 17 | 2025 | 3 | |
| 18 | 2024 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2024 | 3 |
About Kuan‐Jui Su
Kuan‐Jui Su is a scholar working on Molecular Biology, Orthopedics and Sports Medicine, Genetics, Physiology and Surgery, having authored 27 papers that have together received 362 indexed citations. Recurring topics across this work include Bone health and osteoporosis research (8 papers), Metabolomics and Mass Spectrometry Studies (7 papers), Genetic Associations and Epidemiology (7 papers), Bone Metabolism and Diseases (4 papers), Bioinformatics and Genomic Networks (3 papers), Diet and metabolism studies (2 papers), Gene expression and cancer classification (2 papers) and Muscle metabolism and nutrition (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (55 citations), Physiology (80 citations), Molecular Biology (178 citations), Genetics (57 citations) and Health Informatics (2 citations). Kuan‐Jui Su has collaborated with scholars based in United States and China. Frequent co-authors include Hong‐Wen Deng, Hui Shen, Lan‐Juan Zhao, Chuan Qiu, Jonathan Greenbaum, Qi Zhao, Jiawang Liu, Timothy J. Garrett, Qing Tian and Jie Shen. Their work appears in journals such as Aging, Bone, iScience, Frontiers in Cellular and Infection Microbiology and The Journal of Clinical Endocrinology & Metabolism.
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.