J. Su
Impact in
- Biochemistry top 10%
- Phytochemicals and Antioxidant Activities
Papers in
- Co-authors
- Jia‐Ping Lai (1 shared paper)Choon Nam Ong (1 shared paper)Han‐Ming Shen (1 shared paper)Qiaohong Yang (10 shared papers)Long Huang (2 shared papers)Jun Xiao (2 shared papers)Xi Yuan (2 shared papers)Junlai Wan (2 shared papers)
- Journals
- Heart & Lung (2 papers)Nutrients (2 papers)Frontiers in Pediatrics (1 paper)Chaos Solitons & Fractals (1 paper)Biochemical Pharmacology (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
J. Su
48 papers receiving 441 citations
Peers
Comparison fields: 5 of 112
- Biochemistry 73
- Health Informatics 5
- Food Science 51
- Complementary and alternative medicine 19
- Biomaterials 31
Countries citing papers authored by J. Su
This map shows the geographic impact of J. 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 J. Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Su more than expected).
Fields of papers citing papers by J. Su
This network shows the impact of papers produced by J. 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 J. Su. The network helps show where J. Su may publish in the future.
Co-authors
The 25 scholars most cited alongside J. 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 166 | |
| 2 | 2022 | 27 | |
| 3 | 1983 | 27 | |
| 4 | 2022 | 19 | |
| 5 | 2019 | 18 | |
| 6 | 2022 | 18 | |
| 7 | 2022 | 16 | |
| 8 | 2022 | 15 | |
| 9 | 2024 | 13 | |
| 10 | 2023 | 9 | |
| 11 | 2023 | 9 | |
| 12 | 2023 | 8 | |
| 13 | 2024 | 8 | |
| 14 | 2021 | 7 | |
| 15 | 2023 | 7 | |
| 16 | 2022 | 7 | |
| 17 | 2024 | 6 | |
| 18 | 2022 | 6 | |
| 19 | Development of a Cardiovascular Disease Resilience Scale | 2010 | 6 |
| 20 | 2022 | 5 |
About J. Su
J. Su is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, General Health Professions, Endocrinology, Diabetes and Metabolism and Surgery, having authored 51 papers that have together received 465 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (2 papers), Endometrial and Cervical Cancer Treatments (2 papers), Nutrition, Genetics, and Disease (2 papers), Mental Health Research Topics (2 papers), Proteoglycans and glycosaminoglycans research (2 papers), Bone Tissue Engineering Materials (2 papers), Model Reduction and Neural Networks (2 papers) and Interprofessional Education and Collaboration (2 papers). The work is most often cited by research in Biochemistry (73 citations), Health Informatics (5 citations), Food Science (51 citations), Complementary and alternative medicine (19 citations) and Biomaterials (31 citations). J. Su has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Jia‐Ping Lai, Choon Nam Ong, Han‐Ming Shen, Qiaohong Yang, Long Huang, Jun Xiao, Xi Yuan, Junlai Wan, Xulin Jiang and Ye Zhang. Their work appears in journals such as Heart & Lung, Nutrients, Frontiers in Pediatrics, Chaos Solitons & Fractals and Biochemical Pharmacology.
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.