Keda Yang
Impact in
- Orthopedics and Sports Medicine top 10%
- Bone health and osteoporosis research
- Bone and Joint Diseases
-
- Gout, Hyperuricemia, Uric Acid
Papers in
-
- Bone Metabolism and Diseases 5
- Metabolism, Diabetes, and Cancer 2
- Co-authors
- Lin Tao (16 shared papers)Siming Zhou (8 shared papers)Kaicheng Wen (6 shared papers)Wacili Da (6 shared papers)Yue Zhu (5 shared papers)Zhengbo Tao (5 shared papers)Hao Li (2 shared papers)Jiajin Hu (1 shared paper)
- Journals
- International Journal of Molecular Medicine (3 papers)Biomedicine & Pharmacotherapy (3 papers)Scientific Reports (3 papers)Frontiers in Immunology (2 papers)Heliyon (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Keda Yang
31 papers receiving 696 citations
Keda Yang's Hit Papers
Peers
Comparison fields: 5 of 112
- Orthopedics and Sports Medicine 68
- Nephrology 26
- Molecular Biology 264
- Cancer Research 43
- Modeling and Simulation 13
Countries citing papers authored by Keda Yang
This map shows the geographic impact of Keda Yang'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 Keda Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keda Yang more than expected).
Fields of papers citing papers by Keda Yang
This network shows the impact of papers produced by Keda Yang. 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 Keda Yang. The network helps show where Keda Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Keda Yang, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Oxidative stress: A common pathological state in a high-risk population for osteoporosis Hit paper breakdown → | 2023 | 128 |
| 2 | 2020 | 64 | |
| 3 | 2020 | 60 | |
| 4 | 2021 | 55 | |
| 5 | 2022 | 39 | |
| 6 | 2024 | 38 | |
| 7 | 2021 | 33 | |
| 8 | 2022 | 32 | |
| 9 | 2021 | 32 | |
| 10 | 2018 | 31 | |
| 11 | 2022 | 26 | |
| 12 | 2022 | 18 | |
| 13 | 2023 | 17 | |
| 14 | 2021 | 16 | |
| 15 | 2021 | 15 | |
| 16 | 2024 | 13 | |
| 17 | 2024 | 12 | |
| 18 | 2024 | 9 | |
| 19 | 2019 | 9 | |
| 20 | 2024 | 8 |
About Keda Yang
Keda Yang is a scholar working on Molecular Biology, Epidemiology, Oncology, Rheumatology and Genetics, having authored 32 papers that have together received 700 indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (5 papers), Metabolism, Diabetes, and Cancer (2 papers), Adipose Tissue and Metabolism (2 papers), Bone health and treatments (2 papers), COVID-19 Clinical Research Studies (2 papers), Biomarkers in Disease Mechanisms (1 paper), Osteoarthritis Treatment and Mechanisms (1 paper) and Advanced Photocatalysis Techniques (1 paper). The work is most often cited by research in Orthopedics and Sports Medicine (68 citations), Nephrology (26 citations), Molecular Biology (264 citations), Cancer Research (43 citations) and Modeling and Simulation (13 citations). Keda Yang has collaborated with scholars based in China and United States. Frequent co-authors include Lin Tao, Siming Zhou, Kaicheng Wen, Wacili Da, Yue Zhu, Zhengbo Tao, Hao Li, Jiajin Hu, Chi Zhang and Jie Li. Their work appears in journals such as International Journal of Molecular Medicine, Biomedicine & Pharmacotherapy, Scientific Reports, Frontiers in Immunology and Heliyon.
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.