Yu Jiang
Impact in
- Genetics top 10%
- Mesenchymal stem cell research
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- Radiomics and Machine Learning in Medical Imaging
Papers in
-
- Pluripotent Stem Cells Research 3
- Bone Metabolism and Diseases 3
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- Cardiac Imaging and Diagnostics 5
- Radiomics and Machine Learning in Medical Imaging 3
- Co-authors
- Song-Yan Liao (6 shared papers)Zhe Zhen (5 shared papers)Hung‐Fat Tse (5 shared papers)Wing‐Hon Lai (6 shared papers)Guoxin Li (2 shared papers)Qizhou Lian (2 shared papers)Yanfeng Hu (2 shared papers)Tao Tang (1 shared paper)
- Journals
- Cardiovascular Diabetology (3 papers)Frontiers in Pharmacology (3 papers)Stem Cell Research & Therapy (3 papers)Biomedicine & Pharmacotherapy (3 papers)Stem Cell Research (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Yu Jiang
80 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 102
- Genetics 81
- Radiology, Nuclear Medicine and Imaging 142
- Health Informatics 12
- Molecular Biology 280
- Gastroenterology 28
Countries citing papers authored by Yu Jiang
This map shows the geographic impact of Yu 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 Yu Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Jiang more than expected).
Fields of papers citing papers by Yu Jiang
This network shows the impact of papers produced by Yu 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 Yu Jiang. The network helps show where Yu Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu Jiang, 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 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 110 | |
| 2 | 2018 | 78 | |
| 3 | 2023 | 71 | |
| 4 | 2019 | 61 | |
| 5 | 2024 | 55 | |
| 6 | 2020 | 46 | |
| 7 | 2018 | 42 | |
| 8 | 2023 | 41 | |
| 9 | 2021 | 39 | |
| 10 | 2017 | 28 | |
| 11 | 2017 | 28 | |
| 12 | 2022 | 28 | |
| 13 | 2019 | 27 | |
| 14 | 2020 | 27 | |
| 15 | 2013 | 26 | |
| 16 | 2020 | 23 | |
| 17 | 2021 | 22 | |
| 18 | 2022 | 21 | |
| 19 | 2023 | 21 | |
| 20 | 2018 | 17 |
About Yu Jiang
Yu Jiang is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology, Genetics and Orthopedics and Sports Medicine, having authored 87 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (5 papers), Bone health and osteoporosis research (4 papers), Mesenchymal stem cell research (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Pluripotent Stem Cells Research (3 papers), Tissue Engineering and Regenerative Medicine (3 papers), Cancer Cells and Metastasis (3 papers) and Bone Metabolism and Diseases (3 papers). The work is most often cited by research in Genetics (81 citations), Radiology, Nuclear Medicine and Imaging (142 citations), Health Informatics (12 citations), Molecular Biology (280 citations) and Gastroenterology (28 citations). Yu Jiang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Song-Yan Liao, Zhe Zhen, Hung‐Fat Tse, Wing‐Hon Lai, Guoxin Li, Qizhou Lian, Yanfeng Hu, Tao Tang, Jing Ping Tang and Haitang Xie. Their work appears in journals such as Cardiovascular Diabetology, Frontiers in Pharmacology, Stem Cell Research & Therapy, Biomedicine & Pharmacotherapy and Stem Cell Research.
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.