Dadi Jin
Impact in
-
- Bone health and osteoporosis research
- Rheumatology top 5%
- Osteoarthritis Treatment and Mechanisms
Papers in
- Surgery 24
- Pelvic and Acetabular Injuries 6
- Infectious Diseases and Tuberculosis 3
-
- Bone Metabolism and Diseases 10
- PI3K/AKT/mTOR signaling in cancer 4
- Co-authors
- Zhongmin Zhang (25 shared papers)Xiaochun Bai (23 shared papers)Jianting Chen (10 shared papers)Chunhong Jia (7 shared papers)Dongbin Qu (9 shared papers)Bin Huang (10 shared papers)Rongping Zhou (6 shared papers)Hao Zhang (1 shared paper)
- Journals
- Journal of Orthopaedic Surgery and Research (5 papers)The Spine Journal (2 papers)Frontiers in Oncology (2 papers)Journal of Orthopaedic Research® (2 papers)Spine (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Dadi Jin
87 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 104
- Orthopedics and Sports Medicine 177
- Rheumatology 206
- Pathology and Forensic Medicine 241
- Cancer Research 160
- Oncology 285
Countries citing papers authored by Dadi Jin
This map shows the geographic impact of Dadi Jin'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 Dadi Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dadi Jin more than expected).
Fields of papers citing papers by Dadi Jin
This network shows the impact of papers produced by Dadi Jin. 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 Dadi Jin. The network helps show where Dadi Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Dadi Jin, 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 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 195 | |
| 2 | Potential use of soluble CD44 in serum as indicator of tumor burden and metastasis in patients with gastric or colon cancer. | 1994 | 155 |
| 3 | 2016 | 125 | |
| 4 | 2004 | 114 | |
| 5 | 2016 | 100 | |
| 6 | 2015 | 85 | |
| 7 | 2013 | 78 | |
| 8 | 2013 | 72 | |
| 9 | 2013 | 71 | |
| 10 | 2011 | 70 | |
| 11 | 2013 | 68 | |
| 12 | 1998 | 50 | |
| 13 | 2003 | 49 | |
| 14 | 2016 | 47 | |
| 15 | 2000 | 43 | |
| 16 | 2016 | 41 | |
| 17 | 2016 | 40 | |
| 18 | 2013 | 36 | |
| 19 | 2019 | 32 | |
| 20 | 2018 | 31 |
About Dadi Jin
Dadi Jin is a scholar working on Surgery, Molecular Biology, Pathology and Forensic Medicine, Oncology and Genetics, having authored 89 papers that have together received 2.0k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (10 papers), Spine and Intervertebral Disc Pathology (9 papers), Bone health and treatments (8 papers), Pelvic and Acetabular Injuries (6 papers), Mesenchymal stem cell research (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Osteoarthritis Treatment and Mechanisms (3 papers) and Infectious Diseases and Tuberculosis (3 papers). The work is most often cited by research in Orthopedics and Sports Medicine (177 citations), Rheumatology (206 citations), Pathology and Forensic Medicine (241 citations), Cancer Research (160 citations) and Oncology (285 citations). Dadi Jin has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zhongmin Zhang, Xiaochun Bai, Jianting Chen, Chunhong Jia, Dongbin Qu, Bin Huang, Rongping Zhou, Hao Zhang, Ming Lu and Bo Yan. Their work appears in journals such as Journal of Orthopaedic Surgery and Research, The Spine Journal, Frontiers in Oncology, Journal of Orthopaedic Research® and Spine.
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.