Dake Tong
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Orthopedics and Sports Medicine top 10%
- Tendon Structure and Treatment
Papers in
- Surgery 13
- Hip and Femur Fractures 5
- Orthopedic Infections and Treatments 3
- Orthopedic Surgery and Rehabilitation 2
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- Circular RNAs in diseases 4
- Co-authors
- Fang Ji (17 shared papers)Hao Tang (10 shared papers)Guangchao Wang (8 shared papers)Wenbin Ding (6 shared papers)Di Li (4 shared papers)Dajiang Wu (4 shared papers)Qiang Wei (4 shared papers)Zhiwei Wang (2 shared papers)
- Journals
- International Orthopaedics (3 papers)RSC Advances (2 papers)Molecular Neurobiology (1 paper)Journal of Orthopaedic Translation (1 paper)Medicine (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Dake Tong
26 papers receiving 747 citations
Peers
Comparison fields: 5 of 80
- Cancer Research 251
- Orthopedics and Sports Medicine 68
- Rehabilitation 38
- Molecular Biology 347
- Surgery 166
Countries citing papers authored by Dake Tong
This map shows the geographic impact of Dake Tong'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 Dake Tong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dake Tong more than expected).
Fields of papers citing papers by Dake Tong
This network shows the impact of papers produced by Dake Tong. 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 Dake Tong. The network helps show where Dake Tong may publish in the future.
Co-authors
The 25 scholars most cited alongside Dake Tong, 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 | 2017 | 129 | |
| 2 | 2013 | 118 | |
| 3 | 2008 | 64 | |
| 4 | 2015 | 57 | |
| 5 | 2022 | 48 | |
| 6 | 2011 | 39 | |
| 7 | 2018 | 39 | |
| 8 | 2022 | 36 | |
| 9 | 2011 | 30 | |
| 10 | 2018 | 26 | |
| 11 | 2019 | 25 | |
| 12 | 2016 | 25 | |
| 13 | 2021 | 24 | |
| 14 | 2010 | 21 | |
| 15 | 2021 | 15 | |
| 16 | 2018 | 13 | |
| 17 | 2022 | 12 | |
| 18 | 2020 | 9 | |
| 19 | 2012 | 8 | |
| 20 | 2017 | 7 |
About Dake Tong
Dake Tong is a scholar working on Surgery, Molecular Biology, Cancer Research, Epidemiology and Pathology and Forensic Medicine, having authored 27 papers that have together received 766 indexed citations. Recurring topics across this work include Bone fractures and treatments (6 papers), MicroRNA in disease regulation (6 papers), Hip and Femur Fractures (5 papers), Circular RNAs in diseases (4 papers), Orthopedic Infections and Treatments (3 papers), Orthopedic Surgery and Rehabilitation (2 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers) and Tendon Structure and Treatment (2 papers). The work is most often cited by research in Cancer Research (251 citations), Orthopedics and Sports Medicine (68 citations), Rehabilitation (38 citations), Molecular Biology (347 citations) and Surgery (166 citations). Dake Tong has collaborated with scholars based in China and United States. Frequent co-authors include Fang Ji, Hao Tang, Guangchao Wang, Wenbin Ding, Di Li, Dajiang Wu, Qiang Wei, Zhiwei Wang, Chen Ding and Ping Chen. Their work appears in journals such as International Orthopaedics, RSC Advances, Molecular Neurobiology, Journal of Orthopaedic Translation and Medicine.
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.