Yang Dong
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Nephrology top 5%
Papers in
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- RNA Interference and Gene Delivery 6
- RNA modifications and cancer 6
- Advanced biosensing and bioanalysis techniques 5
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- Cancer-related molecular mechanisms research 5
- MicroRNA in disease regulation 5
- Co-authors
- Zhou Songyang (4 shared papers)Hyeung Kim (3 shared papers)Xinglian Xu (4 shared papers)Quanyuan He (3 shared papers)Niansong Wang (8 shared papers)Hao Fu (7 shared papers)Ying Fan (8 shared papers)Yuanyan Xiong (2 shared papers)
- Journals
- BioMed Research International (2 papers)LWT (2 papers)Biochemical and Biophysical Research Communications (2 papers)Cell Death and Disease (2 papers)Journal of Orthopaedic Surgery and Research (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yang Dong
84 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 128
- Cancer Research 383
- Nephrology 111
- Molecular Biology 1.0k
- Aging 25
- Biotechnology 112
Countries citing papers authored by Yang Dong
This map shows the geographic impact of Yang Dong'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 Yang Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Dong more than expected).
Fields of papers citing papers by Yang Dong
This network shows the impact of papers produced by Yang Dong. 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 Yang Dong. The network helps show where Yang Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Yang Dong, 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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 113 | |
| 2 | 2011 | 109 | |
| 3 | 2015 | 108 | |
| 4 | 2022 | 74 | |
| 5 | 2019 | 67 | |
| 6 | 2019 | 64 | |
| 7 | 2020 | 64 | |
| 8 | 2013 | 58 | |
| 9 | 2012 | 57 | |
| 10 | 2013 | 53 | |
| 11 | 2020 | 51 | |
| 12 | 2015 | 51 | |
| 13 | 2017 | 47 | |
| 14 | 2020 | 45 | |
| 15 | 2017 | 38 | |
| 16 | 2021 | 36 | |
| 17 | 2020 | 35 | |
| 18 | 2021 | 35 | |
| 19 | 2021 | 35 | |
| 20 | 2023 | 34 |
About Yang Dong
Yang Dong is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Surgery and Oncology, having authored 85 papers that have together received 2.0k indexed citations. Recurring topics across this work include Bone Tumor Diagnosis and Treatments (9 papers), RNA Interference and Gene Delivery (6 papers), RNA modifications and cancer (6 papers), Sarcoma Diagnosis and Treatment (6 papers), Cancer-related molecular mechanisms research (5 papers), MicroRNA in disease regulation (5 papers), Advanced biosensing and bioanalysis techniques (5 papers) and Chronic Kidney Disease and Diabetes (4 papers). The work is most often cited by research in Cancer Research (383 citations), Nephrology (111 citations), Molecular Biology (1.0k citations), Aging (25 citations) and Biotechnology (112 citations). Yang Dong has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zhou Songyang, Hyeung Kim, Xinglian Xu, Quanyuan He, Niansong Wang, Hao Fu, Ying Fan, Yuanyan Xiong, Jiejun Wen and Qunzi Zhang. Their work appears in journals such as BioMed Research International, LWT, Biochemical and Biophysical Research Communications, Cell Death and Disease and Journal of Orthopaedic Surgery and 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.