Jun Dai
Impact in
- Rheumatology top 2%
- Osteoarthritis Treatment and Mechanisms
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Single-cell and spatial transcriptomics 4
- CRISPR and Genetic Engineering 3
- Extracellular vesicles in disease 2
- Epigenetics and DNA Methylation 2
-
- Osteoarthritis Treatment and Mechanisms 6
- Co-authors
- Hongwei Ouyang (8 shared papers)Boon Chin Heng (4 shared papers)Dongsheng Yu (5 shared papers)Hua Liu (2 shared papers)Xiaohui Zou (2 shared papers)Shouan Zhu (6 shared papers)Jing Zhou (1 shared paper)Fang Zhou (1 shared paper)
- Journals
- Ageing Research Reviews (2 papers)Bioinformatics (1 paper)Journal of Orthopaedic Translation (1 paper)Stem Cell Research & Therapy (1 paper)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- ChinaFinlandUnited States
In The Last Decade
Jun Dai
24 papers receiving 1.2k citations
Jun Dai's Hit Papers
Peers
Comparison fields: 5 of 116
- Rheumatology 347
- Cancer Research 235
- Genetics 157
- Urology 68
- Orthopedics and Sports Medicine 72
Countries citing papers authored by Jun Dai
This map shows the geographic impact of Jun Dai'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 Jun Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Dai more than expected).
Fields of papers citing papers by Jun Dai
This network shows the impact of papers produced by Jun Dai. 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 Jun Dai. The network helps show where Jun Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Dai, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Exosomes from embryonic mesenchymal stem cells alleviate osteoarthritis through balancing synthesis and degradation of cartilage extracellular matrix Hit paper breakdown → | 2017 | 379 |
| 2 | 2014 | 173 | |
| 3 | 2017 | 150 | |
| 4 | 2018 | 119 | |
| 5 | 2022 | 103 | |
| 6 | 2017 | 60 | |
| 7 | 2016 | 51 | |
| 8 | 2019 | 43 | |
| 9 | 2015 | 28 | |
| 10 | 2020 | 25 | |
| 11 | 2024 | 20 | |
| 12 | 2020 | 17 | |
| 13 | 2019 | 14 | |
| 14 | 2021 | 12 | |
| 15 | 2024 | 10 | |
| 16 | 2011 | 9 | |
| 17 | 2023 | 8 | |
| 18 | 2025 | 7 | |
| 19 | 2025 | 5 | |
| 20 | 2025 | 3 |
About Jun Dai
Jun Dai is a scholar working on Molecular Biology, Rheumatology, Cancer Research, Genetics and Epidemiology, having authored 25 papers that have together received 1.2k indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (6 papers), Single-cell and spatial transcriptomics (4 papers), Cancer Genomics and Diagnostics (3 papers), CRISPR and Genetic Engineering (3 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Extracellular vesicles in disease (2 papers), Epigenetics and DNA Methylation (2 papers) and Mesenchymal stem cell research (2 papers). The work is most often cited by research in Rheumatology (347 citations), Cancer Research (235 citations), Genetics (157 citations), Urology (68 citations) and Orthopedics and Sports Medicine (72 citations). Jun Dai has collaborated with scholars based in China, Finland and United States. Frequent co-authors include Hongwei Ouyang, Boon Chin Heng, Dongsheng Yu, Hua Liu, Xiaohui Zou, Shouan Zhu, Jing Zhou, Fang Zhou, Zhiming Liu and Yafei Wang. Their work appears in journals such as Ageing Research Reviews, Bioinformatics, Journal of Orthopaedic Translation, Stem Cell Research & Therapy and Biochemical and Biophysical Research Communications.
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.