Junlong Dang
Impact in
- Genetics top 5%
- Mesenchymal stem cell research
- Rheumatology top 5%
- Rheumatoid Arthritis Research and Therapies
- Systemic Lupus Erythematosus Research
Papers in
- Genetics 9
- Mesenchymal stem cell research 9
- Diabetes and associated disorders 2
- Rheumatology 10
- Rheumatoid Arthritis Research and Therapies 8
- Systemic Lupus Erythematosus Research 2
- Co-authors
- Song Guo Zheng (17 shared papers)Julie Wang (9 shared papers)Nancy J. Olsen (8 shared papers)Feng Huang (7 shared papers)Jia Yuan (6 shared papers)Youqiu Xue (4 shared papers)Ximei Zhang (5 shared papers)Wenbin Wu (5 shared papers)
- Journals
- Frontiers in Immunology (4 papers)Journal of Autoimmunity (2 papers)Journal of Advanced Research (2 papers)JCI Insight (1 paper)Stem Cell Research & Therapy (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Junlong Dang
21 papers receiving 654 citations
Peers
Comparison fields: 5 of 61
- Genetics 199
- Rheumatology 137
- Immunology 115
- Physiology 17
- Complementary and alternative medicine 40
Countries citing papers authored by Junlong Dang
This map shows the geographic impact of Junlong Dang'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 Junlong Dang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junlong Dang more than expected).
Fields of papers citing papers by Junlong Dang
This network shows the impact of papers produced by Junlong Dang. 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 Junlong Dang. The network helps show where Junlong Dang may publish in the future.
Co-authors
The 25 scholars most cited alongside Junlong Dang, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 80 | |
| 2 | 2017 | 78 | |
| 3 | 2023 | 63 | |
| 4 | 2017 | 56 | |
| 5 | 2019 | 56 | |
| 6 | 2020 | 39 | |
| 7 | 2020 | 38 | |
| 8 | 2024 | 38 | |
| 9 | 2019 | 34 | |
| 10 | 2021 | 33 | |
| 11 | 2020 | 29 | |
| 12 | 2023 | 28 | |
| 13 | 2023 | 18 | |
| 14 | 2022 | 17 | |
| 15 | 2022 | 16 | |
| 16 | 2021 | 14 | |
| 17 | 2021 | 11 | |
| 18 | 2024 | 9 | |
| 19 | A protocol for humanized synovitis mice model. | 2019 | 4 |
| 20 | 2020 | 2 |
About Junlong Dang
Junlong Dang is a scholar working on Genetics, Rheumatology, Immunology, Oncology and Molecular Biology, having authored 23 papers that have together received 665 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (9 papers), Rheumatoid Arthritis Research and Therapies (8 papers), T-cell and B-cell Immunology (4 papers), Extracellular vesicles in disease (3 papers), Diabetes and associated disorders (2 papers), Systemic Lupus Erythematosus Research (2 papers), Bone health and osteoporosis research (1 paper) and Cancer Immunotherapy and Biomarkers (1 paper). The work is most often cited by research in Genetics (199 citations), Rheumatology (137 citations), Immunology (115 citations), Physiology (17 citations) and Complementary and alternative medicine (40 citations). Junlong Dang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Song Guo Zheng, Julie Wang, Nancy J. Olsen, Feng Huang, Jia Yuan, Youqiu Xue, Ximei Zhang, Wenbin Wu, Jian Gu and Qing‐Ling Fu. Their work appears in journals such as Frontiers in Immunology, Journal of Autoimmunity, Journal of Advanced Research, JCI Insight and Stem Cell Research & Therapy.
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.