Junlong Dang
Impact in
Papers in
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- Extracellular vesicles in disease 3
- Hedgehog Signaling Pathway Studies 2
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- T-cell and B-cell Immunology 6
- Immune Cell Function and Interaction 6
- Co-authors
- Song Guo Zheng (15 shared papers)Julie Wang (9 shared papers)Nancy J. Olsen (8 shared papers)Feng Huang (7 shared papers)Jia Yuan (6 shared papers)Ximei Zhang (5 shared papers)Youqiu Xue (4 shared papers)Jian Gu (2 shared papers)
- Journals
- Frontiers in Immunology (4 papers)Journal of Advanced Research (2 papers)Journal of Autoimmunity (2 papers)Stem Cell Research & Therapy (1 paper)Biomedicine & Pharmacotherapy (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Junlong Dang
20 papers receiving 548 citations
Peers
Comparison fields: 5 of 67
- Genetics 178
- Urology 65
- Physiology 41
- Immunology 169
- Rheumatology 68
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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 77 | |
| 2 | 2017 | 76 | |
| 3 | 2017 | 54 | |
| 4 | 2019 | 52 | |
| 5 | 2020 | 36 | |
| 6 | 2020 | 35 | |
| 7 | 2019 | 32 | |
| 8 | 2021 | 32 | |
| 9 | 2024 | 28 | |
| 10 | 2020 | 26 | |
| 11 | 2023 | 24 | |
| 12 | 2022 | 15 | |
| 13 | 2022 | 15 | |
| 14 | 2023 | 14 | |
| 15 | 2021 | 13 | |
| 16 | 2021 | 9 | |
| 17 | 2024 | 9 | |
| 18 | A protocol for humanized synovitis mice model. | 2019 | 4 |
| 19 | 2020 | 2 | |
| 20 | 2024 | 2 |
About Junlong Dang
Junlong Dang is a scholar working on Molecular Biology, Immunology, Genetics, Oncology and Rheumatology, having authored 21 papers that have together received 555 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (6 papers), Mesenchymal stem cell research (5 papers), Adenosine and Purinergic Signaling (3 papers), Extracellular vesicles in disease (3 papers), MicroRNA in disease regulation (3 papers), Diabetes and associated disorders (2 papers) and Hedgehog Signaling Pathway Studies (2 papers). The work is most often cited by research in Genetics (178 citations), Urology (65 citations), Physiology (41 citations), Immunology (169 citations) and Rheumatology (68 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, Ximei Zhang, Youqiu Xue, Jian Gu, Wenbin Wu and Qing‐Ling Fu. Their work appears in journals such as Frontiers in Immunology, Journal of Advanced Research, Journal of Autoimmunity, Stem Cell Research & Therapy and Biomedicine & Pharmacotherapy.
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.