Jun Dai
Impact in
- Hepatology top 5%
- Liver Disease and Transplantation
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research
Papers in
-
- Cancer, Hypoxia, and Metabolism 2
- Co-authors
- David D. KuZhiyong HouB LuoVictor W. HsuBryan A. BallifSteven P. GygiAimee M. PowelkaJian Li
- Journals
- Mini-Reviews in Medicinal Chemistry (2 papers)American Journal of Physiology-Heart and Circulatory Physiology (2 papers)Scientific Reports (1 paper)Endocrine Connections (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jun Dai
21 papers receiving 559 citations
Peers
Comparison fields: 5 of 77
- Hepatology 150
- Immunology and Allergy 51
- Cell Biology 89
- Biochemistry 39
- Hematology 42
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 6 | |
| 2 | 2023 | 6 | |
| 3 | 2023 | 6 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 4 | |
| 6 | 2022 | 4 | |
| 7 | 2022 | 16 | |
| 8 | 2021 | 1 | |
| 9 | 2020 | 25 | |
| 10 | 2019 | 14 | |
| 11 | Combination of CO2 laser-assisted uvulopalatopharyngoplasty and nasal cavity expansion enhances treatment of obstructive sleep apnea-hypopnea syndrome. | 2015 | 1 |
| 12 | 2005 | 130 | |
| 13 | 2002 | 52 | |
| 14 | Effects of cigarette smoke on nitric oxide synthase expression in the rat lung. | 1999 | 44 |
| 15 | 1999 | 7 | |
| 16 | 1997 | 175 | |
| 17 | 1997 | 42 | |
| 18 | 1996 | 16 | |
| 19 | 1995 | 16 | |
| 20 | 1992 | 4 |
About Jun Dai
Jun Dai is a scholar working on Cancer Research, Immunology and Allergy, Otorhinolaryngology, Physiology and Genetics, having authored 21 papers that have together received 575 indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (3 papers), Nitric Oxide and Endothelin Effects (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Bladder and Urothelial Cancer Treatments (2 papers), Ferroptosis and cancer prognosis (2 papers), RNA modifications and cancer (2 papers), Nasal Surgery and Airway Studies (2 papers) and Adrenal and Paraganglionic Tumors (2 papers). The work is most often cited by research in Hepatology (150 citations), Immunology and Allergy (51 citations), Cell Biology (89 citations), Biochemistry (39 citations) and Hematology (42 citations). Jun Dai has collaborated with scholars based in China, United States and Canada. Frequent co-authors include David D. Ku, Zhiyong Hou, B Luo, Victor W. Hsu, Bryan A. Ballif, Steven P. Gygi, Aimee M. Powelka, Jian Li, Gary A. Abrams and Michael B. Fallon. Their work appears in journals such as Mini-Reviews in Medicinal Chemistry, American Journal of Physiology-Heart and Circulatory Physiology, Scientific Reports, Endocrine Connections and Frontiers in Immunology.
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.