Jun Dai
Impact in
- Immunology top 10%
- Immune cells in cancer
- Immune Response and Inflammation
- Immune Cell Function and Interaction
- Inflammation biomarkers and pathways
- Reproductive System and Pregnancy
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- Enzyme Production and Characterization
Papers in
- Immunology 24
- Immune Response and Inflammation 15
- Immune cells in cancer 11
- Inflammation biomarkers and pathways 4
- interferon and immune responses 3
- Immune Cell Function and Interaction 3
- Co-authors
- Mohamed El Gazzar (5 shared papers)Zhi Q. Yao (4 shared papers)Guang Y. Li (2 shared papers)Jonathan P. Moorman (2 shared papers)Dima Youssef (3 shared papers)Qun Ma (12 shared papers)Junfeng Zhang (11 shared papers)Fenglian Yan (13 shared papers)
- Journals
- International Immunopharmacology (3 papers)Immunology (3 papers)Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease (2 papers)Frontiers in Immunology (2 papers)Cellular and Molecular Immunology (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jun Dai
47 papers receiving 570 citations
Peers
Comparison fields: 5 of 81
- Immunology 266
- Biotechnology 36
- Hepatology 28
- Neurology 26
- Cancer Research 44
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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 73 | |
| 2 | 2016 | 51 | |
| 3 | 2019 | 46 | |
| 4 | 2017 | 37 | |
| 5 | 2015 | 31 | |
| 6 | 2017 | 29 | |
| 7 | Hepatoprotective effect of capsaicin against concanavalin A-induced hepatic injury via inhibiting oxidative stress and inflammation. | 2019 | 29 |
| 8 | 2017 | 22 | |
| 9 | 2020 | 22 | |
| 10 | 2018 | 20 | |
| 11 | 2009 | 18 | |
| 12 | 2012 | 18 | |
| 13 | 2018 | 17 | |
| 14 | 2017 | 15 | |
| 15 | 2004 | 13 | |
| 16 | 2016 | 12 | |
| 17 | 2018 | 11 | |
| 18 | 2011 | 10 | |
| 19 | 2016 | 10 | |
| 20 | 2019 | 9 |
About Jun Dai
Jun Dai is a scholar working on Immunology, Molecular Biology, Epidemiology, Surgery and Oncology, having authored 47 papers that have together received 579 indexed citations. Recurring topics across this work include Immune Response and Inflammation (15 papers), Immune cells in cancer (11 papers), Hepatitis B Virus Studies (4 papers), Inflammation biomarkers and pathways (4 papers), Liver Disease Diagnosis and Treatment (4 papers), interferon and immune responses (3 papers), Cholesterol and Lipid Metabolism (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Immunology (266 citations), Biotechnology (36 citations), Hepatology (28 citations), Neurology (26 citations) and Cancer Research (44 citations). Jun Dai has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Mohamed El Gazzar, Zhi Q. Yao, Guang Y. Li, Jonathan P. Moorman, Dima Youssef, Qun Ma, Junfeng Zhang, Fenglian Yan, Chunxia Li and Guanjun Dong. Their work appears in journals such as International Immunopharmacology, Immunology, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, Frontiers in Immunology and Cellular and Molecular 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.