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
Papers in
- Immunology 24
- Immune Response and Inflammation 15
- Immune cells in cancer 11
- Inflammation biomarkers and pathways 4
- Immune Cell Function and Interaction 3
- interferon and immune responses 3
- Co-authors
- Mohamed El Gazzar (5 shared papers)Zhi Q. Yao (4 shared papers)Jonathan P. Moorman (2 shared papers)Guang Y. Li (2 shared papers)Dima Youssef (3 shared papers)Chunxia Li (12 shared papers)Qun Ma (12 shared papers)Guanjun Dong (12 shared papers)
- Journals
- Immunology (3 papers)International Immunopharmacology (3 papers)Frontiers in Immunology (2 papers)Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease (2 papers)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jun Dai
48 papers receiving 556 citations
Peers
Comparison fields: 5 of 82
- Immunology 288
- Hepatology 45
- Biotechnology 36
- Cancer Research 55
- Neurology 29
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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 73 | |
| 2 | 2016 | 51 | |
| 3 | 2019 | 41 | |
| 4 | 2017 | 36 | |
| 5 | 2015 | 30 | |
| 6 | 2017 | 28 | |
| 7 | Hepatoprotective effect of capsaicin against concanavalin A-induced hepatic injury via inhibiting oxidative stress and inflammation. | 2019 | 28 |
| 8 | 2017 | 21 | |
| 9 | 2018 | 19 | |
| 10 | 2012 | 18 | |
| 11 | 2020 | 18 | |
| 12 | 2018 | 17 | |
| 13 | 2009 | 17 | |
| 14 | 2017 | 15 | |
| 15 | 2004 | 12 | |
| 16 | 2016 | 12 | |
| 17 | 2018 | 11 | |
| 18 | 2011 | 10 | |
| 19 | 2019 | 9 | |
| 20 | 2016 | 9 |
About Jun Dai
Jun Dai is a scholar working on Immunology, Molecular Biology, Epidemiology, Surgery and Hepatology, having authored 48 papers that have together received 565 indexed citations. Recurring topics across this work include Immune Response and Inflammation (15 papers), Immune cells in cancer (11 papers), Liver Disease Diagnosis and Treatment (9 papers), Hepatitis B Virus Studies (6 papers), Hepatitis C virus research (5 papers), Inflammation biomarkers and pathways (4 papers), Immune Cell Function and Interaction (3 papers) and interferon and immune responses (3 papers). The work is most often cited by research in Immunology (288 citations), Hepatology (45 citations), Biotechnology (36 citations), Cancer Research (55 citations) and Neurology (29 citations). Jun Dai has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Mohamed El Gazzar, Zhi Q. Yao, Jonathan P. Moorman, Guang Y. Li, Dima Youssef, Chunxia Li, Qun Ma, Guanjun Dong, Fenglian Yan and Junfeng Zhang. Their work appears in journals such as Immunology, International Immunopharmacology, Frontiers in Immunology, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease and Scientific Reports.
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.