Shaodong Dai
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Molecular Biology top 5%
- Epigenetics and DNA Methylation
- Cancer-related gene regulation
- Cell death mechanisms and regulation
- Redox biology and oxidative stress
Papers in
- Immunology 26
- Immune Cell Function and Interaction 17
- T-cell and B-cell Immunology 14
- Immunotherapy and Immune Responses 5
- Aging 1
- Co-authors
- John W. KapplerPhilippa MarrackFrances CrawfordHans EklundJames Scott‐BrownePeter SchürmannYanan ZhuXinqi Liu
- Journals
- Proceedings of the National Academy of Sciences (11 papers)Frontiers in Immunology (4 papers)Immunity (3 papers)The Journal of Experimental Medicine (3 papers)Nature (2 papers)
- Partner nations
- United StatesChinaSweden
In The Last Decade
Shaodong Dai
58 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 118
- Immunology 902
- Molecular Biology 1.5k
- Inorganic Chemistry 243
- Oncology 292
- Immunology and Allergy 63
Countries citing papers authored by Shaodong Dai
This map shows the geographic impact of Shaodong 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 Shaodong Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaodong Dai more than expected).
Fields of papers citing papers by Shaodong Dai
This network shows the impact of papers produced by Shaodong 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 Shaodong Dai. The network helps show where Shaodong Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaodong 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 | 0 | |
| 2 | 2022 | 8 | |
| 3 | 2022 | 2 | |
| 4 | 2021 | 32 | |
| 5 | 2020 | 6 | |
| 6 | 2020 | 20 | |
| 7 | 2019 | 40 | |
| 8 | 2018 | 24 | |
| 9 | 2017 | 14 | |
| 10 | 2015 | 42 | |
| 11 | 2014 | 87 | |
| 12 | 2012 | 39 | |
| 13 | 2008 | 136 | |
| 14 | 2007 | 106 | |
| 15 | 2006 | 43 | |
| 16 | 2003 | 96 | |
| 17 | 2003 | 11 | |
| 18 | 2002 | 62 | |
| 19 | 2000 | 34 | |
| 20 | 1996 | 82 |
About Shaodong Dai
Shaodong Dai is a scholar working on Immunology, Aging, Dermatology, Health, Toxicology and Mutagenesis and Molecular Biology, having authored 61 papers that have together received 2.9k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (17 papers), T-cell and B-cell Immunology (14 papers), Diabetes and associated disorders (6 papers), RNA modifications and cancer (6 papers), Redox biology and oxidative stress (6 papers), Immunotherapy and Immune Responses (5 papers), Sarcoidosis and Beryllium Toxicity Research (5 papers) and Contact Dermatitis and Allergies (5 papers). The work is most often cited by research in Immunology (902 citations), Molecular Biology (1.5k citations), Inorganic Chemistry (243 citations), Oncology (292 citations) and Immunology and Allergy (63 citations). Shaodong Dai has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include John W. Kappler, Philippa Marrack, Frances Crawford, Hans Eklund, James Scott‐Browne, Peter Schürmann, Yanan Zhu, Xinqi Liu, Gongyi Zhang and S. Ramaswamy. Their work appears in journals such as Proceedings of the National Academy of Sciences, Frontiers in Immunology, Immunity, The Journal of Experimental Medicine and Nature.
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.