Shen Dai
Impact in
- Virology top 5%
- HIV Research and Treatment
Papers in
-
- Immune Cell Function and Interaction 3
- Complement system in diseases 3
- Atherosclerosis and Cardiovascular Diseases 3
- Co-authors
- Xuebin Qin (11 shared papers)Fengming Liu (12 shared papers)Xianming Mo (1 shared paper)Raj Putatunda (1 shared paper)Chaoran Yin (1 shared paper)Ting Zhang (1 shared paper)Lining Zhang (4 shared papers)Xiying Qu (1 shared paper)
- Journals
- Building and Environment (5 papers)Experimental Biology and Medicine (1 paper)Hepatology (1 paper)International Immunopharmacology (1 paper)PLoS ONE (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Shen Dai
22 papers receiving 731 citations
Peers
Comparison fields: 5 of 96
- Business and International Management 40
- Virology 83
- Immunology 154
- Hepatology 51
- Aging 9
Countries citing papers authored by Shen Dai
This map shows the geographic impact of Shen 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 Shen Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shen Dai more than expected).
Fields of papers citing papers by Shen Dai
This network shows the impact of papers produced by Shen 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 Shen Dai. The network helps show where Shen Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Shen 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 211 | |
| 2 | 2013 | 77 | |
| 3 | 2021 | 59 | |
| 4 | 2019 | 55 | |
| 5 | 2016 | 47 | |
| 6 | 2020 | 42 | |
| 7 | 2019 | 31 | |
| 8 | 2014 | 24 | |
| 9 | 2015 | 24 | |
| 10 | 2014 | 22 | |
| 11 | 2014 | 22 | |
| 12 | 2019 | 19 | |
| 13 | 2019 | 18 | |
| 14 | 2018 | 18 | |
| 15 | 2014 | 14 | |
| 16 | 2022 | 12 | |
| 17 | 2019 | 10 | |
| 18 | 2017 | 9 | |
| 19 | 2017 | 9 | |
| 20 | 2021 | 7 |
About Shen Dai
Shen Dai is a scholar working on Immunology, Molecular Biology, Epidemiology, Aerospace Engineering and Computational Mechanics, having authored 23 papers that have together received 737 indexed citations. Recurring topics across this work include Aerodynamics and Acoustics in Jet Flows (5 papers), Wind and Air Flow Studies (3 papers), Liver physiology and pathology (3 papers), Immune Cell Function and Interaction (3 papers), Complement system in diseases (3 papers), Fluid Dynamics and Turbulent Flows (3 papers), Atherosclerosis and Cardiovascular Diseases (3 papers) and Infection Control and Ventilation (2 papers). The work is most often cited by research in Business and International Management (40 citations), Virology (83 citations), Immunology (154 citations), Hepatology (51 citations) and Aging (9 citations). Shen Dai has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xuebin Qin, Fengming Liu, Xianming Mo, Raj Putatunda, Chaoran Yin, Ting Zhang, Lining Zhang, Xiying Qu, Xiao Xiao and Yonggang Zhang. Their work appears in journals such as Building and Environment, Experimental Biology and Medicine, Hepatology, International Immunopharmacology and PLoS ONE.
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.