Yao Dai
- Immunology top 10%
- Atherosclerosis and Cardiovascular Diseases 17
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 3
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- Diabetes Treatment and Management 4
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- Inflammasome and immune disorders 4
- Nephrology top 10%
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- Inflammatory mediators and NSAID effects 4
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- Neuroinflammation and Neurodegeneration Mechanisms 3
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- Adipokines, Inflammation, and Metabolic Diseases 3
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- Peptidase Inhibition and Analysis 3
- Co-authors
- Jawahar L. MehtaXianwei WangZufeng DingMagomed KhaidakovShijie LiuDongsheng DaiMingwei ChenFederico Mercanti
- Journals
- SHILAP Revista de lepidopterología (1 paper)Oncogene (1 paper)Scientific Reports (3 papers)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Yao Dai
37 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 129
- Immunology 370
- Endocrinology, Diabetes and Metabolism 238
- Cancer Research 156
- Molecular Biology 461
- Nephrology 46
Countries citing papers authored by Yao Dai
This map shows the geographic impact of Yao 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 Yao Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yao Dai more than expected).
Fields of papers citing papers by Yao Dai
This network shows the impact of papers produced by Yao 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 Yao Dai. The network helps show where Yao Dai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yao 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 23 | |
| 6 | 2023 | 0 | |
| 7 | 2021 | 7 | |
| 8 | 2017 | 39 | |
| 9 | 2016 | 70 | |
| 10 | 2015 | 43 | |
| 11 | 2015 | 20 | |
| 12 | 2014 | 102 | |
| 13 | 2014 | 15 | |
| 14 | 2013 | 137 | |
| 15 | 2013 | 172 | |
| 16 | 2013 | 21 | |
| 17 | 2013 | 39 | |
| 18 | 2013 | 43 | |
| 19 | 2012 | 20 | |
| 20 | Spatial Load Forecasting for Distribution Networks Based on Rough Sets and Cellular Automata | 2008 | 4 |
About Yao Dai
Yao Dai is a scholar working on Immunology, Neurology and Urban Studies, having authored 40 papers that have together received 1.2k indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (17 papers), Inflammasome and immune disorders (4 papers), Diabetes Treatment and Management (4 papers), Inflammatory mediators and NSAID effects (4 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Immunology (370 citations), Endocrinology, Diabetes and Metabolism (238 citations) and Cancer Research (156 citations). Yao Dai has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Jawahar L. Mehta, Xianwei Wang, Zufeng Ding, Magomed Khaidakov, Shijie Liu, Dongsheng Dai, Mingwei Chen, Federico Mercanti, Sandeep Singla and Laura K. Schnackenberg. Their work appears in journals such as SHILAP Revista de lepidopterología, Oncogene 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.