Yalei Dai
- Pulmonary and Respiratory Medicine
- Behavioral Neuroscience top 5%
- Molecular Biology
- Food Science top 10%
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Martin K. ChurchJanis K. ShuteTaraneh DeanEmmanouíl KarterisDimitris GrammatopoulosAndrew J. EastonEdward W. HillhouseBin Zhou
- Topics
- Proteins in Food Systems (6 papers)Pickering emulsions and particle stabilization (4 papers)Stress Responses and Cortisol (3 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismJournal of Agricultural and Food ChemistryFood Hydrocolloids
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Yalei Dai
18 papers receiving 663 citations
Peers
Comparison fields: 5 of 92
- Pulmonary and Respiratory Medicine 182
- Behavioral Neuroscience 154
- Molecular Biology 153
- Food Science 122
- Endocrinology, Diabetes and Metabolism 85
Countries citing papers authored by Yalei Dai
This map shows the geographic impact of Yalei 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 Yalei Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yalei Dai more than expected).
Fields of papers citing papers by Yalei Dai
This network shows the impact of papers produced by Yalei 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 Yalei Dai. The network helps show where Yalei Dai may publish in the future.
Co-authorship network of co-authors of Yalei Dai
This figure shows the co-authorship network connecting the top 25 collaborators of Yalei Dai. A scholar is included among the top collaborators of Yalei Dai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yalei Dai. Yalei Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 35 | |
| 2 | 9 | |
| 3 | 9 | |
| 4 | 35 | |
| 5 | 21 | |
| 6 | 7 | |
| 7 | 46 | |
| 8 | 25 | |
| 9 | 7 | |
| 10 | 17 | |
| 11 | 3 | |
| 12 | 44 | |
| 13 | [Effect of astragalus on calcium accumulation and SERCA2a gene expression in myocardial tissues in rats with pressure overload-induced left ventricular hypertrophy]. | 1 |
| 14 | 100 | |
| 15 | 54 | |
| 16 | 63 | |
| 17 | 14 | |
| 18 | 188 |
About Yalei Dai
Yalei Dai is a scholar working on Behavioral Neuroscience, Food Science and Neurology, having authored 18 papers that have together received 678 indexed citations. Recurring topics across this work include Proteins in Food Systems (6 papers), Pickering emulsions and particle stabilization (4 papers) and Stress Responses and Cortisol (3 papers). The work is most often cited by research in Behavioral Neuroscience (154 citations), Food Science (122 citations) and Biological Psychiatry (16 citations). Yalei Dai has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Martin K. Church, Janis K. Shute, Taraneh Dean, Emmanouíl Karteris, Dimitris Grammatopoulos, Andrew J. Easton, Edward W. Hillhouse, Bin Zhou, Qianchun Deng and Harpal Randeva. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Agricultural and Food Chemistry and Food Hydrocolloids.
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.