Wanju S. Dai
- Endocrinology, Diabetes and Metabolism top 2%
- Molecular Biology
- Public Health, Environmental and Occupational Health top 10%
- Pathology and Forensic Medicine top 10%
- Pharmacology top 10%
- Co-authors
- Lewis H. KullerJames P. GutaiRonald E. LaPorteJane A. CauleyJuhaeri JuhaeriArlene W. CaggiulaRobert S. SternWilliam Holden
- Topics
- Alcohol Consumption and Health Effects (5 papers)Hormonal and reproductive studies (5 papers)Pharmacovigilance and Adverse Drug Reactions (5 papers)
- Partner nations
- United StatesFranceSwitzerland
In The Last Decade
Wanju S. Dai
30 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 109
- Endocrinology, Diabetes and Metabolism 471
- Molecular Biology 160
- Public Health, Environmental and Occupational Health 146
- Pathology and Forensic Medicine 135
- Pharmacology 123
Countries citing papers authored by Wanju S. Dai
This map shows the geographic impact of Wanju S. 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 Wanju S. Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wanju S. Dai more than expected).
Fields of papers citing papers by Wanju S. Dai
This network shows the impact of papers produced by Wanju S. 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 Wanju S. Dai. The network helps show where Wanju S. Dai may publish in the future.
Co-authorship network of co-authors of Wanju S. Dai
This figure shows the co-authorship network connecting the top 25 collaborators of Wanju S. Dai. A scholar is included among the top collaborators of Wanju S. 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 Wanju S. Dai. Wanju S. 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 | 6 | |
| 2 | 7 | |
| 3 | 5 | |
| 4 | 28 | |
| 5 | 7 | |
| 6 | 21 | |
| 7 | 17 | |
| 8 | 9 | |
| 9 | 19 | |
| 10 | 42 | |
| 11 | 7 | |
| 12 | 9 | |
| 13 | 8 | |
| 14 | 86 | |
| 15 | 63 | |
| 16 | 31 | |
| 17 | 114 | |
| 18 | 20 | |
| 19 | 133 | |
| 20 | The relationship between alcohol consumption, liver enzymes and high-density lipoprotein cholesterol. | 52 |
About Wanju S. Dai
Wanju S. Dai is a scholar working on Toxicology, Geriatrics and Gerontology and Endocrinology, Diabetes and Metabolism, having authored 30 papers that have together received 1.2k indexed citations. Recurring topics across this work include Alcohol Consumption and Health Effects (5 papers), Hormonal and reproductive studies (5 papers) and Pharmacovigilance and Adverse Drug Reactions (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (471 citations), Toxicology (55 citations) and Behavioral Neuroscience (50 citations). Wanju S. Dai has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include Lewis H. Kuller, James P. Gutai, Ronald E. LaPorte, Jane A. Cauley, Juhaeri Juhaeri, Arlene W. Caggiula, Robert S. Stern, William Holden, Shujun Gao and George Miller. Their work appears in journals such as Cancer, American Journal of Epidemiology and The American Journal of Cardiology.
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.