D.Y. Wang
Impact in
-
- Hormonal and reproductive studies
- Growth Hormone and Insulin-like Growth Factors
- Oncology top 10%
- Cancer Risks and Factors
- HER2/EGFR in Cancer Research
Papers in
- Genetics 23
- Estrogen and related hormone effects 22
-
- Hormonal and reproductive studies 10
- Growth Hormone and Insulin-like Growth Factors 5
- Co-authors
- Richard D. Bulbrook (21 shared papers)J.L. Hayward (16 shared papers)John William Moore (11 shared papers)Vera Fantl (5 shared papers)R.D. Bulbrook (6 shared papers)Robert D. Rubens (4 shared papers)David Tong (3 shared papers)Ian S. Fentiman (5 shared papers)
- Journals
- The Lancet (5 papers)Steroids (1 paper)European Journal of Cancer (1 paper)Nutrition and Cancer (1 paper)Indian Journal of Pharmaceutical Sciences (1 paper)
- Partner nations
- United KingdomNetherlandsJapan
In The Last Decade
D.Y. Wang
42 papers receiving 877 citations
Peers
Comparison fields: 5 of 83
- Endocrinology, Diabetes and Metabolism 279
- Oncology 348
- Genetics 312
- Reproductive Medicine 88
- Behavioral Neuroscience 35
Countries citing papers authored by D.Y. Wang
This map shows the geographic impact of D.Y. Wang'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 D.Y. Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D.Y. Wang more than expected).
Fields of papers citing papers by D.Y. Wang
This network shows the impact of papers produced by D.Y. Wang. 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 D.Y. Wang. The network helps show where D.Y. Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside D.Y. Wang, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1975 | 76 | |
| 2 | 1988 | 64 | |
| 3 | 1973 | 51 | |
| 4 | 1986 | 46 | |
| 5 | 1989 | 45 | |
| 6 | 1978 | 42 | |
| 7 | 1987 | 42 | |
| 8 | 1976 | 40 | |
| 9 | 1978 | 39 | |
| 10 | 1994 | 38 | |
| 11 | 1982 | 36 | |
| 12 | 1987 | 35 | |
| 13 | 1974 | 35 | |
| 14 | 1973 | 34 | |
| 15 | 1976 | 28 | |
| 16 | 1981 | 24 | |
| 17 | 1979 | 22 | |
| 18 | 1975 | 22 | |
| 19 | 1985 | 19 | |
| 20 | 1976 | 19 |
About D.Y. Wang
D.Y. Wang is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Oncology, Reproductive Medicine and Pathology and Forensic Medicine, having authored 42 papers that have together received 981 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (22 papers), Cancer Risks and Factors (10 papers), Hormonal and reproductive studies (10 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Breast Lesions and Carcinomas (4 papers), Hypothalamic control of reproductive hormones (4 papers), Pharmacological Effects and Assays (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (279 citations), Oncology (348 citations), Genetics (312 citations), Reproductive Medicine (88 citations) and Behavioral Neuroscience (35 citations). D.Y. Wang has collaborated with scholars based in United Kingdom, Netherlands and Japan. Frequent co-authors include Richard D. Bulbrook, J.L. Hayward, John William Moore, Vera Fantl, R.D. Bulbrook, Robert D. Rubens, David Tong, Ian S. Fentiman, H. G. Kwa and J. L. Hayward. Their work appears in journals such as The Lancet, Steroids, European Journal of Cancer, Nutrition and Cancer and Indian Journal of Pharmaceutical Sciences.
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.