D. Y. Wang

20 papers receiving 421 citations

Peers

D. Y. Wang
Comparison fields: 5 of 65
  • Oncology 212
  • Cancer Research 101
  • Endocrinology, Diabetes and Metabolism 109
  • Pathology and Forensic Medicine 109
  • Reproductive Medicine 50
Replace M. M. Brentani with:
M. M. Brentani Brazil
Theresa Conway United States
Peter J. Gkonos United States
Holly Dushkin United States
Francisco Tejada Cifuentes Spain
Yoshiyuki Kinoshita Japan
Soichiro Shizawa Japan
Lori Iwasaki United States
Müge Sayitoğlu Türkiye
PE Lobie Australia
D. Y. Wang relative to M. M. Brentani Brazil M. M. Brentani's profile →
Citations per field
00.5×2.9×
M. M. Brentani · 1×
Citations per year

Countries citing papers authored by D. Y. Wang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with D. Y. Wang Line = papers co-authored together D. Y. Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 198579
2 198158
3 198651
4 197740
5 198136
6 197632
7 198829
8 198121
9 197819
10 197814
11 198514
12
Possible cofactor in cervical carcinogenesis: proliferation index of the transformation zone in cervicitis.
200113
13 19888
14
Hormones in the aetiology and clinical course of breast cancer.
19728
15 19887
16 19907
17 19847
18 19866
19 19792
20 19861

About D. Y. Wang

D. Y. Wang is a scholar working on Oncology, Molecular Biology, Endocrinology, Diabetes and Metabolism, Genetics and Cancer Research, having authored 20 papers that have together received 452 indexed citations. Recurring topics across this work include Cancer Risks and Factors (10 papers), Metabolism, Diabetes, and Cancer (6 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Estrogen and related hormone effects (4 papers), Breast Cancer Treatment Studies (3 papers), Effects and risks of endocrine disrupting chemicals (2 papers), Hormonal and reproductive studies (2 papers) and Diet and metabolism studies (2 papers). The work is most often cited by research in Oncology (212 citations), Cancer Research (101 citations), Endocrinology, Diabetes and Metabolism (109 citations), Pathology and Forensic Medicine (109 citations) and Reproductive Medicine (50 citations). D. Y. Wang has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include H. G. Kwa, J.L. Hayward, Ian S. Fentiman, F. J. Cleton, R.D. Bulbrook, R.D. Bulbrook, Rosemary R. Millis, Susan Hoare, G.M.G. Clark and John W. Moore. Their work appears in journals such as International Journal of Cancer, Annals of the New York Academy of Sciences, Breast Cancer Research and Treatment, Cancer and Journal of Pharmacology and Experimental Therapeutics.

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.

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