Winnie Yang

10.5k citations
69 papers · 4.6k indexed · 3 hit papers · h-index 32

Winnie Yang

69 papers receiving 4.6k citations

Hit Papers

Final validation of the ProMisE molecular classifier for ...4902015202620182022200400600

Peers

Winnie Yang
Comparison fields: 5 of 130
  • Obstetrics and Gynecology 2.4k
  • Reproductive Medicine 2.2k
  • Cancer Research 1.1k
  • Pathology and Forensic Medicine 783
  • Oncology 593
Replace Makio Shozu with:
Makio Shozu Japan
Kimberly K. Leslie United States
Norio Wake Japan
Kathryn L. Terry United States
Annekatrin Lukanova Sweden
Satoru Nagase Japan
Mohamed Mokhtar Desouki United States
Harriet O. Smith United States
Yuji Hiramatsu Japan
Michelle K.Y. Siu Hong Kong
Winnie Yang relative to Makio Shozu Japan Makio Shozu's profile →
Citations per field
00.5×
Makio Shozu · 1×
Citations per year

Countries citing papers authored by Winnie Yang

Since Specialization
Citations

This map shows the geographic impact of Winnie Yang'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 Winnie Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Winnie Yang more than expected).

Fields of papers citing papers by Winnie Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Winnie Yang. 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 Winnie Yang. The network helps show where Winnie Yang may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Winnie Yang, 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 Winnie Yang Line = papers co-authored together Winnie Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20235
2 20233
3 20222
4 201989
5 201825
6
Confirmation of ProMisE: A simple, genomics‐based clinical classifier for endometrial cancerbreakdown →
2017631
7 2016144
8 2016154
9 201624
10 201617
11 201559
12 201455
13 201331
14 20135
15 201019
16 200838
17 200728
18 200531
19 19982
20 199616

About Winnie Yang

Winnie Yang is a scholar working on Reproductive Medicine, Obstetrics and Gynecology, Immunology and Allergy, Health, Toxicology and Mutagenesis and Cancer Research, having authored 69 papers that have together received 4.6k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (16 papers), Endometrial and Cervical Cancer Treatments (11 papers), Effects and risks of endocrine disrupting chemicals (9 papers), Cancer-related molecular mechanisms research (7 papers), Toxic Organic Pollutants Impact (7 papers), Attention Deficit Hyperactivity Disorder (7 papers), Genetic factors in colorectal cancer (5 papers) and Cancer Genomics and Diagnostics (4 papers). The work is most often cited by research in Obstetrics and Gynecology (2.4k citations), Reproductive Medicine (2.2k citations), Cancer Research (1.1k citations), Pathology and Forensic Medicine (783 citations) and Oncology (593 citations). Winnie Yang has collaborated with scholars based in Taiwan, Canada and United States. Frequent co-authors include David G. Huntsman, Janine Senz, Jessica N. McAlpine, Melissa K. McConechy, C. Blake Gilks, Aline Talhouk, Samuel Leung, Anthony N. Karnezis, Michael S. Anglesio and Janice S. Kwon. Their work appears in journals such as The Journal of Pathology, Environmental Research, Gynecologic Oncology, PLoS ONE and Modern Pathology.

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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