Yiying Wang

125 papers receiving 1.7k citations

Peers

Yiying Wang
Comparison fields: 5 of 132
  • Biological Psychiatry 51
  • Reproductive Medicine 170
  • Obstetrics and Gynecology 121
  • Cancer Research 229
  • Neurology 106
Replace J. Koudy Williams with:
J. Koudy Williams United States
Sirui Zhou China
Clara Crescioli Italy
Bogdan Marek Poland
Antonio Pérez‐Pérez Spain
Dariusz Kajdaniuk Poland
Alessandro Peri Italy
Suh‐Hang Hank Juo Taiwan
Yiying Wang relative to J. Koudy Williams United States J. Koudy Williams's profile →
Citations per field
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J. Koudy Williams · 1×
Citations per year

Countries citing papers authored by Yiying Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yiying Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 137 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013163
2 202089
3 201977
4 202248
5 200948
6 201546
7 202445
8 201645
9 202341
10 201339
11 202337
12 202033
13 201931
14 200931
15 201831
16 202131
17 201829
18 202029
19 202327
20 201227

About Yiying Wang

Yiying Wang is a scholar working on Epidemiology, Molecular Biology, Public Health, Environmental and Occupational Health, Pulmonary and Respiratory Medicine and Physiology, having authored 137 papers that have together received 1.7k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (15 papers), Liver Disease Diagnosis and Treatment (13 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers), Endometrial and Cervical Cancer Treatments (9 papers), Reproductive Biology and Fertility (8 papers), Acupuncture Treatment Research Studies (6 papers), Alzheimer's disease research and treatments (5 papers) and Hepatitis B Virus Studies (5 papers). The work is most often cited by research in Biological Psychiatry (51 citations), Reproductive Medicine (170 citations), Obstetrics and Gynecology (121 citations), Cancer Research (229 citations) and Neurology (106 citations). Yiying Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Wenxin Zheng, Robert S. Weinstein, Xuefei Cao, Jinhu Xiong, M. Piemontese, Maria Almeida, Melda Onal, Charles A. O’Brien, Beihua Kong and Janiel M. Cragun. Their work appears in journals such as Journal of Hematology & Oncology, Frontiers in Cardiovascular Medicine, Journal of Diabetes, Frontiers in Endocrinology and Cochrane Database of Systematic Reviews.

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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