Yiying Wang

127 papers receiving 1.9k citations

Peers

Yiying Wang
Comparison fields: 5 of 128
  • Biological Psychiatry 50
  • Reproductive Medicine 165
  • Cancer Research 213
  • Obstetrics and Gynecology 103
  • Neurology 88
Replace Inma Castilla‐Cortázar with:
Inma Castilla‐Cortázar Spain
Laura Cristina Ceafalan Romania
Yuping Xu China
Clara Crescioli Italy
Giuseppe Donato Italy
Zhengwei Yuan China
Yan Liao China
Hendrik Gremmels Netherlands
Jun Shu China
Yiying Wang relative to Inma Castilla‐Cortázar Spain Inma Castilla‐Cortázar's profile →
Citations per field
00.5×2×3×4×4.9×
Inma Castilla‐Cortázar · 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 136 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013176
2 2020108
3 201981
4 202462
5 202254
6 202349
7 200947
8 201546
9 201646
10 201343
11 202342
12 202035
13 202135
14 201934
15 202034
16 202333
17 201832
18 201831
19 202330
20 201229

About Yiying Wang

Yiying Wang is a scholar working on Reproductive Medicine, Obstetrics and Gynecology, Epidemiology, Physiology and Neurology, having authored 136 papers that have together received 1.9k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (11 papers), Liver Disease Diagnosis and Treatment (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Endometrial and Cervical Cancer Treatments (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Alzheimer's disease research and treatments (5 papers), Genetic Associations and Epidemiology (5 papers) and Nutritional Studies and Diet (4 papers). The work is most often cited by research in Biological Psychiatry (50 citations), Reproductive Medicine (165 citations), Cancer Research (213 citations), Obstetrics and Gynecology (103 citations) and Neurology (88 citations). Yiying Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Wenxin Zheng, Xuefei Cao, Charles A. O’Brien, Setsuko K. Chambers, Maria Almeida, Robert S. Weinstein, Janiel M. Cragun, M. Piemontese, Melda Onal and Beihua Kong. Their work appears in journals such as Frontiers in Endocrinology, Journal of Diabetes, Journal of Hematology & Oncology, Frontiers in Cardiovascular Medicine and Nutrients.

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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