Yeping Wang

20 papers receiving 567 citations

Peers

Yeping Wang
Comparison fields: 5 of 105
  • Obstetrics and Gynecology 101
  • Periodontics 33
  • Parasitology 29
  • Microbiology 27
  • Molecular Biology 248
Replace Ingeborg Klymiuk with:
Ingeborg Klymiuk Austria
Tate Gisslen United States
Marwa Saadaoui Qatar
Xiaomin Xu China
W. Thomas Gregory United States
Josh M Jorgensen United States
Bon‐Hee Gu South Korea
Christina Michalski Canada
Anna Hammerich Thysen Denmark
Lakshmi Krishnan India
Yeping Wang relative to Ingeborg Klymiuk Austria Ingeborg Klymiuk's profile →
Citations per field
00.5×9.7×
Ingeborg Klymiuk · 1×
Citations per year

Countries citing papers authored by Yeping Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yeping Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018346
2 201636
3 202129
4 202128
5 201818
6 202418
7 202216
8 201815
9 201713
10 202011
11 20239
12 20238
13 20226
14 20245
15 20243
16 20253
17 20203
18 20182
19 20231
20 20251

About Yeping Wang

Yeping Wang is a scholar working on Molecular Biology, Obstetrics and Gynecology, Genetics, Infectious Diseases and Ecology, having authored 24 papers that have together received 571 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (4 papers), Gestational Diabetes Research and Management (2 papers), Aquatic Ecosystems and Phytoplankton Dynamics (2 papers), Electrospun Nanofibers in Biomedical Applications (2 papers), MicroRNA in disease regulation (2 papers), Genetics and Neurodevelopmental Disorders (1 paper), Silk-based biomaterials and applications (1 paper) and Diabetes and associated disorders (1 paper). The work is most often cited by research in Obstetrics and Gynecology (101 citations), Periodontics (33 citations), Parasitology (29 citations), Microbiology (27 citations) and Molecular Biology (248 citations). Yeping Wang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Hongping Zhang, Fengyi Zhang, Jiayong Zheng, Zhenyu Jia, Nan Du, Wenyu Shi, Fangqing Zhao, Yanming Zhang, Peifeng Ji and Zhi Zheng. Their work appears in journals such as Frontiers in Genetics, Frontiers in Pediatrics, Western Pacific surveillance response journal, Environmental Science and Pollution Research and International Journal of Environmental Research and Public Health.

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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