Bian Wang

1.0k citations
52 papers · 749 · h-index 16

Impact in

Papers in

Bian Wang

49 papers receiving 733 citations

Peers

Bian Wang
Comparison fields: 5 of 86
  • Reproductive Medicine 180
  • Pediatrics, Perinatology and Child Health 101
  • Obstetrics and Gynecology 39
  • Public Health, Environmental and Occupational Health 138
  • Polymers and Plastics 55
Replace Weiyuan Zhang with:
Weiyuan Zhang China
Murat Arslan Türkiye
Emek Döğer Türkiye
Hong Hao Zhou China
Zongzhi Yin China
Stéphanie Huberlant France
Jing He China
Anna K. Parsons United States
Donna C. Davidson United States
Yao Fu China
Bian Wang relative to Weiyuan Zhang China Weiyuan Zhang's profile →
Citations per field
00.5×2×4×6×7.8×
Weiyuan Zhang · 1×
Citations per year

Countries citing papers authored by Bian Wang

Since Specialization
Citations

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

Fields of papers citing papers by Bian Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201990
2 201955
3 202051
4 201944
5 202143
6 202040
7 201534
8 202030
9 201429
10 201825
11 201824
12 202024
13 202021
14 201920
15 202017
16
Expression profile and clinical significance of miRNAs at different stages of chronic hepatitis B virus infection.
201516
17 201816
18 201915
19 201914
20 202014

About Bian Wang

Bian Wang is a scholar working on Reproductive Medicine, Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health, Cancer Research and Epidemiology, having authored 52 papers that have together received 749 indexed citations. Recurring topics across this work include Ovarian function and disorders (8 papers), Assisted Reproductive Technology and Twin Pregnancy (7 papers), Reproductive Biology and Fertility (5 papers), Reproductive Health and Technologies (3 papers), MicroRNA in disease regulation (3 papers), Agriculture Sustainability and Environmental Impact (2 papers), Reproductive System and Pregnancy (2 papers) and Hepatitis B Virus Studies (2 papers). The work is most often cited by research in Reproductive Medicine (180 citations), Pediatrics, Perinatology and Child Health (101 citations), Obstetrics and Gynecology (39 citations), Public Health, Environmental and Occupational Health (138 citations) and Polymers and Plastics (55 citations). Bian Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Qianqian Zhu, Yun Wang, Jie Zhang, Jiaying Lin, Yanping Kuang, Xiaoyan Yang, Ningling Wang, Qifeng Lyu, Hongfang Liu and Yanping Kuang. Their work appears in journals such as Human Reproduction, Fertility and Sterility, Frontiers in Medicine, Frontiers in Physiology and Frontiers in Endocrinology.

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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