Bian Wang

978 citations
51 papers · 662 indexed · h-index 16

Impact in

Papers in

Bian Wang

48 papers receiving 652 citations

Peers

Bian Wang
Comparison fields: 5 of 90
  • Reproductive Medicine 243
  • Pediatrics, Perinatology and Child Health 235
  • Public Health, Environmental and Occupational Health 268
  • Obstetrics and Gynecology 61
  • Polymers and Plastics 52
Replace Weiyuan Zhang with:
Weiyuan Zhang China
А. Н. Бараш Israel
Bülent Duran Türkiye
Emek Döğer Türkiye
Emin Aydur Türkiye
Stéphanie Huberlant France
Jing He China
Alex Steinleitner United States
Anna K. Parsons United States
Bian Wang relative to Weiyuan Zhang China Weiyuan Zhang's profile →
Citations per field
00.5×4.5×
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 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201977
2 201951
3 202048
4 201940
5 202136
6 202033
7 201532
8 202027
9 201426
10 201824
11 201822
12 202021
13 202019
14 201917
15 201916
16
Expression profile and clinical significance of miRNAs at different stages of chronic hepatitis B virus infection.
201516
17 202014
18 202014
19 201814
20 201914

About Bian Wang

Bian Wang is a scholar working on Reproductive Medicine, Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology, Public Health, Environmental and Occupational Health and Complementary and Manual Therapy, having authored 51 papers that have together received 662 indexed citations. Recurring topics across this work include Assisted Reproductive Technology and Twin Pregnancy (18 papers), Reproductive Biology and Fertility (12 papers), Ovarian function and disorders (9 papers), MicroRNA in disease regulation (6 papers), Reproductive Health and Technologies (6 papers), Hepatitis B Virus Studies (5 papers), Prenatal Screening and Diagnostics (4 papers) and Agriculture Sustainability and Environmental Impact (3 papers). The work is most often cited by research in Reproductive Medicine (243 citations), Pediatrics, Perinatology and Child Health (235 citations), Public Health, Environmental and Occupational Health (268 citations), Obstetrics and Gynecology (61 citations) and Polymers and Plastics (52 citations). Bian Wang has collaborated with scholars based in China, United States and Egypt. 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, Frontiers in Medicine, Frontiers in Endocrinology, Frontiers in Physiology and Fertility and Sterility.

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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