Baoan Wang

979 citations
62 papers · 730 · h-index 14

Impact in

Papers in

Baoan Wang

59 papers receiving 709 citations

Peers

Baoan Wang
Comparison fields: 5 of 119
  • Endocrinology, Diabetes and Metabolism 164
  • Reproductive Medicine 32
  • Biochemistry 23
  • Molecular Biology 202
  • Endocrine and Autonomic Systems 18
Replace Rema Razdan with:
Rema Razdan India
Geng Tian China
Hongyan Yang China
Yu‐Cheng Chou Taiwan
Seiya Inoue Japan
Ionela Lăcrămioara Șerban Romania
Russell M. Crawford United Kingdom
Xinyi Fang China
Akira Matsuoka Japan
Baoan Wang relative to Rema Razdan India Rema Razdan's profile →
Citations per field
00.5×1.6×
Rema Razdan · 1×
Citations per year

Countries citing papers authored by Baoan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Baoan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003114
2 201360
3 201349
4 201744
5 201341
6 202134
7 202131
8 200629
9 201122
10 201222
11 201718
12 201414
13 200714
14 199414
15 201812
16 201412
17 200611
18 201610
19 201610
20 201610

About Baoan Wang

Baoan Wang is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Electrical and Electronic Engineering, Epidemiology and Control and Systems Engineering, having authored 62 papers that have together received 730 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (6 papers), Microgrid Control and Optimization (4 papers), HVDC Systems and Fault Protection (4 papers), Sexual Differentiation and Disorders (4 papers), Pituitary Gland Disorders and Treatments (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Multilevel Inverters and Converters (3 papers) and Bone health and osteoporosis research (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (164 citations), Reproductive Medicine (32 citations), Biochemistry (23 citations), Molecular Biology (202 citations) and Endocrine and Autonomic Systems (18 citations). Baoan Wang has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Yiming Mu, Juming Lu, Changyu Pan, Zhaohui Lü, Jiangyuan Li, Jingtao Dou, Hajime Nawata, Toshihiko Yanase, Riping Liu and Mingzhen Ma. Their work appears in journals such as PLoS ONE, Surface and Coatings Technology, Colloids and Surfaces A Physicochemical and Engineering Aspects, Chinese Journal of Chemistry and BMC Endocrine Disorders.

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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