Shaoning Wang

1.5k citations
75 papers · 1.2k · h-index 21

Impact in

Papers in

Shaoning Wang

74 papers receiving 1.2k citations

Peers

Shaoning Wang
Comparison fields: 5 of 138
  • Pharmaceutical Science 148
  • Behavioral Neuroscience 80
  • Biomaterials 201
  • Molecular Medicine 66
  • Process Chemistry and Technology 25
Replace Fenghua Xu with:
Fenghua Xu China
Miao Guo China
Ruihua Wang China
Jingjing Zhou China
Nobuaki Shimizu Japan
Tatsuya Ishikawa Japan
Qifang Wang China
Daniel R. Deaver United States
Longfei Yang China
Mehdi Mahmoodi Iran
Shaoning Wang relative to Fenghua Xu China Fenghua Xu's profile →
Citations per field
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Fenghua Xu · 1×
Citations per year

Countries citing papers authored by Shaoning Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shaoning Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009104
2 202267
3 201959
4 201850
5 202246
6 199244
7 200044
8 202339
9 199438
10 201038
11 200336
12 201031
13 201831
14 199830
15 200130
16 199325
17 201824
18 201723
19 200021
20 201120

About Shaoning Wang

Shaoning Wang is a scholar working on Biomaterials, Molecular Biology, Biomedical Engineering, Pharmaceutical Science and Cellular and Molecular Neuroscience, having authored 75 papers that have together received 1.2k indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (8 papers), Advanced Drug Delivery Systems (7 papers), Advanced Cellulose Research Studies (6 papers), Neuropeptides and Animal Physiology (6 papers), Drug Solubulity and Delivery Systems (5 papers), Neuroendocrine regulation and behavior (4 papers), Advanced Sensor and Energy Harvesting Materials (4 papers) and Stress Responses and Cortisol (4 papers). The work is most often cited by research in Pharmaceutical Science (148 citations), Behavioral Neuroscience (80 citations), Biomaterials (201 citations), Molecular Medicine (66 citations) and Process Chemistry and Technology (25 citations). Shaoning Wang has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Gordon A. Barr, Frank Kienzle, Hui Xu, Zhiguo Wang, Stéphanie Moriceau, Regina M. Sullivan, Kiseko Shionoya, Yimin Fan, Junhong Ling and Qi Zhou. Their work appears in journals such as Asian Journal of Pharmaceutical Sciences, Chemical Engineering Journal, Industrial Crops and Products, AAPS PharmSciTech and Journal of Pharmaceutical Sciences.

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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