Shaoning Wang

1.5k citations
75 papers · 1.1k indexed · h-index 20

Shaoning Wang

72 papers receiving 1.1k citations

Peers

Shaoning Wang
Comparison fields: 5 of 138
  • Behavioral Neuroscience 84
  • Pharmaceutical Science 142
  • Biomaterials 193
  • Molecular Medicine 66
  • Microbiology 49
Replace Ruihua Wang with:
Ruihua Wang China
Fenghua Xu China
Daniel R. Deaver United States
Jiaju Zhong China
Miia Kovalainen Finland
Halina Car Poland
Miao Guo China
Jennifer Collins United States
Xiaosi Li China
Anna Leśniak Poland
Shaoning Wang relative to Ruihua Wang China Ruihua Wang's profile →
Citations per field
00.5×4.7×
Ruihua Wang · 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-authorship network

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
#Work
1 202512
2 20253
3 20241
4 202415
5 20242
6 20240
7 20231
8 20231
9 201954
10 201722
11 20157
12
Effects of Borneol on the Distribution of Azidothymidine Palmitate Liposomes in Mice
20092
13
Determination of cucurbitacin B in human serum albumin nanoparticles by HPLC
20071
14
Assessment of the Targetability of Galactosylated Liposomes to Liver in Mice
20061
15
RP-HPLC determination of oxymatrine liposomes and their entrapment efficiency
20031
16 200310
17 200013
18 199829
19 199211
20 199241

About Shaoning Wang

Shaoning Wang is a scholar working on Pharmaceutical Science, Biomaterials, Behavioral Neuroscience, Molecular Medicine and Process Chemistry and Technology, having authored 75 papers that have together received 1.1k indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (8 papers), Advanced Drug Delivery Systems (7 papers), Neuropeptides and Animal Physiology (6 papers), Advanced Cellulose Research Studies (6 papers), Drug Solubulity and Delivery Systems (5 papers), Advanced Photonic Communication Systems (4 papers), Stress Responses and Cortisol (4 papers) and Advanced Sensor and Energy Harvesting Materials (4 papers). The work is most often cited by research in Behavioral Neuroscience (84 citations), Pharmaceutical Science (142 citations), Biomaterials (193 citations), Molecular Medicine (66 citations) and Microbiology (49 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, Kiseko Shionoya, Regina M. Sullivan, Stéphanie Moriceau, Zhiguo Wang, Qi Zhou, Junhong Ling and Susan E. Carden. 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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