Shuling Liang

43 papers receiving 1.7k citations

Peers

Shuling Liang
Comparison fields: 5 of 122
  • Biomaterials 578
  • Developmental Neuroscience 65
  • Cellular and Molecular Neuroscience 285
  • Behavioral Neuroscience 44
  • Process Chemistry and Technology 32
Replace Yan Wen with:
Yan Wen China
A. Bruinink Switzerland
Changsheng Liu China
Qi Gan China
Fenghua Xu China
Huấn Cao China
Xiaoyu Hu China
Gordon L. Warren United States
Ye Li China
Yoshihisa Koyama Japan
Shuling Liang relative to Yan Wen China Yan Wen's profile →
Citations per field
00.5×2.7×
Yan Wen · 1×
Citations per year

Countries citing papers authored by Shuling Liang

Since Specialization
Citations

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

Fields of papers citing papers by Shuling Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012431
2 2005181
3 2006167
4 2010129
5 2008112
6 201167
7 201161
8 201153
9 200340
10 201534
11 202030
12 201128
13 202127
14 201526
15 202325
16 201623
17 200022
18 202421
19 202021
20 201717

About Shuling Liang

Shuling Liang is a scholar working on General Engineering, Endocrine and Autonomic Systems, Animal Science and Zoology, Reproductive Medicine and Biomaterials, having authored 44 papers that have together received 1.7k indexed citations. Recurring topics across this work include biodegradable polymer synthesis and properties (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Animal Virus Infections Studies (4 papers), Electrospun Nanofibers in Biomedical Applications (4 papers), Hypothalamic control of reproductive hormones (4 papers), Neuroendocrine regulation and behavior (4 papers), Sleep and Wakefulness Research (4 papers) and Nanomaterials for catalytic reactions (3 papers). The work is most often cited by research in Biomaterials (578 citations), Developmental Neuroscience (65 citations), Cellular and Molecular Neuroscience (285 citations), Behavioral Neuroscience (44 citations) and Process Chemistry and Technology (32 citations). Shuling Liang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include George A. Thouas, Qizhi Chen, Douglas A. Coulter, Qi-Zhi Chen, Gregory C. Carlson, Wayne D. Cook, Margaret M. McCarthy, Jaclyn M. Schwarz, Scott M. Thompson and M. Sean Grady. Their work appears in journals such as Veterinary Microbiology, Neuroendocrinology, Journal of environmental chemical engineering, Journal of Neuroendocrinology and Biomaterials.

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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