Shaohua Liang

552 citations
23 papers · 280 indexed · h-index 11

Shaohua Liang

22 papers receiving 278 citations

Peers

Shaohua Liang
Comparison fields: 5 of 71
  • Endocrine and Autonomic Systems 19
  • Behavioral Neuroscience 10
  • Cellular and Molecular Neuroscience 49
  • Physiology 58
  • Cognitive Neuroscience 36
Replace Mee‐Suk Hong with:
Mee‐Suk Hong South Korea
Theresa Brand Germany
Hideki Ohmomo Japan
Eszter Dömötör Hungary
Jennifer Gile United States
Liqing Wang China
Hailan Liu United States
Wei Duan China
Erick Gómez‐Apo Mexico
Shaohua Liang relative to Mee‐Suk Hong South Korea Mee‐Suk Hong's profile →
Citations per field
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Citations per year

Countries citing papers authored by Shaohua Liang

Since Specialization
Citations

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

Fields of papers citing papers by Shaohua Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20242
3 20231
4 20231
5 20217
6 20216
7 202062
8 202021
9 20196
10 20181
11 201820
12 20176
13 201717
14 201619
15 201616
16 201529
17
NAT1 polymorphisms and cancer risk: a systematic review and meta-analysis.
201510
18
Integrated intracoronary optical coherence tomography-ultrasound for in vivo real-time imaging of atherosclerotic plaques
20141
19 201217
20
Familial occurrence of isolated Dandy-Walker variant in two consecutive male fetuses.
20062

About Shaohua Liang

Shaohua Liang is a scholar working on Biological Psychiatry, Cellular and Molecular Neuroscience and Rheumatology, having authored 23 papers that have together received 280 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (4 papers), RNA modifications and cancer (4 papers), Sodium Intake and Health (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Total Knee Arthroplasty Outcomes (2 papers), Ubiquitin and proteasome pathways (2 papers), Neuropeptides and Animal Physiology (2 papers) and Pain Management and Placebo Effect (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (19 citations), Behavioral Neuroscience (10 citations) and Cellular and Molecular Neuroscience (49 citations). Shaohua Liang has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Yun-Qing Li, Yu‐Lin Dong, Jiani Li, Ya-Cheng Lu, Jun-Bin Yin, Wenjun Zhao, Ban Feng, Jian Wang, Siming Li and Yi Sun. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neuroscience and SHILAP Revista de lepidopterología.

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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