Shaoping Huang

542 citations
53 papers · 331 · h-index 11

Impact in

Papers in

    • Genetics and Neurodevelopmental Disorders 11
    • Neurogenetic and Muscular Disorders Research 4
    • Genomic variations and chromosomal abnormalities 3
    • Epilepsy research and treatment 7

Shaoping Huang

48 papers receiving 327 citations

Peers

Shaoping Huang
Comparison fields: 5 of 79
  • Ecological Modeling 22
  • Psychiatry and Mental health 57
  • Genetics 22
  • Clinical Biochemistry 13
  • Genetics 50
Replace K. Lau with:
K. Lau Australia
Shaochun Ma China
Izumi Takeuchi Japan
Hongkun Hu China
G. Ollivier France
M Badenhorst South Africa
Aurélie Canal France
Mustafa Durmuş Türkiye
Qiao‐Ying Yuan China
Shaoping Huang relative to K. Lau Australia K. Lau's profile →
Citations per field
00.5×11.3×
K. Lau · 1×
Citations per year

Countries citing papers authored by Shaoping Huang

Since Specialization
Citations

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

Fields of papers citing papers by Shaoping Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201329
2 201924
3 202024
4 201922
5 201717
6 202216
7 201316
8 202114
9 202314
10 200712
11 202312
12 201710
13 20119
14 20209
15 20209
16 20148
17
[Relationship between glycemic control and visceral adiposity index among the patients with type 2 diabetes mellitus].
20178
18 20087
19 20246
20 20155

About Shaoping Huang

Shaoping Huang is a scholar working on Genetics, Psychiatry and Mental health, Physiology, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 53 papers that have together received 331 indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (11 papers), Epilepsy research and treatment (7 papers), Diet and metabolism studies (5 papers), Neurogenetic and Muscular Disorders Research (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Metabolism and Genetic Disorders (3 papers), Genomic variations and chromosomal abnormalities (3 papers) and Cardiovascular Health and Risk Factors (3 papers). The work is most often cited by research in Ecological Modeling (22 citations), Psychiatry and Mental health (57 citations), Genetics (22 citations), Clinical Biochemistry (13 citations) and Genetics (50 citations). Shaoping Huang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Dan Li, Yuqin Wang, Xingming Li, Kun Fang, Xun Tang, Xiaocai Gao, Fuchang Zhang, Kejin Zhang, Minghao Fang and Yonghua Hu. Their work appears in journals such as Frontiers in Neurology, Frontiers in Pediatrics, CNS Neuroscience & Therapeutics, Psychiatric Genetics and Scientific Reports.

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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