Shaohua Hu

23.4k citations
291 papers · 13.7k indexed · 4 hit papers · h-index 39

Shaohua Hu

254 papers receiving 13.3k citations

Hit Papers

Risk factors for non-suicidal self-injury (NSSI) in adole...126202020262022202410002.0k3.0k4.0k5.0k

Peers

Shaohua Hu
Comparison fields: 5 of 208
  • Clinical Psychology 7.7k
  • Biological Psychiatry 586
  • General Health Professions 4.2k
  • Applied Psychology 839
  • Neurology 1.5k
Replace Zhongchun Liu with:
Zhongchun Liu China
Teris Cheung Hong Kong
Manli Huang China
Brian P. Marx United States
Cyrus S. H. Ho Singapore
Karestan C. Koenen United States
Robert J. Ursano United States
Carol S. North United States
Lihua Yao China
Ai Koyanagi Spain
Shaohua Hu relative to Zhongchun Liu China Zhongchun Liu's profile →
Citations per field
00.5×1.5×1.8×
Zhongchun Liu · 1×
Citations per year

Countries citing papers authored by Shaohua Hu

Since Specialization
Citations

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

Fields of papers citing papers by Shaohua Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
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Risk factors for non-suicidal self-injury (NSSI) in adolescents: A meta-analysisbreakdown →
2022126
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17 202151
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Effects of Heat Treatment on Microstructure and Mechanical Properties of Mg-12Gd-3Y-0.6Zr Alloy As-extruded
20111
20
Smoking cessation activities in Texas: the role of dentists.
20021

About Shaohua Hu

Shaohua Hu is a scholar working on Biological Psychiatry, Psychiatry and Mental health and Experimental and Cognitive Psychology, having authored 291 papers that have together received 13.7k indexed citations. Recurring topics across this work include Bipolar Disorder and Treatment (50 papers), Tryptophan and brain disorders (36 papers), Functional Brain Connectivity Studies (30 papers), Schizophrenia research and treatment (28 papers), Electroconvulsive Therapy Studies (18 papers), Gut microbiota and health (17 papers), Treatment of Major Depression (17 papers) and Mental Health Research Topics (16 papers). The work is most often cited by research in Clinical Psychology (7.7k citations), Biological Psychiatry (586 citations) and General Health Professions (4.2k citations). Shaohua Hu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhongchun Liu, Ning Wei, Jianbo Lai, Manli Huang, Ying Wang, Lijun Kang, Ruiting Li, Lihua Yao, Simeng Ma and Gaohua Wang. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Biological Chemistry.

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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