Siew E. Chua

5.9k citations
42 papers · 4.3k indexed · 2 hit papers · h-index 29

Siew E. Chua

42 papers receiving 4.1k citations

Hit Papers

Stress and Psychological Distress among SARS Survivors 1 ...8232007202620132019250500750

Peers

Siew E. Chua
Comparison fields: 5 of 139
  • Clinical Psychology 1.9k
  • Biological Psychiatry 194
  • Cognitive Neuroscience 1.4k
  • Psychiatry and Mental health 1.0k
  • General Health Professions 897
Replace Charlton Cheung with:
Charlton Cheung Hong Kong
Vinci Cheung Hong Kong
Pirkko Räsänen Finland
Claudia Carmassi Italy
Caroline Dubertret France
Mary Clarke Ireland
Ana‐Maria Iosif United States
Ran Barzilay United States
Gabriele Massimetti Italy
Juha Veijola Finland
Siew E. Chua relative to Charlton Cheung Hong Kong Charlton Cheung's profile →
Citations per field
00.5×1.5×2.1×
Charlton Cheung · 1×
Citations per year

Countries citing papers authored by Siew E. Chua

Since Specialization
Citations

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

Fields of papers citing papers by Siew E. Chua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Siew E. Chua. 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 Siew E. Chua. The network helps show where Siew E. Chua may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201611
2 201514
3 201423
4 201380
5 201214
6 201152
7 201121
8 201126
9 201051
10 2009142
11 200956
12 2009119
13 200971
14 200845
15 2006156
16 200496
17 200317
18 1997162
19 199794
20 1995206

About Siew E. Chua

Siew E. Chua is a scholar working on Cognitive Neuroscience, Biological Psychiatry, Psychiatry and Mental health, Behavioral Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 42 papers that have together received 4.3k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (18 papers), Functional Brain Connectivity Studies (17 papers), Schizophrenia research and treatment (11 papers), Autism Spectrum Disorder Research (6 papers), COVID-19 and Mental Health (5 papers), Genetics and Neurodevelopmental Disorders (5 papers), Fetal and Pediatric Neurological Disorders (4 papers) and Stress Responses and Cortisol (3 papers). The work is most often cited by research in Clinical Psychology (1.9k citations), Biological Psychiatry (194 citations), Cognitive Neuroscience (1.4k citations), Psychiatry and Mental health (1.0k citations) and General Health Professions (897 citations). Siew E. Chua has collaborated with scholars based in Hong Kong, China and United Kingdom. Frequent co-authors include Gráinne McAlonan, Vinci Cheung, Pak C. Sham, Charlton Cheung, Kenneth W. Tsang, Peter J. McKenna, Chung‐Ming Chu, Poon-Chuen Wong, John Suckling and C Cheung. Their work appears in journals such as Psychological Medicine, PLoS ONE, The Canadian Journal of Psychiatry, The British Journal of Psychiatry and Schizophrenia Research.

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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