Chi‐Fa Hung

1.7k citations
67 papers · 1.1k indexed · h-index 21

Chi‐Fa Hung

62 papers receiving 1.1k citations

Peers

Chi‐Fa Hung
Comparison fields: 5 of 107
  • Biological Psychiatry 122
  • Aging 63
  • Psychiatry and Mental health 325
  • Behavioral Neuroscience 49
  • Endocrine and Autonomic Systems 83
Replace Jessie S. M. Chan with:
Jessie S. M. Chan Hong Kong
Laiss Bertola Brazil
Michelle Rissling United States
Nicholas Graham United Kingdom
Jean‐Christophe Chauvet‐Gélinier France
Charles F. Reynolds United States
Amy Ferguson United Kingdom
Andrea Floyd United States
Sandra Van der Auwera Germany
Antonio Labad Spain
Chi‐Fa Hung relative to Jessie S. M. Chan Hong Kong Jessie S. M. Chan's profile →
Citations per field
00.5×4.5×
Jessie S. M. Chan · 1×
Citations per year

Countries citing papers authored by Chi‐Fa Hung

Since Specialization
Citations

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

Fields of papers citing papers by Chi‐Fa Hung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chi‐Fa Hung. 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 Chi‐Fa Hung. The network helps show where Chi‐Fa Hung may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20240
4 20243
5 20245
6 202316
7 20221
8 20221
9 20227
10 20222
11 202120
12 202115
13 202116
14 20212
15 202011
16 202028
17 201951
18 201717
19 201130
20 200713

About Chi‐Fa Hung

Chi‐Fa Hung is a scholar working on Biological Psychiatry, Psychiatry and Mental health, Aging, Geriatrics and Gerontology and Clinical Psychology, having authored 67 papers that have together received 1.1k indexed citations. Recurring topics across this work include Schizophrenia research and treatment (17 papers), Tryptophan and brain disorders (8 papers), Family Support in Illness (7 papers), Family Caregiving in Mental Illness (7 papers), Parkinson's Disease Mechanisms and Treatments (6 papers), Mental Health Treatment and Access (6 papers), Cancer survivorship and care (6 papers) and Functional Brain Connectivity Studies (6 papers). The work is most often cited by research in Biological Psychiatry (122 citations), Aging (63 citations), Psychiatry and Mental health (325 citations), Behavioral Neuroscience (49 citations) and Endocrine and Autonomic Systems (83 citations). Chi‐Fa Hung has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Pao‐Yen Lin, Yu‐Chi Huang, Liang‐Jen Wang, Mian‐Yoon Chong, Yu Lee, Nien‐Mu Chiu, Ping‐Tao Tseng, Chih‐Yen Chien, Su‐Ting Hsu and Fu‐Min Fang. Their work appears in journals such as Asia-Pacific Psychiatry, Frontiers in Psychiatry, International Journal of Environmental Research and Public Health, Psychiatry Research and Psychoneuroendocrinology.

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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