Chi‐Fa Hung

63 papers receiving 1.2k citations

Peers

Chi‐Fa Hung
Comparison fields: 5 of 101
  • Biological Psychiatry 86
  • Aging 35
  • Psychiatry and Mental health 261
  • Behavioral Neuroscience 38
  • Endocrine and Autonomic Systems 63
Replace Nicholas Graham with:
Nicholas Graham United Kingdom
Eun-Jeong Joo South Korea
Amy Ferguson United Kingdom
Jean‐Christophe Chauvet‐Gélinier France
Antonio Labad Spain
Laura K. M. Han Netherlands
Charles F. Reynolds United States
Michelle Rissling United States
Adam M. Staffaroni United States
Pınar Güzel Özdemir Türkiye
Chi‐Fa Hung relative to Nicholas Graham United Kingdom Nicholas Graham's profile →
Citations per field
00.5×1.5×1.9×
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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-authors

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

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201693
2 201670
3 201466
4 201953
5 201851
6 201946
7 201437
8 201134
9 202031
10 200530
11 201630
12 202129
13 201627
14 202227
15 201124
16 201123
17 202121
18 201721
19 201621
20 201721

About Chi‐Fa Hung

Chi‐Fa Hung is a scholar working on Psychiatry and Mental health, Clinical Psychology, Neurology, Oncology and Physiology, having authored 72 papers that have together received 1.2k indexed citations. Recurring topics across this work include Schizophrenia research and treatment (11 papers), Cancer survivorship and care (7 papers), Parkinson's Disease Mechanisms and Treatments (6 papers), Tryptophan and brain disorders (4 papers), Bipolar Disorder and Treatment (3 papers), Telomeres, Telomerase, and Senescence (3 papers), Family Caregiving in Mental Illness (3 papers) and Mental Health and Psychiatry (3 papers). The work is most often cited by research in Biological Psychiatry (86 citations), Aging (35 citations), Psychiatry and Mental health (261 citations), Behavioral Neuroscience (38 citations) and Endocrine and Autonomic Systems (63 citations). Chi‐Fa Hung has collaborated with scholars based in Taiwan, United Kingdom and United States. Frequent co-authors include Pao‐Yen Lin, Yu‐Chi Huang, Liang‐Jen Wang, Mian‐Yoon Chong, Yu Lee, Nien‐Mu Chiu, Chih‐Yen Chien, Su‐Ting Hsu, Ping‐Tao Tseng and Fu‐Min Fang. Their work appears in journals such as International Journal of Environmental Research and Public Health, Frontiers in Psychiatry, Progress in Neuro-Psychopharmacology and Biological Psychiatry, Cancer Management and Research and Journal of Affective Disorders.

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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