Hung‐Yu Chen

474 citations
20 papers · 317 indexed · h-index 9

Hung‐Yu Chen

18 papers receiving 317 citations

Peers

Hung‐Yu Chen
Comparison fields: 5 of 72
  • Psychiatry and Mental health 157
  • Cognitive Neuroscience 136
  • Geriatrics and Gerontology 12
  • Biological Psychiatry 7
  • Physiology 70
Replace Yaiza Molina with:
Yaiza Molina Spain
Nicole Ridley Australia
Jaisalmer de Frutos‐Lucas Spain
Riccardo Manca United Kingdom
Sivaniya Subramaniapillai Canada
Ashita S. Gurnani United States
Cláudia S. Porto Brazil
Jennifer Gallo United States
Andrea Zangrossi Italy
Lauren E. Olson United States
Hung‐Yu Chen relative to Yaiza Molina Spain Yaiza Molina's profile →
Citations per field
00.5×3.5×
Yaiza Molina · 1×
Citations per year

Countries citing papers authored by Hung‐Yu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Hung‐Yu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20240
3 20245
4 20241
5 20242
6 20240
7 202311
8 20231
9 20221
10 202216
11 20223
12 202250
13 202168
14 202120
15 202022
16 202010
17 20206
18 20181
19 201721
20 201777

About Hung‐Yu Chen

Hung‐Yu Chen is a scholar working on Geriatrics and Gerontology, Neuropsychology and Physiological Psychology, Psychiatry and Mental health, Physiology and Hepatology, having authored 20 papers that have together received 317 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (6 papers), Alzheimer's disease research and treatments (3 papers), Frailty in Older Adults (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Nutrition and Health in Aging (3 papers), Cardiovascular Health and Disease Prevention (3 papers), Liver Disease Diagnosis and Treatment (2 papers) and Health disparities and outcomes (2 papers). The work is most often cited by research in Psychiatry and Mental health (157 citations), Cognitive Neuroscience (136 citations), Geriatrics and Gerontology (12 citations), Biological Psychiatry (7 citations) and Physiology (70 citations). Hung‐Yu Chen has collaborated with scholars based in Taiwan, United States and Canada. Frequent co-authors include Zahinoor Ismail, Kathleen B. McDermott, Adrian W. Gilmore, Scott M. Nelson, Eric E. Smith, Yin-Chou Hsu, Sascha Gill, Maryam Ghahremani, Henrik Zetterberg and Meng Wang. Their work appears in journals such as BMC Geriatrics, Sleep Medicine, Scientific Reports, Alzheimer s & Dementia and Aging.

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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