Chung‐Fu Lan

30 papers receiving 550 citations

Peers

Chung‐Fu Lan
Comparison fields: 5 of 105
  • Geriatrics and Gerontology 92
  • Health 64
  • General Health Professions 180
  • Psychiatry and Mental health 102
  • Neuropsychology and Physiological Psychology 9
Replace Ka Keat Lim with:
Ka Keat Lim Singapore
Rasheeda K. Hall United States
Yong Fang Kuo United States
Irene Turpie Canada
A.W. Ambergen Netherlands
Ainsley Moore Canada
Elizabeth Cottrell United Kingdom
Lufei Young United States
Anna P. Schenck United States
Chung‐Fu Lan relative to Ka Keat Lim Singapore Ka Keat Lim's profile →
Citations per field
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Citations per year

Countries citing papers authored by Chung‐Fu Lan

Since Specialization
Citations

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

Fields of papers citing papers by Chung‐Fu Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chung‐Fu Lan. 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 Chung‐Fu Lan. The network helps show where Chung‐Fu Lan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201369
2 200946
3 200940
4 200837
5 200835
6 201027
7 200926
8 201225
9
Factors associated with prolonged hospital stay for acute stroke in Taiwan.
200825
10 200824
11
An Epidemiological Study on Polychlorinated Biphenyls Poisoning in Taichung Area
198120
12 201320
13 200819
14 201319
15 200916
16 199515
17 201414
18 199614
19 201713
20 201011

About Chung‐Fu Lan

Chung‐Fu Lan is a scholar working on General Health Professions, Geriatrics and Gerontology, Psychiatry and Mental health, Public Health, Environmental and Occupational Health and Pediatrics, Perinatology and Child Health, having authored 32 papers that have together received 572 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (9 papers), Frailty in Older Adults (9 papers), Geriatric Care and Nursing Homes (8 papers), Kidney Stones and Urolithiasis Treatments (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Health disparities and outcomes (3 papers), Pediatric Urology and Nephrology Studies (3 papers) and Telemedicine and Telehealth Implementation (2 papers). The work is most often cited by research in Geriatrics and Gerontology (92 citations), Health (64 citations), General Health Professions (180 citations), Psychiatry and Mental health (102 citations) and Neuropsychology and Physiological Psychology (9 citations). Chung‐Fu Lan has collaborated with scholars based in Taiwan, United States and South Sudan. Frequent co-authors include Liang‐Kung Chen, Shinn‐Jang Hwang, Kuo‐How Huang, Weiyi Huang, Hong‐Chiang Chang, Hui‐Chu Lang, Ming-Hsien Lin, Yi‐Ming Chen, Li‐Ning Peng and Christy Pu. Their work appears in journals such as Archives of Gerontology and Geriatrics, CIN Computers Informatics Nursing, Journal of the American Medical Directors Association, Social Science & Medicine and Journal of Endourology.

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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