Yi-Chen Lee

22 papers receiving 501 citations

Peers

Yi-Chen Lee
Comparison fields: 5 of 86
  • Geriatrics and Gerontology 27
  • Cancer Research 98
  • Oncology 121
  • Epidemiology 138
  • Molecular Biology 171
Replace Zhen Ni with:
Zhen Ni China
Mohamad Assi France
Marjolaine Ngollo France
Katai J. Nkhata United States
Duc‐Vinh Pham South Korea
Guanghui Ren China
Daming Ou China
Xueliang Yang China
Zimam Mahmud Bangladesh
Louise King Australia
Yi-Chen Lee relative to Zhen Ni China Zhen Ni's profile →
Citations per field
00.5×1.5×2.5×
Zhen Ni · 1×
Citations per year

Countries citing papers authored by Yi-Chen Lee

Since Specialization
Citations

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

Fields of papers citing papers by Yi-Chen Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yi-Chen Lee. 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 Yi-Chen Lee. The network helps show where Yi-Chen Lee may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201287
2 201172
3 201266
4 201653
5 200846
6 202134
7 200931
8 202025
9 202017
10 201912
11 201711
12 20219
13 20208
14 20178
15 20227
16 20107
17 20244
18 20203
19
A descriptive exploratory survey of incontinence-associated dermatitis in the intensive care setting: The ADDrESS study
20182
20 20242

About Yi-Chen Lee

Yi-Chen Lee is a scholar working on Epidemiology, Pathology and Forensic Medicine, Cancer Research, Molecular Biology and Physiology, having authored 23 papers that have together received 506 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (4 papers), Psychosomatic Disorders and Their Treatments (2 papers), Alcohol Consumption and Health Effects (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Body Composition Measurement Techniques (1 paper), Traditional and Medicinal Uses of Annonaceae (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Geriatrics and Gerontology (27 citations), Cancer Research (98 citations), Oncology (121 citations), Epidemiology (138 citations) and Molecular Biology (171 citations). Yi-Chen Lee has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Shyng‐Shiou F. Yuan, Ming‐Feng Hou, Steven Lo, Yun‐Ju Chen, Jinu‐Huang Su, Hsueh-Ling Chang, Ya-Ching Hsieh, Chia‐Wen Lu, Yi‐Hsin Yang and Kuo‐Chin Huang. Their work appears in journals such as Nutrients, Travel Medicine and Infectious Disease, Cancer Letters, Gynecologic Oncology and Frontiers in Psychiatry.

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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