Chao‐Feng Lin

634 citations
25 papers · 429 · h-index 9

Impact in

Papers in

Chao‐Feng Lin

24 papers receiving 419 citations

Peers

Chao‐Feng Lin
Comparison fields: 5 of 96
  • Geriatrics and Gerontology 45
  • Cardiology and Cardiovascular Medicine 147
  • Nephrology 34
  • Physiology 124
  • Water Science and Technology 32
Replace Lihua Hu with:
Lihua Hu China
Miran A. Jaffa Lebanon
Xia Xu China
Naohito Isoyama Japan
Yuan‐Yuei Chen Taiwan
Yejee Lim South Korea
Chenming Wang China
Liying Cao China
Haifeng Xu China
Chao‐Feng Lin relative to Lihua Hu China Lihua Hu's profile →
Citations per field
00.5×
Lihua Hu · 1×
Citations per year

Countries citing papers authored by Chao‐Feng Lin

Since Specialization
Citations

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

Fields of papers citing papers by Chao‐Feng Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chao‐Feng Lin. 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 Chao‐Feng Lin. The network helps show where Chao‐Feng Lin may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017125
2 201961
3 202158
4 201540
5 202134
6 201932
7 202217
8 202111
9 202111
10 20238
11
Characterization of gamma-crystallin from a catfish: structural characterization of one major isoform with high methionine by cDNA sequencing.
19957
12 20234
13 20243
14 20223
15 20192
16 20242
17 20242
18 20222
19 20242
20 20251

About Chao‐Feng Lin

Chao‐Feng Lin is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Physiology, Molecular Biology and Cancer Research, having authored 25 papers that have together received 429 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (5 papers), MicroRNA in disease regulation (3 papers), Heart Failure Treatment and Management (3 papers), Cardiovascular Function and Risk Factors (3 papers), Angiogenesis and VEGF in Cancer (3 papers), Nutrition and Health in Aging (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers) and Alzheimer's disease research and treatments (2 papers). The work is most often cited by research in Geriatrics and Gerontology (45 citations), Cardiology and Cardiovascular Medicine (147 citations), Nephrology (34 citations), Physiology (124 citations) and Water Science and Technology (32 citations). Chao‐Feng Lin has collaborated with scholars based in Taiwan, Netherlands and Singapore. Frequent co-authors include Hung‐I Yeh, Shih‐Chieh Chien, Chun‐Yen Chen, Chung‐Lieh Hung, Cheng‐Huang Su, Chi‐In Lo, Wen‐Hung Huang, Ta‐Chuan Hung, Chun‐Ho Yun and Kuo‐Tzu Sung. Their work appears in journals such as Journal of Cellular and Molecular Medicine, Journal of Personalized Medicine, PLoS Medicine, Biomarker Research and Scientific Reports.

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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