Jeng-Feng Lin

21 papers receiving 307 citations

Peers

Jeng-Feng Lin
Comparison fields: 5 of 67
  • Geriatrics and Gerontology 37
  • Cardiology and Cardiovascular Medicine 100
  • Rheumatology 64
  • Immunology 69
  • Physiology 70
Replace Ziyang Huang with:
Ziyang Huang China
Yijun Dong China
Karen Fjeldborg Denmark
Necati Dağlı Türkiye
Liting Zhang China
Clara Bambace Italy
Iram Faqir Muhammad Sweden
Rana Ghali Lebanon
Yingqian Zhu China
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Citations per field
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Citations per year

Countries citing papers authored by Jeng-Feng Lin

Since Specialization
Citations

This map shows the geographic impact of Jeng-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 Jeng-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 Jeng-Feng Lin more than expected).

Fields of papers citing papers by Jeng-Feng Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jeng-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 Jeng-Feng Lin Line = papers co-authored together Jeng-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 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200850
2 201734
3 201432
4 201919
5 201917
6 201616
7 201116
8 201616
9 201313
10 201513
11 200713
12 201611
13 201311
14 201510
15 201210
16 201010
17 20128
18 20177
19 20215
20
An early diagnosis leads to a good prognosis: a patient with maple syrup urine disease--screened by tandem mass spectrometry.
20052

About Jeng-Feng Lin

Jeng-Feng Lin is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Epidemiology, Immunology and Cancer Research, having authored 23 papers that have together received 315 indexed citations. Recurring topics across this work include Heart Failure Treatment and Management (4 papers), Cardiovascular Function and Risk Factors (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Macrophage Migration Inhibitory Factor (2 papers), Sirtuins and Resveratrol in Medicine (2 papers), Pulmonary Hypertension Research and Treatments (2 papers), Cardiac electrophysiology and arrhythmias (2 papers) and IL-33, ST2, and ILC Pathways (2 papers). The work is most often cited by research in Geriatrics and Gerontology (37 citations), Cardiology and Cardiovascular Medicine (100 citations), Rheumatology (64 citations), Immunology (69 citations) and Physiology (70 citations). Jeng-Feng Lin has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Yu‐Lin Ko, Semon Wu, Ming‐Sheng Teng, Lung‐An Hsu, Hsuan‐Li Huang, Fu‐Tien Chiang, Su-Man Lin, Hsin‐Hua Chou, Hsing-Hui Su and Chun-Lien Chih. Their work appears in journals such as The American Journal of the Medical Sciences, Molecular Genetics and Genomics, Journal of Pharmacology and Experimental Therapeutics, International Journal of Medical Sciences and Journal of Investigative Medicine.

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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