I-Chun Lin

1.9k citations
80 papers · 1.6k · h-index 24

Impact in

Papers in

    • Kawasaki Disease and Coronary Complications 12
    • Diet and metabolism studies 5
    • Adipose Tissue and Metabolism 5
    • Nitric Oxide and Endothelin Effects 4

I-Chun Lin

79 papers receiving 1.6k citations

Peers

I-Chun Lin
Comparison fields: 5 of 109
  • Obstetrics and Gynecology 191
  • Pediatrics, Perinatology and Child Health 361
  • Physiology 301
  • Geriatrics and Gerontology 36
  • Biological Psychiatry 24
Replace Camilla F. Wenceslau with:
Camilla F. Wenceslau United States
Ottavio Giampietro Italy
Gary Chusney United Kingdom
J. Falconer United Kingdom
Gloria Bonaccorsi Italy
Omar Elfeky United States
Miloš Mráz Czechia
Kuppan Gokulakrishnan India
Pauline Darling Canada
Jun Tang China
I-Chun Lin relative to Camilla F. Wenceslau United States Camilla F. Wenceslau's profile →
Citations per field
00.5×3.3×
Camilla F. Wenceslau · 1×
Citations per year

Countries citing papers authored by I-Chun Lin

Since Specialization
Citations

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

Fields of papers citing papers by I-Chun Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010101
2 201177
3 201267
4 201059
5 201458
6 201754
7 201849
8 201247
9 201544
10 201841
11 202241
12 200940
13 202031
14 202031
15 201530
16 200829
17 201828
18 201927
19 201727
20 201826

About I-Chun Lin

I-Chun Lin is a scholar working on Surgery, Physiology, Pulmonary and Respiratory Medicine, Epidemiology and Cardiology and Cardiovascular Medicine, having authored 80 papers that have together received 1.6k indexed citations. Recurring topics across this work include Kawasaki Disease and Coronary Complications (12 papers), Birth, Development, and Health (8 papers), Coronary Artery Anomalies (7 papers), Diet and metabolism studies (5 papers), Adipose Tissue and Metabolism (5 papers), Nitric Oxide and Endothelin Effects (4 papers), Gestational Diabetes Research and Management (4 papers) and Congenital Heart Disease Studies (4 papers). The work is most often cited by research in Obstetrics and Gynecology (191 citations), Pediatrics, Perinatology and Child Health (361 citations), Physiology (301 citations), Geriatrics and Gerontology (36 citations) and Biological Psychiatry (24 citations). I-Chun Lin has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include You‐Lin Tain, Li‐Tung Huang, Hong‐Ren Yu, Jiunn‐Ming Sheen, Mao‐Meng Tiao, Chien‐Ning Hsu, Shao‐Ju Chien, Chih‐Cheng Chen, Kuender D. Yang and Mao‐Hung Lo. Their work appears in journals such as International Journal of Molecular Sciences, Lipids in Health and Disease, The Journal of Nutritional Biochemistry, Biomedical Journal and PLoS ONE.

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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