I-Chun Lin

1.9k citations
79 papers · 1.5k · h-index 23

Impact in

Papers in

I-Chun Lin

78 papers receiving 1.5k citations

Peers

I-Chun Lin
Comparison fields: 5 of 110
  • Obstetrics and Gynecology 203
  • Pediatrics, Perinatology and Child Health 395
  • Physiology 332
  • Biological Psychiatry 25
  • Pulmonary and Respiratory Medicine 316
Replace Ottavio Giampietro with:
Ottavio Giampietro Italy
Gary Chusney United Kingdom
J. Falconer United Kingdom
Omar Elfeky United States
Edgar Delvin Canada
Philippe Durand France
Carolina Gutiérrez‐Repiso Spain
Kuppan Gokulakrishnan India
Per‐Anders Jansson Sweden
Jun Tang China
I-Chun Lin relative to Ottavio Giampietro Italy Ottavio Giampietro's profile →
Citations per field
00.5×4.4×
Ottavio Giampietro · 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 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201093
2 201174
3 201261
4 201057
5 201457
6 201753
7 201848
8 201246
9 201543
10 202241
11 200940
12 201839
13 202030
14 200829
15 202028
16 201828
17 201528
18 201926
19 201826
20 201726

About I-Chun Lin

I-Chun Lin is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Epidemiology, Physiology and Cardiology and Cardiovascular Medicine, having authored 79 papers that have together received 1.5k indexed citations. Recurring topics across this work include Birth, Development, and Health (14 papers), Kawasaki Disease and Coronary Complications (12 papers), Coronary Artery Anomalies (12 papers), Congenital Heart Disease Studies (11 papers), Adipose Tissue and Metabolism (8 papers), Diet and metabolism studies (6 papers), Liver Disease Diagnosis and Treatment (6 papers) and Cardiac Structural Anomalies and Repair (5 papers). The work is most often cited by research in Obstetrics and Gynecology (203 citations), Pediatrics, Perinatology and Child Health (395 citations), Physiology (332 citations), Biological Psychiatry (25 citations) and Pulmonary and Respiratory Medicine (316 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, Shao‐Ju Chien, Chien‐Ning Hsu, Chih‐Cheng Chen, Mao‐Hung Lo and Kuender D. Yang. 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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