Li‐Nien Chien

1.8k citations
100 papers · 1.3k · h-index 20

Impact in

Papers in

Li‐Nien Chien

94 papers receiving 1.3k citations

Peers

Li‐Nien Chien
Comparison fields: 5 of 115
  • Family Practice 16
  • Ophthalmology 76
  • Neurology 70
  • Gastroenterology 42
  • Cardiology and Cardiovascular Medicine 142
Replace Chin-Chou Huang with:
Chin-Chou Huang Taiwan
Mai N. Nguyen‐Huynh United States
Ryan D. Frank United States
Neil E. Anderson New Zealand
Åse Krogh Rasmussen Denmark
Li Pan China
Lars Thomassen Norway
Chia‐Min Chung Taiwan
Matthew F. Giles United Kingdom
Xavier Mundet Spain
Li‐Nien Chien relative to Chin-Chou Huang Taiwan Chin-Chou Huang's profile →
Citations per field
00.5×3.7×
Chin-Chou Huang · 1×
Citations per year

Countries citing papers authored by Li‐Nien Chien

Since Specialization
Citations

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

Fields of papers citing papers by Li‐Nien Chien

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li‐Nien Chien. 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 Li‐Nien Chien. The network helps show where Li‐Nien Chien may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013104
2 201487
3 201666
4 201454
5 201647
6 201941
7 202038
8 201638
9 201836
10 202133
11 201529
12 201929
13 201528
14 201827
15 200925
16 201925
17 201422
18 202121
19 201721
20 202021

About Li‐Nien Chien

Li‐Nien Chien is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Oncology, Neurology and Pulmonary and Respiratory Medicine, having authored 100 papers that have together received 1.3k indexed citations. Recurring topics across this work include Atrial Fibrillation Management and Outcomes (6 papers), Antiplatelet Therapy and Cardiovascular Diseases (6 papers), Gastroesophageal reflux and treatments (5 papers), Global Cancer Incidence and Screening (5 papers), Epilepsy research and treatment (4 papers), Acute Myocardial Infarction Research (4 papers), Parkinson's Disease Mechanisms and Treatments (4 papers) and Bone health and osteoporosis research (3 papers). The work is most often cited by research in Family Practice (16 citations), Ophthalmology (76 citations), Neurology (70 citations), Gastroenterology (42 citations) and Cardiology and Cardiovascular Medicine (142 citations). Li‐Nien Chien has collaborated with scholars based in Taiwan, United States and Vietnam. Frequent co-authors include Hung‐Yi Chiou, Nai‐Fang Chi, Lung Chan, Chaur‐Jong Hu, Chien‐Tai Hong, Po-Ya Chang, E. Kathleen Adams, Hsiao‐Lun Ku, Yuh‐Feng Lin and I‐Chan Lin. Their work appears in journals such as PLoS ONE, The Spine Journal, Scientific Reports, Medicine and International Journal of Eating Disorders.

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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