Li‐Chiu Wu

789 citations
27 papers · 614 · h-index 13

Impact in

Papers in

Li‐Chiu Wu

25 papers receiving 595 citations

Peers

Li‐Chiu Wu
Comparison fields: 5 of 69
  • Endocrinology, Diabetes and Metabolism 132
  • Cancer Research 77
  • Cardiology and Cardiovascular Medicine 112
  • Hepatology 28
  • Molecular Biology 224
Replace Di Sun with:
Di Sun China
Francesca Charlton Australia
Yuen Yin Lee United States
Horațiu Silaghi Romania
Antonina Giammanco Italy
Viera Kupčová Slovakia
Nickole N. Henyan United States
Soichiro Saikawa Japan
August H. M. Smelt Netherlands
Li‐Chiu Wu relative to Di Sun China Di Sun's profile →
Citations per field
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Di Sun · 1×
Citations per year

Countries citing papers authored by Li‐Chiu Wu

Since Specialization
Citations

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

Fields of papers citing papers by Li‐Chiu Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011161
2 2012108
3 201169
4 201461
5 201437
6 201620
7 201618
8 202216
9 201315
10 202214
11 201414
12 201813
13 201912
14 201610
15 20149
16 20238
17 20147
18 20135
19 20225
20 20145

About Li‐Chiu Wu

Li‐Chiu Wu is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Molecular Biology, Pharmacology and Pulmonary and Respiratory Medicine, having authored 27 papers that have together received 614 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (6 papers), Inflammatory mediators and NSAID effects (2 papers), Blood Pressure and Hypertension Studies (2 papers), Heart Failure Treatment and Management (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Antiplatelet Therapy and Cardiovascular Diseases (2 papers), Diabetes Management and Research (1 paper) and Hyperglycemia and glycemic control in critically ill and hospitalized patients (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (132 citations), Cancer Research (77 citations), Cardiology and Cardiovascular Medicine (112 citations), Hepatology (28 citations) and Molecular Biology (224 citations). Li‐Chiu Wu has collaborated with scholars based in Taiwan, United States and South Korea. Frequent co-authors include Chia‐Hsuin Chang, Jou‐Wei Lin, Mei‐Shu Lai, Lee‐Ming Chuang, K. Arnold Chan, James L. Caffrey, Jiun‐Ling Wang, Sengwee Toh, Fu‐Chun Chiu and Yaa‐Hui Dong. Their work appears in journals such as Frontiers in Pharmacology, Diabetes Obesity and Metabolism, Journal of Hypertension, Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy and British Journal of Clinical Pharmacology.

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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