Kai‐Li Liu

6.4k citations
199 papers · 4.8k · h-index 39

Impact in

Papers in

Kai‐Li Liu

190 papers receiving 4.7k citations

Peers

Kai‐Li Liu
Comparison fields: 5 of 144
  • Biochemistry 372
  • Complementary and alternative medicine 361
  • Biological Psychiatry 96
  • Nutrition and Dietetics 531
  • Biochemistry 186
Replace Tiziana Genovese with:
Tiziana Genovese Italy
Hisanori Suzuki Italy
Madhu Dikshit India
Manuela Aragno Italy
Partha Mukhopadhyay United States
Paola Venditti Italy
Roger F. Castilho Brazil
Jun Lü China
S. Di Meo Italy
Han Geuk Seo South Korea
Kai‐Li Liu relative to Tiziana Genovese Italy Tiziana Genovese's profile →
Citations per field
00.5×1.5×2.3×
Tiziana Genovese · 1×
Citations per year

Countries citing papers authored by Kai‐Li Liu

Since Specialization
Citations

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

Fields of papers citing papers by Kai‐Li Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 199 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011169
2 2008148
3 2012126
4 2020120
5 2003105
6 2006100
7 201499
8 202094
9 200689
10 202184
11 201682
12 199981
13 202078
14 200974
15 201173
16 200970
17 202168
18 201867
19 200664
20 201364

About Kai‐Li Liu

Kai‐Li Liu is a scholar working on Molecular Biology, Nutrition and Dietetics, Physiology, Biochemistry and Immunology, having authored 199 papers that have together received 4.8k indexed citations. Recurring topics across this work include Fatty Acid Research and Health (15 papers), Genomics, phytochemicals, and oxidative stress (15 papers), Eicosanoids and Hypertension Pharmacology (14 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (11 papers), Andrographolide Research and Applications (9 papers), Heme Oxygenase-1 and Carbon Monoxide (8 papers), Nanoplatforms for cancer theranostics (8 papers) and Adipose Tissue and Metabolism (7 papers). The work is most often cited by research in Biochemistry (372 citations), Complementary and alternative medicine (361 citations), Biological Psychiatry (96 citations), Nutrition and Dietetics (531 citations) and Biochemistry (186 citations). Kai‐Li Liu has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Haw‐Wen Chen, Chong‐Kuei Lii, Chien‐Chun Li, Chong‐Kuei Lii, Chia‐Yang Lu, Yu‐Ming Kang, Ya–Chen Yang, Xiao‐Jing Yu, Ai‐Hsuan Lin and Martha A. Belury. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Cardiovascular Toxicology, Food and Chemical Toxicology, Nutrients and Phytomedicine.

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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