Liuyi Wang

24 papers receiving 385 citations

Peers

Liuyi Wang
Comparison fields: 5 of 101
  • Biochemistry 32
  • Food Science 67
  • Cancer Research 42
  • Materials Chemistry 107
  • Pharmaceutical Science 12
Replace Tomasz M. Stępkowski with:
Tomasz M. Stępkowski Poland
Vishal Mali United States
Osama M. Al‐Amer Saudi Arabia
Elina Kaviani Iran
Flávia Martinello Brazil
Moath Alqaraleh Jordan
Badrinathan Sridharan India
Prachi Gupta India
Anjali Chandra United States
R. L. Babu India
Liuyi Wang relative to Tomasz M. Stępkowski Poland Tomasz M. Stępkowski's profile →
Citations per field
00.5×3.7×
Tomasz M. Stępkowski · 1×
Citations per year

Countries citing papers authored by Liuyi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Liuyi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Liuyi Wang. 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 Liuyi Wang. The network helps show where Liuyi Wang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019100
2 202267
3 201448
4 201231
5 200321
6 201918
7 202016
8 202215
9 202114
10 201913
11
Serum miR-92a is Elevated in Children and Adults with Obstructive Sleep Apnea.
20208
12 20236
13
Intramuscular injection of naked plasmid DNA encoding human preproinsulin gene in streptozotocin-diabetes mice results in a significant reduction of blood glucose level.
20036
14 20224
15 20194
16
[Synergetic taste masking of lipid coating and beta-cyclodextrin inclusion].
20144
17 20243
18 20173
19 20252
20
[Identification of the polymorphs of clopidogrel bisulfate based on the steric morphology parameters of crystals].
20132

About Liuyi Wang

Liuyi Wang is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Physiology, Cancer Research and Surgery, having authored 26 papers that have together received 389 indexed citations. Recurring topics across this work include Phytochemicals and Antioxidant Activities (3 papers), Proteins in Food Systems (2 papers), Atherosclerosis and Cardiovascular Diseases (2 papers), Obstructive Sleep Apnea Research (2 papers), Pancreatic function and diabetes (2 papers), MicroRNA in disease regulation (2 papers), Cancer-related molecular mechanisms research (2 papers) and Bone Metabolism and Diseases (2 papers). The work is most often cited by research in Biochemistry (32 citations), Food Science (67 citations), Cancer Research (42 citations), Materials Chemistry (107 citations) and Pharmaceutical Science (12 citations). Liuyi Wang has collaborated with scholars based in China, United States and Malaysia. Frequent co-authors include Yan Zhang, Chee Woon Wang, Yifan Zhu, Zheng Feei, Hongxia Zhang, Yutong Zhang, Zhi Wang, Zhiyong Gao, Chengkai Zhang and Di Sun. Their work appears in journals such as PLoS ONE, The FASEB Journal, Acta Pharmaceutica Sinica B, Journal of Cellular Biochemistry and Medicine.

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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