Wanli Cheng

863 citations
9 papers · 734 indexed · 1 hit paper · h-index 6
Topics
Peroxisome Proliferator-Activated Receptors (5 papers)Cholesterol and Lipid Metabolism (4 papers)Enzyme-mediated dye degradation (2 papers)
Partner nations
United StatesChinaBrazil

In The Last Decade

Wanli Cheng

8 papers receiving 725 citations

Hit Papers

A Null Mutation in Murine CD36 Reveals an Important Role ...19992026200820171999200400600

Peers

Wanli Cheng
Comparison fields: 5 of 76
  • Molecular Biology 425
  • Physiology 199
  • Surgery 162
  • Immunology 118
  • Epidemiology 117
Replace Carolyn L. Buller with:
Carolyn L. Buller United States
Kun Wook Chung South Korea
Jin Woo Choi South Korea
C Pacot France
K A Leingang United States
Ariane Pessentheiner United States
Caroline A. Wallace United Kingdom
Gene Hsiao United States
Tinghuai Wu United States
Tomas Jakobsson Sweden
Wanli Cheng relative to Carolyn L. Buller United States Carolyn L. Buller's profile →
Citations per field
00.5×1.5×1.9×
Carolyn L. Buller · 1×
Citations per year

Countries citing papers authored by Wanli Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Wanli Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wanli Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Wanli Cheng. A scholar is included among the top collaborators of Wanli Cheng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wanli Cheng. Wanli Cheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 1
2 0
3 15
4 1
5
A Null Mutation in Murine CD36 Reveals an Important Role in Fatty Acid and Lipoprotein Metabolismbreakdown →
650
6 14
7
Effect of HMB on fuel utilization, membrane stability and creatine kinase content of cultured muscle cells
9
8 30
9 14

About Wanli Cheng

Wanli Cheng is a scholar working on Clinical Biochemistry, Geriatrics and Gerontology and Biotechnology, having authored 9 papers that have together received 734 indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (5 papers), Cholesterol and Lipid Metabolism (4 papers) and Enzyme-mediated dye degradation (2 papers). The work is most often cited by research in Biochemistry (91 citations), Physiology (199 citations) and Clinical Biochemistry (44 citations). Wanli Cheng has collaborated with scholars based in United States, China and Brazil. Frequent co-authors include Nada A. Abumrad, David P. Hajjar, Roy L. Silverstein, S. Frieda A. Pearce, Maria Febbraio, Kavita Sharma, Dominic L. Li, Bethan E. Phillips, Shih‐Torng Ding and Zhengbing Jiang. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Clinical Endocrinology & Metabolism and The FASEB Journal.

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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