Wanli Cheng

11 total papers · 862 total citations
9 papers, 731 citations indexed

About

Wanli Cheng is a scholar working on Molecular Biology, Surgery and Clinical Biochemistry. According to data from OpenAlex, Wanli Cheng has authored 9 papers receiving a total of 731 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Surgery and 2 papers in Clinical Biochemistry. Recurrent topics in Wanli Cheng's work include Peroxisome Proliferator-Activated Receptors (5 papers), Cholesterol and Lipid Metabolism (4 papers) and Enzyme-mediated dye degradation (2 papers). Wanli Cheng is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (5 papers), Cholesterol and Lipid Metabolism (4 papers) and Enzyme-mediated dye degradation (2 papers). Wanli Cheng collaborates with scholars based in United States, China and Brazil. Wanli Cheng's co-authors include Nada A. Abumrad, S. Frieda A. Pearce, Roy L. Silverstein, Maria Febbraio, Kavita Sharma, David P. Hajjar, Dominic L. Li, Bethan E. Phillips, Shih‐Torng Ding and Yan Li and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Clinical Endocrinology & Metabolism and The FASEB Journal.

In The Last Decade

Wanli Cheng

8 papers receiving 722 citations

Hit Papers

A Null Mutation in Murine... 1999 2026 2008 2017 1999 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Wanli Cheng 424 197 162 118 115 9 731
Isabelle Lefrère 373 0.9× 184 0.9× 142 0.9× 95 0.8× 134 1.2× 8 761
Wendy S. Rosebury 497 1.2× 123 0.6× 266 1.6× 129 1.1× 97 0.8× 15 839
Chen-Yi Lin 287 0.7× 239 1.2× 222 1.4× 54 0.5× 129 1.1× 11 624
Kevin Wroblewski 335 0.8× 267 1.4× 147 0.9× 129 1.1× 276 2.4× 9 817
JC Fruchart 581 1.4× 165 0.8× 100 0.6× 151 1.3× 144 1.3× 9 898
Shoba Shetty 291 0.7× 194 1.0× 145 0.9× 74 0.6× 270 2.3× 11 746
Kensuke Furukawa 494 1.2× 163 0.8× 197 1.2× 54 0.5× 200 1.7× 12 829
Tina Rubic 435 1.0× 111 0.6× 169 1.0× 255 2.2× 118 1.0× 10 777
Sudhir Marathe 486 1.1× 116 0.6× 160 1.0× 115 1.0× 58 0.5× 14 761
J C Monge 260 0.6× 221 1.1× 185 1.1× 89 0.8× 99 0.9× 17 750

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

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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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