Wenli Yang
Impact in
- Physiology top 0.2%
- Adipose Tissue and Metabolism
- Geriatrics and Gerontology top 0.5%
Papers in
-
- Parasitic Infections and Diagnostics 8
-
- Acute Myeloid Leukemia Research 8
- Co-authors
- Bruce M. SpiegelmanJiandie D. LinMarc UldryPatrick SealeChristoph HandschinSherry ChinJulie St‐PierreShingo Kajimura
- Journals
- Cell Metabolism (4 papers)Applied and Environmental Microbiology (4 papers)Cell stem cell (3 papers)Proceedings of the National Academy of Sciences (3 papers)Cell Reports (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Wenli Yang
92 papers receiving 10.6k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Physiology 5.1k
- Geriatrics and Gerontology 475
- Rehabilitation 793
- Biochemistry 729
- Parasitology 575
Countries citing papers authored by Wenli Yang
This map shows the geographic impact of Wenli Yang'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 Wenli Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenli Yang more than expected).
Fields of papers citing papers by Wenli Yang
This network shows the impact of papers produced by Wenli Yang. 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 Wenli Yang. The network helps show where Wenli Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Wenli Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 4 | |
| 4 | 2023 | 5 | |
| 5 | 2023 | 14 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 12 | |
| 8 | 2023 | 2 | |
| 9 | 2022 | 6 | |
| 10 | 2021 | 149 | |
| 11 | 2020 | 5 | |
| 12 | A method of rapid rabbit atherosclerosis model establishment | 2017 | 1 |
| 13 | 2017 | 19 | |
| 14 | 2016 | 46 | |
| 15 | 2015 | 25 | |
| 16 | 2013 | 23 | |
| 17 | 2012 | 30 | |
| 18 | Transcriptional Control of Brown Fat Determination by PRDM16 Hit paper breakdown → | 2007 | 951 |
| 19 | Suppression of Reactive Oxygen Species and Neurodegeneration by the PGC-1 Transcriptional Coactivators Hit paper breakdown → | 2006 | 1870 |
| 20 | Hyperlipidemic Effects of Dietary Saturated Fats Mediated through PGC-1β Coactivation of SREBP Hit paper breakdown → | 2005 | 513 |
About Wenli Yang
Wenli Yang is a scholar working on Parasitology, Hematology, Molecular Biology, Genetics and Biochemistry, having authored 100 papers that have together received 10.7k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (11 papers), Pluripotent Stem Cells Research (9 papers), Acute Myeloid Leukemia Research (8 papers), CRISPR and Genetic Engineering (8 papers), Parasitic Infections and Diagnostics (8 papers), RNA Research and Splicing (5 papers), Mitochondrial Function and Pathology (5 papers) and Renal and related cancers (4 papers). The work is most often cited by research in Physiology (5.1k citations), Geriatrics and Gerontology (475 citations), Rehabilitation (793 citations), Biochemistry (729 citations) and Parasitology (575 citations). Wenli Yang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Bruce M. Spiegelman, Jiandie D. Lin, Marc Uldry, Patrick Seale, Christoph Handschin, Sherry Chin, Julie St‐Pierre, Shingo Kajimura, James Rhee and Kangni Zheng. Their work appears in journals such as Cell Metabolism, Applied and Environmental Microbiology, Cell stem cell, Proceedings of the National Academy of Sciences and Cell Reports.
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.