Chia‐Wei Cheng
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Physiology top 2%
- Diet and metabolism studies
- Dietary Effects on Health
- Adipose Tissue and Metabolism
Papers in
- Aging 2
- Co-authors
- Min WeiValter D. LongoPinchas CohenJaime Guevara‐AguirreFederica MadiaPriya BalasubramanianSebastian BrandhorstMario G. Mirisola
- Journals
- Cell stem cell (3 papers)Annals of the Entomological Society of America (2 papers)Cell Reports (2 papers)Electrophoresis (1 paper)Cell Metabolism (1 paper)
- Partner nations
- United StatesItalyTaiwan
In The Last Decade
Chia‐Wei Cheng
24 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Aging 348
- Physiology 1.3k
- Endocrine and Autonomic Systems 228
- Endocrinology, Diabetes and Metabolism 494
- Cancer Research 267
Countries citing papers authored by Chia‐Wei Cheng
This map shows the geographic impact of Chia‐Wei 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 Chia‐Wei Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chia‐Wei Cheng more than expected).
Fields of papers citing papers by Chia‐Wei Cheng
This network shows the impact of papers produced by Chia‐Wei 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 Chia‐Wei Cheng. The network helps show where Chia‐Wei Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Chia‐Wei Cheng, 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 | 2024 | 1 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2021 | 89 | |
| 5 | 2021 | 37 | |
| 6 | 2021 | 9 | |
| 7 | 2020 | 4 | |
| 8 | 2020 | 29 | |
| 9 | 2020 | 65 | |
| 10 | 2017 | 257 | |
| 11 | 2016 | 284 | |
| 12 | 2016 | 161 | |
| 13 | 2016 | 4 | |
| 14 | 2016 | 4 | |
| 15 | 2014 | 339 | |
| 16 | Low Protein Intake Is Associated with a Major Reduction in IGF-1, Cancer, and Overall Mortality in the 65 and Younger but Not Older Population Hit paper breakdown → | 2014 | 655 |
| 17 | 2013 | 33 | |
| 18 | Growth Hormone Receptor Deficiency Is Associated with a Major Reduction in Pro-Aging Signaling, Cancer, and Diabetes in Humans Hit paper breakdown → | 2011 | 560 |
| 19 | 2010 | 7 | |
| 20 | 2008 | 3 |
About Chia‐Wei Cheng
Chia‐Wei Cheng is a scholar working on Aging, Structural Biology, Physiology, Oncology and Cancer Research, having authored 24 papers that have together received 2.6k indexed citations. Recurring topics across this work include Diet and metabolism studies (7 papers), Dietary Effects on Health (5 papers), Cancer Cells and Metastasis (5 papers), Digestive system and related health (5 papers), Epigenetics and DNA Methylation (4 papers), FOXO transcription factor regulation (4 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Aging (348 citations), Physiology (1.3k citations), Endocrine and Autonomic Systems (228 citations), Endocrinology, Diabetes and Metabolism (494 citations) and Cancer Research (267 citations). Chia‐Wei Cheng has collaborated with scholars based in United States, Italy and Taiwan. Frequent co-authors include Min Wei, Valter D. Longo, Pinchas Cohen, Jaime Guevara‐Aguirre, Federica Madia, Priya Balasubramanian, Sebastian Brandhorst, Mario G. Mirisola, Alejandro Martín‐Montalvo and Rafael de Cabo. Their work appears in journals such as Cell stem cell, Annals of the Entomological Society of America, Cell Reports, Electrophoresis and Cell Metabolism.
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.