Yu‐Chi Cheng
Impact in
- Geriatrics and Gerontology top 2%
- Sirtuins and Resveratrol in Medicine
- Physiology top 10%
- Pain Mechanisms and Treatments
- Calcium signaling and nucleotide metabolism
Papers in
-
- Autophagy in Disease and Therapy 7
- Co-authors
- Xin Wen (3 shared papers)Zen‐Kong Dai (5 shared papers)Bin‐Nan Wu (5 shared papers)B. Liu (2 shared papers)Liang Ouyang (2 shared papers)Lixia Chen (1 shared paper)Leilei Fu (2 shared papers)J Liu (1 shared paper)
- Journals
- Cells (3 papers)Medicine (2 papers)Cell Death and Disease (2 papers)Experimental Biology and Medicine (2 papers)Phytomedicine (2 papers)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Yu‐Chi Cheng
23 papers receiving 857 citations
Peers
Comparison fields: 5 of 95
- Geriatrics and Gerontology 152
- Physiology 45
- Epidemiology 271
- Nephrology 55
- Physiology 170
Countries citing papers authored by Yu‐Chi Cheng
This map shows the geographic impact of Yu‐Chi 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 Yu‐Chi Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu‐Chi Cheng more than expected).
Fields of papers citing papers by Yu‐Chi Cheng
This network shows the impact of papers produced by Yu‐Chi 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 Yu‐Chi Cheng. The network helps show where Yu‐Chi Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu‐Chi 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
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 184 | |
| 2 | 2020 | 138 | |
| 3 | 2012 | 138 | |
| 4 | 2013 | 100 | |
| 5 | 2019 | 55 | |
| 6 | 2014 | 41 | |
| 7 | 2021 | 35 | |
| 8 | 2021 | 31 | |
| 9 | 2021 | 30 | |
| 10 | 2015 | 20 | |
| 11 | 2015 | 18 | |
| 12 | 2013 | 18 | |
| 13 | 2017 | 15 | |
| 14 | 2005 | 9 | |
| 15 | 2015 | 6 | |
| 16 | 2020 | 6 | |
| 17 | 2012 | 6 | |
| 18 | 2004 | 6 | |
| 19 | 2022 | 3 | |
| 20 | 2021 | 1 |
About Yu‐Chi Cheng
Yu‐Chi Cheng is a scholar working on Molecular Biology, Epidemiology, Physiology, Nephrology and Pulmonary and Respiratory Medicine, having authored 24 papers that have together received 863 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (7 papers), Pain Mechanisms and Treatments (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Renal Diseases and Glomerulopathies (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Sirtuins and Resveratrol in Medicine (2 papers), Phytochemistry and Biological Activities (2 papers) and Pharmacological Effects of Natural Compounds (2 papers). The work is most often cited by research in Geriatrics and Gerontology (152 citations), Physiology (45 citations), Epidemiology (271 citations), Nephrology (55 citations) and Physiology (170 citations). Yu‐Chi Cheng has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Xin Wen, Zen‐Kong Dai, Bin‐Nan Wu, B. Liu, Liang Ouyang, Lixia Chen, Leilei Fu, J Liu, Y Chen and Li‐Wen Chu. Their work appears in journals such as Cells, Medicine, Cell Death and Disease, Experimental Biology and Medicine and Phytomedicine.
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.