Juei‐Tang Cheng
- Molecular Biology top 2%
- Physiology top 1%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Complementary and alternative medicine top 0.1%
- Cellular and Molecular Neuroscience top 1%
- Co-authors
- I-Min LiuFeng‐Lin HsuKai‐Chun ChengPaul ChanYingxiao LiHung‐Tsung WuYat-Ching TongWang-Chuan Chen
- Topics
- Receptor Mechanisms and Signaling (59 papers)Neuropeptides and Animal Physiology (57 papers)Metabolism, Diabetes, and Cancer (44 papers)
- Journals
- Angewandte Chemie International EditionSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- TaiwanJapanUnited States
In The Last Decade
Juei‐Tang Cheng
392 papers receiving 9.9k citations
Peers
Comparison fields: 5 of 167
- Molecular Biology 3.7k
- Physiology 1.8k
- Endocrinology, Diabetes and Metabolism 1.8k
- Complementary and alternative medicine 1.3k
- Cellular and Molecular Neuroscience 1.2k
Countries citing papers authored by Juei‐Tang Cheng
This map shows the geographic impact of Juei‐Tang 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 Juei‐Tang Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juei‐Tang Cheng more than expected).
Fields of papers citing papers by Juei‐Tang Cheng
This network shows the impact of papers produced by Juei‐Tang 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 Juei‐Tang Cheng. The network helps show where Juei‐Tang Cheng may publish in the future.
Co-authorship network of co-authors of Juei‐Tang Cheng
This figure shows the co-authorship network connecting the top 25 collaborators of Juei‐Tang Cheng. A scholar is included among the top collaborators of Juei‐Tang 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 Juei‐Tang Cheng. Juei‐Tang Cheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 43 | |
| 3 | 11 | |
| 4 | 9 | |
| 5 | 33 | |
| 6 | 12 | |
| 7 | 16 | |
| 8 | 12 | |
| 9 | 40 | |
| 10 | 15 | |
| 11 | 16 | |
| 12 | 1 | |
| 13 | 13 | |
| 14 | 11 | |
| 15 | 58 | |
| 16 | 29 | |
| 17 | 27 | |
| 18 | 14 | |
| 19 | Effect of trilinolein on superoxide dismutase activity in isolated rat cardiomyocytes subjected to hypoxia and normoxic perfusion | 1 |
| 20 | 2 |
About Juei‐Tang Cheng
Juei‐Tang Cheng is a scholar working on Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism and Endocrine and Autonomic Systems, having authored 395 papers that have together received 10.3k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (59 papers), Neuropeptides and Animal Physiology (57 papers) and Metabolism, Diabetes, and Cancer (44 papers). The work is most often cited by research in Complementary and alternative medicine (1.3k citations), Pharmacology (1.0k citations) and Biochemistry (646 citations). Juei‐Tang Cheng has collaborated with scholars based in Taiwan, Japan and United States. Frequent co-authors include I-Min Liu, Feng‐Lin Hsu, Kai‐Chun Cheng, Paul Chan, Yingxiao Li, Hung‐Tsung Wu, Yat-Ching Tong, Wang-Chuan Chen, Li‐Jen Chen and Ho‐Shan Niu. Their work appears in journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and PLoS ONE.
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.