Hsiang-Yu Tang
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
-
- Diet and metabolism studies
Papers in
-
- Metabolomics and Mass Spectrometry Studies 9
- Physiology 13
- Diet and metabolism studies 5
- Adipose Tissue and Metabolism 4
- Nutrition and Health in Aging 4
- Co-authors
- Mei‐Ling Cheng (35 shared papers)Cheng-Yu Huang (10 shared papers)Hung‐Yao Ho (12 shared papers)Chiung‐Mei Chen (6 shared papers)Kuo‐Hsuan Chang (5 shared papers)Yih‐Ru Wu (2 shared papers)Daniel T. Chiu (4 shared papers)Pei‐Ru Wu (2 shared papers)
- Journals
- Cell Reports (2 papers)Molecules (2 papers)Cells (2 papers)Antioxidants (2 papers)International Journal of Molecular Sciences (2 papers)
- Partner nations
- TaiwanUnited StatesSwitzerland
In The Last Decade
Hsiang-Yu Tang
32 papers receiving 667 citations
Peers
Comparison fields: 5 of 86
- Biological Psychiatry 68
- Physiology 183
- Neurology 91
- Behavioral Neuroscience 17
- Molecular Biology 320
Countries citing papers authored by Hsiang-Yu Tang
This map shows the geographic impact of Hsiang-Yu Tang'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 Hsiang-Yu Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsiang-Yu Tang more than expected).
Fields of papers citing papers by Hsiang-Yu Tang
This network shows the impact of papers produced by Hsiang-Yu Tang. 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 Hsiang-Yu Tang. The network helps show where Hsiang-Yu Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Hsiang-Yu Tang, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 112 | |
| 2 | 2015 | 58 | |
| 3 | 2020 | 51 | |
| 4 | 2017 | 51 | |
| 5 | 2023 | 40 | |
| 6 | 2014 | 37 | |
| 7 | 2015 | 28 | |
| 8 | 2022 | 27 | |
| 9 | 2019 | 27 | |
| 10 | 2011 | 26 | |
| 11 | 2018 | 22 | |
| 12 | 2020 | 20 | |
| 13 | 2021 | 16 | |
| 14 | 2014 | 15 | |
| 15 | 2021 | 14 | |
| 16 | 2018 | 13 | |
| 17 | 2018 | 13 | |
| 18 | 2017 | 11 | |
| 19 | 2020 | 11 | |
| 20 | 2021 | 10 |
About Hsiang-Yu Tang
Hsiang-Yu Tang is a scholar working on Molecular Biology, Physiology, Cell Biology, Epidemiology and Biochemistry, having authored 37 papers that have together received 671 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (9 papers), Diet and metabolism studies (5 papers), Muscle metabolism and nutrition (4 papers), Adipose Tissue and Metabolism (4 papers), Nutrition and Health in Aging (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Lipid metabolism and biosynthesis (3 papers) and Tryptophan and brain disorders (3 papers). The work is most often cited by research in Biological Psychiatry (68 citations), Physiology (183 citations), Neurology (91 citations), Behavioral Neuroscience (17 citations) and Molecular Biology (320 citations). Hsiang-Yu Tang has collaborated with scholars based in Taiwan, United States and Switzerland. Frequent co-authors include Mei‐Ling Cheng, Cheng-Yu Huang, Hung‐Yao Ho, Chiung‐Mei Chen, Kuo‐Hsuan Chang, Yih‐Ru Wu, Daniel T. Chiu, Pei‐Ru Wu, Chao‐Hung Wang and Ming‐Shi Shiao. Their work appears in journals such as Cell Reports, Molecules, Cells, Antioxidants and International Journal of Molecular Sciences.
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.