Yu‐Ting Chiang
Impact in
- Molecular Medicine top 5%
- Curcumin's Biomedical Applications
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- Diabetes Treatment and Management
- Natural Antidiabetic Agents Studies
Papers in
-
- Metabolism, Diabetes, and Cancer 3
- RNA Research and Splicing 3
- Surgery 8
- Pancreatic function and diabetes 4
- Co-authors
- Tianru Jin (6 shared papers)Weijuan Shao (4 shared papers)Tuanyao Chai (2 shared papers)Huogen Lu (1 shared paper)Yi Yang (1 shared paper)Zhiwen Yu (1 shared paper)Warren D. Foltz (1 shared paper)I. George Fantus (1 shared paper)
- Journals
- PLoS ONE (4 papers)Journal of Cardiothoracic and Vascular Anesthesia (3 papers)Biomedicines (2 papers)Plants (2 papers)International Journal of Molecular Sciences (2 papers)
- Partner nations
- TaiwanUnited StatesCanada
In The Last Decade
Yu‐Ting Chiang
32 papers receiving 741 citations
Peers
Comparison fields: 5 of 87
- Molecular Medicine 107
- Endocrinology, Diabetes and Metabolism 139
- Sensory Systems 37
- Biochemistry 30
- Surgery 195
Countries citing papers authored by Yu‐Ting Chiang
This map shows the geographic impact of Yu‐Ting Chiang'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‐Ting Chiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu‐Ting Chiang more than expected).
Fields of papers citing papers by Yu‐Ting Chiang
This network shows the impact of papers produced by Yu‐Ting Chiang. 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‐Ting Chiang. The network helps show where Yu‐Ting Chiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu‐Ting Chiang, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 264 | |
| 2 | 2012 | 92 | |
| 3 | 2013 | 52 | |
| 4 | 2012 | 40 | |
| 5 | 2015 | 38 | |
| 6 | 2011 | 24 | |
| 7 | 2021 | 23 | |
| 8 | 2014 | 21 | |
| 9 | 2013 | 19 | |
| 10 | 2022 | 19 | |
| 11 | 2022 | 18 | |
| 12 | 2016 | 14 | |
| 13 | 2022 | 13 | |
| 14 | 2013 | 13 | |
| 15 | 2020 | 12 | |
| 16 | 2022 | 10 | |
| 17 | 2023 | 10 | |
| 18 | 2012 | 10 | |
| 19 | 2017 | 10 | |
| 20 | 2023 | 8 |
About Yu‐Ting Chiang
Yu‐Ting Chiang is a scholar working on Molecular Biology, Surgery, Sensory Systems, Epidemiology and Cardiology and Cardiovascular Medicine, having authored 35 papers that have together received 754 indexed citations. Recurring topics across this work include Hearing, Cochlea, Tinnitus, Genetics (6 papers), Pancreatic function and diabetes (4 papers), Metabolism, Diabetes, and Cancer (3 papers), RNA Research and Splicing (3 papers), Hearing Loss and Rehabilitation (3 papers), Diabetes Treatment and Management (3 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Vestibular and auditory disorders (2 papers). The work is most often cited by research in Molecular Medicine (107 citations), Endocrinology, Diabetes and Metabolism (139 citations), Sensory Systems (37 citations), Biochemistry (30 citations) and Surgery (195 citations). Yu‐Ting Chiang has collaborated with scholars based in Taiwan, United States and Canada. Frequent co-authors include Tianru Jin, Weijuan Shao, Tuanyao Chai, Huogen Lu, Yi Yang, Zhiwen Yu, Warren D. Foltz, I. George Fantus, Wilfred Ip and Shinobu Itagaki. Their work appears in journals such as PLoS ONE, Journal of Cardiothoracic and Vascular Anesthesia, Biomedicines, Plants 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.