Hsiu-Chi Ting
Impact in
-
- Echinoderm biology and ecology
-
- Lipid metabolism and biosynthesis
Papers in
-
- Mitochondrial Function and Pathology 4
- Developmental Biology and Gene Regulation 4
- Metabolomics and Mass Spectrometry Studies 2
- Machine Learning in Bioinformatics 1
-
- Marine Ecology and Invasive Species 4
- Co-authors
- Yuan‐Hao Hsu (5 shared papers)Yi‐Hsien Su (5 shared papers)Jr‐Kai Yu (5 shared papers)Yi‐Chih Chen (3 shared papers)Ching‐Yi Lin (2 shared papers)Che‐Huang Tung (2 shared papers)Nori Satoh (1 shared paper)Kunifumi Tagawa (1 shared paper)
- Journals
- Lipids in Health and Disease (2 papers)Proceedings of the National Academy of Sciences (2 papers)BMC Evolutionary Biology (2 papers)The Journal of Nutritional Biochemistry (1 paper)Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics (1 paper)
- Partner nations
- TaiwanUnited StatesRussia
In The Last Decade
Hsiu-Chi Ting
13 papers receiving 201 citations
Peers
Comparison fields: 5 of 56
- Aquatic Science 25
- Biochemistry 18
- Aging 4
- Molecular Biology 146
- Global and Planetary Change 40
Countries citing papers authored by Hsiu-Chi Ting
This map shows the geographic impact of Hsiu-Chi Ting'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 Hsiu-Chi Ting with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsiu-Chi Ting more than expected).
Fields of papers citing papers by Hsiu-Chi Ting
This network shows the impact of papers produced by Hsiu-Chi Ting. 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 Hsiu-Chi Ting. The network helps show where Hsiu-Chi Ting may publish in the future.
Co-authors
The 25 scholars most cited alongside Hsiu-Chi Ting, 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 | 2013 | 37 | |
| 2 | 2019 | 23 | |
| 3 | 2015 | 23 | |
| 4 | 2019 | 22 | |
| 5 | 2021 | 18 | |
| 6 | 2018 | 16 | |
| 7 | 2014 | 14 | |
| 8 | 2018 | 13 | |
| 9 | 2015 | 12 | |
| 10 | 2018 | 11 | |
| 11 | 2014 | 8 | |
| 12 | 2015 | 4 | |
| 13 | How organisms lacking oxidizable lipids utilize lipid peroxidation for signaling: lipidomics approach | 2019 | 1 |
About Hsiu-Chi Ting
Hsiu-Chi Ting is a scholar working on Molecular Biology, Global and Planetary Change, Aquatic Science, Nutrition and Dietetics and Biochemistry, having authored 13 papers that have together received 202 indexed citations. Recurring topics across this work include Marine Ecology and Invasive Species (4 papers), Mitochondrial Function and Pathology (4 papers), Developmental Biology and Gene Regulation (4 papers), Echinoderm biology and ecology (3 papers), Fatty Acid Research and Health (3 papers), Lipid metabolism and biosynthesis (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Aquatic Science (25 citations), Biochemistry (18 citations), Aging (4 citations), Molecular Biology (146 citations) and Global and Planetary Change (40 citations). Hsiu-Chi Ting has collaborated with scholars based in Taiwan, United States and Russia. Frequent co-authors include Yuan‐Hao Hsu, Yi‐Hsien Su, Jr‐Kai Yu, Yi‐Chih Chen, Ching‐Yi Lin, Che‐Huang Tung, Nori Satoh, Kunifumi Tagawa, Maria Ina Arnone and Tom Humphreys. Their work appears in journals such as Lipids in Health and Disease, Proceedings of the National Academy of Sciences, BMC Evolutionary Biology, The Journal of Nutritional Biochemistry and Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics.
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.