Chin‐Hsiao Tseng
- Molecular Biology top 2%
- Endocrinology, Diabetes and Metabolism top 0.2%
- Environmental Chemistry top 0.1%
- Health, Toxicology and Mutagenesis top 0.2%
- Oncology top 2%
- Co-authors
- Ching‐Ping TsengHung‐Yi ChiouYu‐Mei HsuehChoon‐Khim ChongChien‐Jen ChenChom‐Kyu ChongTong‐Yuan TaiShou‐Hsia Cheng
- Topics
- Metabolism, Diabetes, and Cancer (97 papers)Diabetes Treatment and Management (61 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (29 papers)
- Cited by
- Environmental ChemistryEndocrinology, Diabetes and MetabolismHealth, Toxicology and Mutagenesis
- Partner nations
- TaiwanUnited StatesSouth Sudan
In The Last Decade
Chin‐Hsiao Tseng
238 papers receiving 9.3k citations
Peers
Comparison fields: 5 of 176
- Molecular Biology 3.5k
- Endocrinology, Diabetes and Metabolism 2.6k
- Environmental Chemistry 2.4k
- Health, Toxicology and Mutagenesis 2.1k
- Oncology 1.3k
Countries citing papers authored by Chin‐Hsiao Tseng
This map shows the geographic impact of Chin‐Hsiao Tseng'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 Chin‐Hsiao Tseng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chin‐Hsiao Tseng more than expected).
Fields of papers citing papers by Chin‐Hsiao Tseng
This network shows the impact of papers produced by Chin‐Hsiao Tseng. 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 Chin‐Hsiao Tseng. The network helps show where Chin‐Hsiao Tseng may publish in the future.
Co-authorship network of co-authors of Chin‐Hsiao Tseng
This figure shows the co-authorship network connecting the top 25 collaborators of Chin‐Hsiao Tseng. A scholar is included among the top collaborators of Chin‐Hsiao Tseng 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 Chin‐Hsiao Tseng. Chin‐Hsiao Tseng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 10 | |
| 3 | 34 | |
| 4 | 7 | |
| 5 | Does medication adherence lead to lower healthcare expenses for patients with diabetes? | 21 |
| 6 | 11 | |
| 7 | Diabete and cancer: epidemiological, clinical and experimental perspectives (editorial) | 1 |
| 8 | 31 | |
| 9 | 155 | |
| 10 | 13 | |
| 11 | 16 | |
| 12 | 45 | |
| 13 | 129 | |
| 14 | 32 | |
| 15 | 101 | |
| 16 | 83 | |
| 17 | 11 | |
| 18 | 189 | |
| 19 | 111 | |
| 20 | 9 |
About Chin‐Hsiao Tseng
Chin‐Hsiao Tseng is a scholar working on Endocrinology, Diabetes and Metabolism, Environmental Chemistry and Cancer Research, having authored 241 papers that have together received 9.6k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (97 papers), Diabetes Treatment and Management (61 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (29 papers). The work is most often cited by research in Environmental Chemistry (2.4k citations), Endocrinology, Diabetes and Metabolism (2.6k citations) and Health, Toxicology and Mutagenesis (2.1k citations). Chin‐Hsiao Tseng has collaborated with scholars based in Taiwan, United States and South Sudan. Frequent co-authors include Ching‐Ping Tseng, Hung‐Yi Chiou, Yu‐Mei Hsueh, Choon‐Khim Chong, Chien‐Jen Chen, Chien‐Jen Chen, Chom‐Kyu Chong, Tong‐Yuan Tai, Shou‐Hsia Cheng and Shyang‐Rong Shih. Their work appears in journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.
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.