Sheue-yann Cheng
-
- Thyroid Disorders and Treatments 82
- Growth Hormone and Insulin-like Growth Factors 52
- Thyroid Cancer Diagnosis and Treatment 42
- Genetics top 1%
- Estrogen and related hormone effects 41
- Molecular Biology top 2%
- Retinoids in leukemia and cellular processes 28
- Ubiquitin and proteasome pathways 8
- Cancer Research top 2%
- Cancer, Hypoxia, and Metabolism 21
- Oncology top 2%
- Cancer-related Molecular Pathways 25
- Co-authors
- Mark C. WillinghamJack L. LeonardPaul J. DavisXuguang ZhuLi ZhaoHao YingHideyo SuzukiKwang‐Huei Lin
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (12 papers)Nucleic Acids Research (3 papers)
- Partner nations
- United StatesUnited KingdomSouth Korea
In The Last Decade
Sheue-yann Cheng
206 papers receiving 8.0k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Endocrinology, Diabetes and Metabolism 4.3k
- Genetics 1.7k
- Molecular Biology 3.9k
- Cancer Research 806
- Oncology 1.3k
Countries citing papers authored by Sheue-yann Cheng
This map shows the geographic impact of Sheue-yann 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 Sheue-yann Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheue-yann Cheng more than expected).
Fields of papers citing papers by Sheue-yann Cheng
This network shows the impact of papers produced by Sheue-yann 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 Sheue-yann Cheng. The network helps show where Sheue-yann Cheng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sheue-yann Cheng, 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 | 2024 | 3 | |
| 2 | 2023 | 6 | |
| 3 | 2022 | 12 | |
| 4 | 2022 | 9 | |
| 5 | 2022 | 3 | |
| 6 | 2021 | 3 | |
| 7 | 2020 | 24 | |
| 8 | 2020 | 14 | |
| 9 | 2020 | 5 | |
| 10 | 2019 | 35 | |
| 11 | 2019 | 1 | |
| 12 | 2019 | 22 | |
| 13 | 2018 | 108 | |
| 14 | 2018 | 20 | |
| 15 | 2017 | 24 | |
| 16 | 2016 | 44 | |
| 17 | 2014 | 32 | |
| 18 | 1999 | 50 | |
| 19 | 1999 | 5 | |
| 20 | 1993 | 74 |
About Sheue-yann Cheng
Sheue-yann Cheng is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Cancer Research, having authored 207 papers that have together received 8.2k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (82 papers), Growth Hormone and Insulin-like Growth Factors (52 papers), Thyroid Cancer Diagnosis and Treatment (42 papers), Estrogen and related hormone effects (41 papers), Retinoids in leukemia and cellular processes (28 papers), Cancer-related Molecular Pathways (25 papers), Cancer, Hypoxia, and Metabolism (21 papers) and Ubiquitin and proteasome pathways (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (4.3k citations), Genetics (1.7k citations) and Molecular Biology (3.9k citations). Sheue-yann Cheng has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Mark C. Willingham, Jack L. Leonard, Paul J. Davis, Xuguang Zhu, Li Zhao, Hao Ying, Hideyo Suzuki, Kwang‐Huei Lin, Ira Pastan and Fumihiko Furuya. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.