Bon‐chu Chung
- Genetics top 0.2%
- Molecular Biology top 2%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Physiology top 0.1%
- Reproductive Medicine top 1%
- Co-authors
- Meng‐Chun HuKarla J. MattesonSok‐Keng TongWalter L. MillerJohn H. PostlethwaitHwei‐Jan HsuRaimo VoutilainenW L Miller
- Topics
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (55 papers)Estrogen and related hormone effects (44 papers)Hormonal Regulation and Hypertension (38 papers)
- Partner nations
- TaiwanUnited StatesFrance
In The Last Decade
Bon‐chu Chung
134 papers receiving 6.6k citations
Peers
Comparison fields: 5 of 116
- Genetics 3.2k
- Molecular Biology 3.2k
- Endocrinology, Diabetes and Metabolism 1.9k
- Physiology 1.3k
- Reproductive Medicine 665
Countries citing papers authored by Bon‐chu Chung
This map shows the geographic impact of Bon‐chu Chung'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 Bon‐chu Chung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bon‐chu Chung more than expected).
Fields of papers citing papers by Bon‐chu Chung
This network shows the impact of papers produced by Bon‐chu Chung. 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 Bon‐chu Chung. The network helps show where Bon‐chu Chung may publish in the future.
Co-authorship network of co-authors of Bon‐chu Chung
This figure shows the co-authorship network connecting the top 25 collaborators of Bon‐chu Chung. A scholar is included among the top collaborators of Bon‐chu Chung 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 Bon‐chu Chung. Bon‐chu Chung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 7 | |
| 4 | 23 | |
| 5 | 45 | |
| 6 | 87 | |
| 7 | 110 | |
| 8 | 48 | |
| 9 | 29 | |
| 10 | Molecular identification of combined homozygous and compound heterozygous mutations in the CYP21 gene in simple virilizing congenital adrenal hyperplasia in Taiwan. | 1 |
| 11 | 58 | |
| 12 | 189 | |
| 13 | 39 | |
| 14 | 269 | |
| 15 | 4 | |
| 16 | 78 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | 49 | |
| 20 | 44 |
About Bon‐chu Chung
Bon‐chu Chung is a scholar working on Physiology, Genetics and Endocrinology, Diabetes and Metabolism, having authored 138 papers that have together received 6.7k indexed citations. Recurring topics across this work include Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (55 papers), Estrogen and related hormone effects (44 papers) and Hormonal Regulation and Hypertension (38 papers). The work is most often cited by research in Physiology (1.3k citations), Endocrinology, Diabetes and Metabolism (1.9k citations) and Genetics (3.2k citations). Bon‐chu Chung has collaborated with scholars based in Taiwan, United States and France. Frequent co-authors include Meng‐Chun Hu, Karla J. Matteson, Sok‐Keng Tong, Walter L. Miller, John H. Postlethwait, Hwei‐Jan Hsu, Raimo Voutilainen, W L Miller, Evelyn Chiang and J Picado-Leonard. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.