Bon‐chu Chung

8.3k citations
138 papers · 6.7k indexed · h-index 46

Bon‐chu Chung

134 papers receiving 6.6k citations

Peers

Bon‐chu Chung
Comparison fields: 5 of 116
  • Physiology 1.3k
  • Endocrinology, Diabetes and Metabolism 1.9k
  • Genetics 3.2k
  • Reproductive Medicine 665
  • Pharmacology 547
Replace Ken-ichirou Morohashi with:
Ken-ichirou Morohashi Japan
D. M. Stocco United States
Anita H. Payne United States
Marc Edery France
Pulak R. Manna United States
Manuel Mark France
John M. Trant United States
Yayoi Ikeda Japan
Holly A. Ingraham United States
Michael W. Kilgore United States
Bon‐chu Chung relative to Ken-ichirou Morohashi Japan Ken-ichirou Morohashi's profile →
Citations per field
00.5×2.7×
Ken-ichirou Morohashi · 1×
Citations per year

Countries citing papers authored by Bon‐chu Chung

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Bon‐chu Chung, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bon‐chu Chung Line = papers co-authored together Bon‐chu Chung links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20245
3 20227
4 201823
5 201345
6 200987
7 2008110
8 200748
9 200729
10
Molecular identification of combined homozygous and compound heterozygous mutations in the CYP21 gene in simple virilizing congenital adrenal hyperplasia in Taiwan.
20041
11 200258
12 2001189
13 200139
14 2001269
15 20004
16 199978
17 19992
18 19911
19 198849
20 198544

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), Hormonal Regulation and Hypertension (38 papers), Sexual Differentiation and Disorders (30 papers), Reproductive biology and impacts on aquatic species (23 papers), Pharmacogenetics and Drug Metabolism (21 papers), Hormonal and reproductive studies (16 papers) and Genomics and Chromatin Dynamics (9 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.

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