Hsiao Yun Chan

1.0k total citations
9 papers, 800 citations indexed

About

Hsiao Yun Chan is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Hsiao Yun Chan has authored 9 papers receiving a total of 800 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Oncology. Recurrent topics in Hsiao Yun Chan's work include Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers), Animal Genetics and Reproduction (3 papers) and Viral Infections and Immunology Research (1 paper). Hsiao Yun Chan is often cited by papers focused on Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers), Animal Genetics and Reproduction (3 papers) and Viral Infections and Immunology Research (1 paper). Hsiao Yun Chan collaborates with scholars based in Singapore, United States and France. Hsiao Yun Chan's co-authors include Thomas Lufkin, Yupo Ma, Guo Qing Tong, Qiang Wu, Jinqiu Zhang, Jianchang Yang, Yuefei Lou, Paul Robson, Li Chai and Wai Leong Tam and has published in prestigious journals such as PLoS ONE, Nature Cell Biology and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Hsiao Yun Chan

8 papers receiving 786 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hsiao Yun Chan Singapore 7 685 98 87 76 67 9 800
Srinath C. Sampath United States 11 1.0k 1.5× 99 1.0× 73 0.8× 76 1.0× 101 1.5× 14 1.3k
Dawn M. Bryce Canada 11 601 0.9× 119 1.2× 75 0.9× 101 1.3× 71 1.1× 15 792
Adi D. Dubash United States 17 759 1.1× 134 1.4× 65 0.7× 76 1.0× 38 0.6× 22 1.2k
Frank X. Donovan United States 15 621 0.9× 63 0.6× 194 2.2× 88 1.2× 54 0.8× 26 784
Jiang Fu United States 14 622 0.9× 81 0.8× 203 2.3× 47 0.6× 72 1.1× 21 824
Rocio Enriquez-Gasca United Kingdom 7 478 0.7× 49 0.5× 43 0.5× 62 0.8× 34 0.5× 7 627
Joseph A. Wamstad United States 10 1.1k 1.6× 79 0.8× 223 2.6× 132 1.7× 109 1.6× 10 1.3k
José Luis Montiel-Hernández Mexico 16 547 0.8× 193 2.0× 65 0.7× 90 1.2× 32 0.5× 33 857
Vı́tězslav Křı́ž Czechia 16 545 0.8× 127 1.3× 103 1.2× 58 0.8× 118 1.8× 26 755
Irena Koutná Czechia 17 550 0.8× 83 0.8× 120 1.4× 52 0.7× 54 0.8× 52 699

Countries citing papers authored by Hsiao Yun Chan

Since Specialization
Citations

This map shows the geographic impact of Hsiao Yun Chan'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 Hsiao Yun Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsiao Yun Chan more than expected).

Fields of papers citing papers by Hsiao Yun Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsiao Yun Chan. 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 Hsiao Yun Chan. The network helps show where Hsiao Yun Chan may publish in the future.

Co-authorship network of co-authors of Hsiao Yun Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Hsiao Yun Chan. A scholar is included among the top collaborators of Hsiao Yun Chan 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 Hsiao Yun Chan. Hsiao Yun Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Kirby, Anna M., Clare Griffin, Laura Finneran, et al.. (2023). Partial Breast Radiotherapy for Women with Early Breast Cancer: 10-Year Outcomes from IMPORT LOW (CRUK/06/003). International Journal of Radiation Oncology*Biology*Physics. 117(4). e7–e7.
2.
Chatterjee, Sumantra, Siew Lan Lim, Petra Kraus, et al.. (2017). An Integrative Developmental Genomics and Systems Biology Approach to Identify an In Vivo Sox Trio-Mediated Gene Regulatory Network in Murine Embryos. BioMed Research International. 2017. 1–16. 12 indexed citations
3.
Chan, Hsiao Yun & Lawrence W. Stanton. (2016). A pharmacogenomic profile of human neural progenitors undergoing differentiation in the presence of the traditional Chinese medicine NeuroAiD. The Pharmacogenomics Journal. 16(5). 461–471. 10 indexed citations
4.
Chatterjee, Sumantra, et al.. (2012). Making no bones about it: Transcription factors in vertebrate skeletogenesis and disease.. PubMed. 6. 45–52. 4 indexed citations
5.
Chan, Hsiao Yun, et al.. (2011). Comparison of IRES and F2A-Based Locus-Specific Multicistronic Expression in Stable Mouse Lines. PLoS ONE. 6(12). e28885–e28885. 71 indexed citations
6.
Kraus, Petra, et al.. (2011). Generation of mice with a novel conditional null allele of the Sox9 gene. Biotechnology Letters. 33(8). 1551–1558. 14 indexed citations
7.
Sivakamasundari, V., et al.. (2011). New Bapx1Cre‐EGFP mouse lines for lineage tracing and conditional knockout studies. genesis. 50(4). 375–383. 9 indexed citations
8.
Lin, Hai‐Shu, Ching Yuan Hu, Hsiao Yun Chan, et al.. (2007). Anti‐rheumatic activities of histone deacetylase (HDAC) inhibitors in vivo in collagen‐induced arthritis in rodents. British Journal of Pharmacology. 150(7). 862–872. 225 indexed citations
9.
Zhang, Jinqiu, Wai Leong Tam, Guo Qing Tong, et al.. (2006). Sall4 modulates embryonic stem cell pluripotency and early embryonic development by the transcriptional regulation of Pou5f1. Nature Cell Biology. 8(10). 1114–1123. 455 indexed citations

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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