Chia-Hung Yang

3.5k total citations · 1 hit paper
7 papers, 2.0k citations indexed

About

Chia-Hung Yang is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Chia-Hung Yang has authored 7 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Genetics. Recurrent topics in Chia-Hung Yang's work include Evolution and Genetic Dynamics (2 papers), Gene Regulatory Network Analysis (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). Chia-Hung Yang is often cited by papers focused on Evolution and Genetic Dynamics (2 papers), Gene Regulatory Network Analysis (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). Chia-Hung Yang collaborates with scholars based in United States, Taiwan and Italy. Chia-Hung Yang's co-authors include Brennan Klein, Samuel V. Scarpino, Huaiyu Tian, Christopher Dye, Nuno R. Faria, Chieh‐Hsi Wu, Maylis Layan, Louis du Plessis, Bernardo Gutiérrez and David M. Pigott and has published in prestigious journals such as Science, Scientific Reports and BMC Cancer.

In The Last Decade

Chia-Hung Yang

5 papers receiving 1.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The effect of human mobility and control measures on the COVID-19 epidemic in China

2020 1.9k citations Moritz U. G. Kraemer, Chia-Hung Yang et al. Science profile →

Peers

Chia-Hung Yang

MS

EE

EPIDE

TRANS

GPC

Maylis Layan France

Brennan Klein United States

Ruoran Li China

Kunpeng Mu China

Xinyue Xiong China

Corrado Gioannini Italy

Nick Ruktanonchai United States

Jessica Floyd United Kingdom

Giulia Pullano France

Toby Phillips United Kingdom

Maylis Layan France

Chia-Hung Yang

1.4k ×1.0

MS

664 ×1.0

EE

402 ×1.1

EPIDE

343 ×1.0

TRANS

317 ×1.0

GPC

Citations per year, relative to Chia-Hung Yang Chia-Hung Yang (= 1×) peers Maylis Layan

Countries citing papers authored by Chia-Hung Yang

Since Specialization

Citations

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

Fields of papers citing papers by Chia-Hung Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia-Hung Yang. 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 Chia-Hung Yang. The network helps show where Chia-Hung Yang may publish in the future.

Co-authorship network of co-authors of Chia-Hung Yang

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Lee, Yi‐Hsuan, Chia-Hung Yang, Ching‐Hung Lin, et al.. (2024). A novel computer-assisted tool for 3D imaging of programmed death-ligand 1 expression in immunofluorescence-stained and optically cleared breast cancer specimens. BMC Cancer. 24(1). 121–121.

2.

Yang, Chia-Hung, et al.. (2024). Optimizing immunofluorescence with high-dynamic-range imaging to enhance PD-L1 expression evaluation for 3D pathology assessment from NSCLC tumor tissue. Scientific Reports. 14(1). 15176–15176.

3.

Yang, Chia-Hung & Samuel V. Scarpino. (2023). The ensemble of gene regulatory networks at mutation–selection balance. Journal of The Royal Society Interface. 20(198). 20220075–20220075. 1 indexed citations

4.

Yang, Chia-Hung & Samuel V. Scarpino. (2022). A Family of Fitness Landscapes Modeled through Gene Regulatory Networks. Entropy. 24(5). 622–622. 2 indexed citations

5.

Haque, Syed Arefinul, et al.. (2021). netrd: A library for network reconstruction and graph distances. The Journal of Open Source Software. 6(62). 2990–2990. 13 indexed citations

6.

Kraemer, Moritz U. G., Chia-Hung Yang, Bernardo Gutiérrez, et al.. (2020). The effect of human mobility and control measures on the COVID-19 epidemic in China. Science. 368(6490). 493–497. 1934 indexed citations breakdown →

7.

Yeh, Jih‐Kai, Wei‐Hsiu Liu, Chao‐Yung Wang, et al.. (2019). Targeted Next Generation Sequencing for Genetic Mutations of Dilated Cardiomyopathy.. PubMed. 35(6). 571–584. 7 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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