Chieh‐Hsi Wu

24.7k total citations · 2 hit papers
48 papers, 8.1k citations indexed

About

Chieh‐Hsi Wu is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Chieh‐Hsi Wu has authored 48 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 10 papers in Genetics and 7 papers in Infectious Diseases. Recurrent topics in Chieh‐Hsi Wu's work include Genomics and Phylogenetic Studies (8 papers), COVID-19 epidemiological studies (6 papers) and Genetic diversity and population structure (6 papers). Chieh‐Hsi Wu is often cited by papers focused on Genomics and Phylogenetic Studies (8 papers), COVID-19 epidemiological studies (6 papers) and Genetic diversity and population structure (6 papers). Chieh‐Hsi Wu collaborates with scholars based in United Kingdom, Taiwan and United States. Chieh‐Hsi Wu's co-authors include Alexei J. Drummond, Denise Kühnert, Marc A. Suchard, Remco Bouckaert, Dong Xie, Joseph Heled, Andrew Rambaut, Huaiyu Tian, John S. Brownstein and Oliver G. Pybus and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and The Journal of Comparative Neurology.

In The Last Decade

Chieh‐Hsi Wu

45 papers receiving 8.0k 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.

BEAST 2: A Software Platform for Bayesian Evolutionary Analysis

2014 4.9k citations Remco Bouckaert, Joseph Heled et al. PLoS Computational Biology profile →
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 — A (Enhanced Table)

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

Name	h						Papers	Cites
Chieh‐Hsi Wu United Kingdom	18	2.2k	2.0k	1.7k	1.4k	1.3k	48	8.1k
Jeffrey P. Townsend United States	47	2.1k 1.0×	4.0k 2.0×	1.3k 0.8×	550 0.4×	1.2k 0.9×	198	9.4k
Joshua B. Plotkin United States	54	3.4k 1.5×	5.3k 2.6×	1.2k 0.7×	520 0.4×	1.2k 1.0×	146	11.7k
Tom Britton Sweden	28	1.3k 0.6×	1.4k 0.7×	689 0.4×	2.0k 1.4×	447 0.4×	112	7.5k
Troy Day Canada	59	5.5k 2.5×	982 0.5×	3.4k 2.0×	1.0k 0.7×	2.2k 1.7×	153	11.1k
Kate E. Jones United Kingdom	52	2.5k 1.1×	1.4k 0.7×	3.9k 2.4×	964 0.7×	6.0k 4.7×	146	18.5k
Jean‐François Guégan France	46	1.6k 0.7×	552 0.3×	1.8k 1.1×	386 0.3×	3.9k 3.1×	196	10.9k
Frédéric Thomas France	53	2.3k 1.0×	1.4k 0.7×	1.3k 0.8×	271 0.2×	3.5k 2.7×	327	10.7k
Guy Baele Belgium	36	4.2k 1.9×	4.3k 2.1×	3.5k 2.1×	520 0.4×	2.7k 2.1×	167	15.8k
Joshua S. Weitz United States	54	1.9k 0.9×	2.2k 1.1×	620 0.4×	859 0.6×	4.2k 3.3×	170	9.0k
Mercedes Pascual United States	52	2.1k 0.9×	739 0.4×	1.6k 1.0×	1.8k 1.3×	3.0k 2.4×	160	12.9k

Countries citing papers authored by Chieh‐Hsi Wu

Since Specialization

Citations

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

Fields of papers citing papers by Chieh‐Hsi Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chieh‐Hsi Wu. 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 Chieh‐Hsi Wu. The network helps show where Chieh‐Hsi Wu may publish in the future.

Co-authorship network of co-authors of Chieh‐Hsi Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Chieh‐Hsi Wu. A scholar is included among the top collaborators of Chieh‐Hsi Wu 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 Chieh‐Hsi Wu. Chieh‐Hsi Wu 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:

20 of 20 papers shown

Bandyopadhyay, Soham, Ben Gaastra, Ardalan Zolnourian, et al.. (2025). Distinct Cytokine Responses in Central and Systemic Compartments after Subarachnoid Haemorrhage. Translational Stroke Research. 16(5). 1766–1782.

Yeh, Tu‐Hsueh, et al.. (2024). Supplementation with Bifidobacterium animalis subsp. lactis MH-022 for remission of motor impairments in a 6-OHDA-induced Parkinson's disease rat model by reducing inflammation, reshaping the gut microbiome, and fostering specific microbial taxa. Food & Function. 15(18). 9368–9389. 9 indexed citations

Prete, Carlos A., Alexander E. Zarebski, Andreza Aruska de Souza Santos, et al.. (2024). The Brazilian COVID-19 vaccination campaign: a modelling analysis of sociodemographic factors on uptake. BMJ Open. 14(1). e076354–e076354. 7 indexed citations

Zolnourian, Ardalan, Anand Pandit, Ahmed K. Toma, et al.. (2024). Quantification of blood and CSF volume to predict outcome after aneurysmal subarachnoid hemorrhage. Neurosurgical Review. 47(1). 752–752. 2 indexed citations

Wang, Lin, Bingying Li, Youngjoon Hong, et al.. (2023). Marginal effects of public health measures and COVID-19 disease burden in China: A large-scale modelling study. PLoS Computational Biology. 19(9). e1011492–e1011492.

Liao, Kai‐Wei, Wen‐Liang Lo, Wan‐Chun Chiu, et al.. (2022). Predictive Model for Oral Status in Elderly People in a Taiwanese Nursing Home Using a High-Protein Black Soybean Koji Food. Frontiers in Nutrition. 9. 814315–814315. 1 indexed citations

Parag, Kris V., Oliver G. Pybus, & Chieh‐Hsi Wu. (2021). Are Skyline Plot-Based Demographic Estimates Overly Dependent on Smoothing Prior Assumptions?. Systematic Biology. 71(1). 121–138. 7 indexed citations

Santos, Andreza Aruska de Souza, Darlan da Silva Cândido, William Marciel de Souza, et al.. (2021). Dataset on SARS-CoV-2 non-pharmaceutical interventions in Brazilian municipalities. Scientific Data. 8(1). 73–73. 25 indexed citations

O’Cathail, Séan M., Chieh‐Hsi Wu, Annabelle Lewis, et al.. (2020). NRF2 metagene signature is a novel prognostic biomarker in colorectal cancer. Cancer Genetics. 248-249. 1–10. 13 indexed citations

10.

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 →

11.

Raghwani, Jayna, Andrew D. Redd, Chieh‐Hsi Wu, et al.. (2018). Evolution of HIV-1 within untreated individuals and at the population scale in Uganda. PLoS Pathogens. 14(7). e1007167–e1007167. 17 indexed citations

12.

Maio, Nicola De, Chieh‐Hsi Wu, & Daniel J. Wilson. (2016). SCOTTI: Efficient Reconstruction of Transmission within Outbreaks with the Structured Coalescent. PLoS Computational Biology. 12(9). e1005130–e1005130. 79 indexed citations

13.

Maio, Nicola De, Chieh‐Hsi Wu, Kathleen O’Reilly, & Daniel J. Wilson. (2015). New Routes to Phylogeography: A Bayesian Structured Coalescent Approximation. PLoS Genetics. 11(8). e1005421–e1005421. 165 indexed citations

14.

Bouckaert, Remco, Joseph Heled, Denise Kühnert, et al.. (2014). BEAST 2: A Software Platform for Bayesian Evolutionary Analysis. PLoS Computational Biology. 10(4). e1003537–e1003537. 4936 indexed citations breakdown →

15.

Sheu, Ming‐Jyh, et al.. (2013). Antihyperlipidemic and Antioxidant Effects of C-phycocyanin in Golden Syrian Hamsters Fed with a Hypercholesterolemic Diet. Journal of Traditional and Complementary Medicine. 3(1). 41–47. 27 indexed citations

16.

Wu, Chieh‐Hsi, Marc A. Suchard, & Alexei J. Drummond. (2012). Bayesian Selection of Nucleotide Substitution Models and Their Site Assignments. Molecular Biology and Evolution. 30(3). 669–688. 36 indexed citations

17.

Huang, Guan‐Jhong, Hsien‐Jung Chen, Susumu Kitanaka, et al.. (2011). Sweet Potato Storage Root Thioredoxin h2 and Their Peptic Hydrolysates Exhibited Angiotensin Converting Enzyme Inhibitory Activity in vitro. Botanical studies. 52(1). 15–22. 5 indexed citations

18.

Kühnert, Denise, Chieh‐Hsi Wu, & Alexei J. Drummond. (2011). Phylogenetic and epidemic modeling of rapidly evolving infectious diseases. Infection Genetics and Evolution. 11(8). 1825–1841. 58 indexed citations

19.

Wu, Chieh‐Hsi, Adrienne Frostholm, Angel L. De Blas, & Andrej Rotter. (1995). Differential Expression of GABA_A/Benzodiazepine Receptor Subunit mRNAs and Ligand Binding Sites in Mouse Cerebellar Neurons Following In Vivo Ethanol Administration: An Autoradiographic Analysis. Journal of Neurochemistry. 65(3). 1229–1239. 31 indexed citations

20.

Varečka, Ĺudovı́t, Chieh‐Hsi Wu, Andrej Rotter, & Adrienne Frostholm. (1994). GABA_A/benzodiazepine receptor α₆ subunit mRNA in granule cells of the cerebellar cortex and cochlear nuclei: Expression in developing and mutant mice. The Journal of Comparative Neurology. 339(3). 341–352. 85 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.

Explore authors with similar magnitude of impact