William Hsiao

10.1k total citations
61 papers, 2.8k citations indexed

About

William Hsiao is a scholar working on Molecular Biology, Epidemiology and Ecology. According to data from OpenAlex, William Hsiao has authored 61 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 16 papers in Epidemiology and 15 papers in Ecology. Recurrent topics in William Hsiao's work include Genomics and Phylogenetic Studies (15 papers), Bacteriophages and microbial interactions (13 papers) and Gut microbiota and health (10 papers). William Hsiao is often cited by papers focused on Genomics and Phylogenetic Studies (15 papers), Bacteriophages and microbial interactions (13 papers) and Gut microbiota and health (10 papers). William Hsiao collaborates with scholars based in Canada, United States and France. William Hsiao's co-authors include Fiona S. L. Brinkman, Morgan G. I. Langille, Steven J.M. Jones, Claire M. Fraser, Natalia Shulzhenko, Andrey Morgun, Polly Matzinger, Damion Dooley, Patrick Tang and Ashraf Fouad and has published in prestigious journals such as Nature Medicine, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

William Hsiao

55 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
William Hsiao Canada	24	1.5k	529	428	404	326	61	2.8k
Claire Bertelli Switzerland	26	1.5k 1.0×	720 1.4×	421 1.0×	404 1.0×	418 1.3×	63	3.1k
Igor Tolstoy United States	10	1.3k 0.9×	580 1.1×	278 0.6×	355 0.9×	178 0.5×	15	2.3k
Kek Heng Chua Malaysia	34	1.1k 0.7×	367 0.7×	531 1.2×	284 0.7×	280 0.9×	214	3.5k
Yujun Cui China	28	1.1k 0.7×	311 0.6×	408 1.0×	308 0.8×	284 0.9×	144	2.8k
Junyan Liu China	31	1.6k 1.1×	325 0.6×	681 1.6×	716 1.8×	317 1.0×	142	3.4k
Shana R. Leopold United States	12	1.2k 0.8×	448 0.8×	624 1.5×	410 1.0×	258 0.8×	15	2.5k
Breck A. Duerkop United States	28	2.0k 1.3×	1.2k 2.2×	758 1.8×	301 0.7×	428 1.3×	46	3.3k
Jon Bohlin Norway	26	925 0.6×	308 0.6×	387 0.9×	233 0.6×	309 0.9×	90	2.2k
Abigail A. Salyers United States	30	1.4k 0.9×	585 1.1×	448 1.0×	454 1.1×	265 0.8×	80	2.7k
Emilia Ghelardi Italy	35	1.5k 1.0×	459 0.9×	585 1.4×	702 1.7×	593 1.8×	117	3.2k

Countries citing papers authored by William Hsiao

Since Specialization

Citations

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

Fields of papers citing papers by William Hsiao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Hsiao

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

All Works

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20 of 20 papers shown

Anwar, Muhammad Zohaib, Emma Griffiths, Damion Dooley, et al.. (2025). VIRUS-MVP: a framework for comprehensive surveillance of viral mutations and their functional impacts. NAR Genomics and Bioinformatics. 7(4). lqaf132–lqaf132.

Shapira, Tirosh, Joseph D. Chao, Danielle L. Sexton, et al.. (2024). The diversity of clinical Mycobacterium abscessus isolates in morphology, glycopeptidolipids and infection rates in a macrophage model. Journal of Medical Microbiology. 73(8). 7 indexed citations

Mirza, Ali, Feng Zhu, Natalie Knox, et al.. (2024). Mediterranean diet and associations with the gut microbiota and pediatric-onset multiple sclerosis using trivariate analysis. SHILAP Revista de lepidopterología. 4(1). 148–148. 7 indexed citations

Dooley, Damion, et al.. (2023). OntoTrek: 3D visualization of application ontology class hierarchies. PLoS ONE. 18(6). e0286728–e0286728. 1 indexed citations

Gill, Erin E., Fiona S. L. Brinkman, Emma Griffiths, et al.. (2023). Canadians’ opinions towards COVID-19 data-sharing: a national cross-sectional survey. BMJ Open. 13(2). e066418–e066418. 2 indexed citations

Hsiao, William, et al.. (2022). Large-scale comparative genomics to refine the organization of the global Salmonella enterica population structure. Microbial Genomics. 8(12). 6 indexed citations

Dooley, Damion, Matthew Lange, Lauren Chan, et al.. (2022). Food process ontology requirements. Semantic Web. 15(4). 1133–1164. 4 indexed citations

Duan, Jun, et al.. (2022). ProbeTools: designing hybridization probes for targeted genomic sequencing of diverse and hypervariable viral taxa. BMC Genomics. 23(1). 579–579. 10 indexed citations

Feijão, Pedro, Daniel Fornika, Jennifer L. Gardy, et al.. (2018). MentaLiST – A fast MLST caller for large MLST schemes. Microbial Genomics. 4(2). 36 indexed citations

10.

Dooley, Damion, et al.. (2017). The Genomic Epidemiology Ontology and GEEM Ontology Reusability Platform.. 1 indexed citations

11.

Dooley, Damion, et al.. (2017). FoodOn: A Semantic Ontology Approach for Mapping Foodborne Disease Metadata.. 1 indexed citations

12.

Petkau, Aaron, Philip Mabon, Natalie Knox, et al.. (2017). SNVPhyl: a single nucleotide variant phylogenomics pipeline for microbial genomic epidemiology. Microbial Genomics. 3(6). e000116–e000116. 108 indexed citations

13.

Miller, Ruth R., Miguel Uyaguari, Vincent Montoya, et al.. (2016). Metagenomic Investigation of Plasma in Individuals with ME/CFS Highlights the Importance of Technical Controls to Elucidate Contamination and Batch Effects. PLoS ONE. 11(11). e0165691–e0165691. 14 indexed citations

14.

Morgun, Andrey, Amiran Dzutsev, Xiaoxi Dong, et al.. (2015). Uncovering effects of antibiotics on the host and microbiota using transkingdom gene networks. Gut. 64(11). 1732–1743. 228 indexed citations

15.

Rossum, Thea Van, Michael A. Peabody, Miguel Uyaguari, et al.. (2015). Year-Long Metagenomic Study of River Microbiomes Across Land Use and Water Quality. Frontiers in Microbiology. 6. 1405–1405. 47 indexed citations

16.

Hsiao, William, et al.. (2012). Microbial transformation from normal oral microbiota to acute endodontic infections. BMC Genomics. 13(1). 345–345. 116 indexed citations

17.

Chu, Hsueh‐Ting, William Hsiao, Ching‐Mao Chang, et al.. (2012). Quantitative assessment of mitochondrial DNA copies from whole genome sequencing. BMC Genomics. 13(S7). S5–S5. 22 indexed citations

18.

Sahl, Jason W., J. Kristie Johnson, Anthony D. Harris, et al.. (2011). Genomic comparison of multi-drug resistant invasive and colonizing Acinetobacter baumannii isolated from diverse human body sites reveals genomic plasticity. BMC Genomics. 12(1). 291–291. 59 indexed citations

19.

Langille, Morgan G. I., William Hsiao, & Fiona S. L. Brinkman. (2008). Evaluation of genomic island predictors using a comparative genomics approach. BMC Bioinformatics. 9(1). 329–329. 213 indexed citations

20.

Hsiao, William, et al.. (2003). IslandPath: aiding detection of genomic islands in prokaryotes. Bioinformatics. 19(3). 418–420. 307 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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