William Hsiao

10.5k citations
62 papers · 2.9k · h-index 24

Impact in

Papers in

    • Genomics and Phylogenetic Studies 10
    • Gut microbiota and health 8
    • Biomedical Text Mining and Ontologies 7
    • Influenza Virus Research Studies 7
    • Respiratory viral infections research 5

William Hsiao

58 papers receiving 2.8k citations

Peers

William Hsiao
Comparison fields: 5 of 160
  • Molecular Medicine 270
  • Endocrinology 272
  • Periodontics 107
  • Applied Microbiology and Biotechnology 40
  • Infectious Diseases 373
Replace Emilia Ghelardi with:
Emilia Ghelardi Italy
Shana R. Leopold United States
Marcus B. Jones United States
Blake Hanson United States
Ivo Steinmetz Germany
Abigail A. Salyers United States
Nathan Shankar United States
Hossam M. Ashour United States
Torsten Hain Germany
Mark W. J. van Passel Netherlands
William Hsiao relative to Emilia Ghelardi Italy Emilia Ghelardi's profile →
Citations per field
00.5×1.5×1.8×
Emilia Ghelardi · 1×
Citations per year

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-authors

The 25 scholars most cited alongside William Hsiao, 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 William Hsiao Line = papers co-authored together William Hsiao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003309
2 2011267
3 2015231
4 2010213
5 2008213
6 2018196
7 2005155
8 2009120
9 2012118
10 2017110
11 201093
12 201763
13 200862
14 201159
15 200951
16 200551
17 201547
18 201844
19 201839
20 201139

About William Hsiao

William Hsiao is a scholar working on Molecular Biology, Epidemiology, Ecology, Food Science and Infectious Diseases, having authored 62 papers that have together received 2.9k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (10 papers), Bacteriophages and microbial interactions (9 papers), Gut microbiota and health (8 papers), Influenza Virus Research Studies (7 papers), Biomedical Text Mining and Ontologies (7 papers), Salmonella and Campylobacter epidemiology (6 papers), Semantic Web and Ontologies (5 papers) and Respiratory viral infections research (5 papers). The work is most often cited by research in Molecular Medicine (270 citations), Endocrinology (272 citations), Periodontics (107 citations), Applied Microbiology and Biotechnology (40 citations) and Infectious Diseases (373 citations). William Hsiao has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Fiona S. L. Brinkman, Morgan G. I. Langille, Steven J.M. Jones, Claire M. Fraser, Natalia Shulzhenko, Polly Matzinger, Andrey Morgun, Damion Dooley, Patrick Tang and Emma Griffiths. Their work appears in journals such as Bioinformatics, PLoS ONE, Frontiers in Microbiology, BMC Genomics and Microbial Genomics.

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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