FoSheng Hsu
Impact in
- Endocrinology top 0.5%
- Vibrio bacteria research studies
- Escherichia coli research studies
- Legionella and Acanthamoeba research
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
Papers in
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- Bacterial biofilms and quorum sensing 3
-
- Vibrio bacteria research studies 5
- Legionella and Acanthamoeba research 3
- Co-authors
- Joseph D. Mougous (5 shared papers)Yuxin Mao (7 shared papers)Sandra Schwarz (2 shared papers)Rachel D. Hood (2 shared papers)Kevin B. Hicks (2 shared papers)Julie M. Silverman (2 shared papers)Pragya Singh (1 shared paper)Mo Li (1 shared paper)
- Journals
- Molecular Microbiology (2 papers)Proceedings of the National Academy of Sciences (2 papers)eLife (2 papers)Microbiology (1 paper)BioTechniques (1 paper)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
FoSheng Hsu
15 papers receiving 1.9k citations
FoSheng Hsu's Hit Papers
Peers
Comparison fields: 5 of 91
- Endocrinology 923
- Molecular Medicine 350
- Molecular Biology 1.1k
- Clinical Biochemistry 96
- Genetics 366
Countries citing papers authored by FoSheng Hsu
This map shows the geographic impact of FoSheng Hsu'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 FoSheng Hsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites FoSheng Hsu more than expected).
Fields of papers citing papers by FoSheng Hsu
This network shows the impact of papers produced by FoSheng Hsu. 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 FoSheng Hsu. The network helps show where FoSheng Hsu may publish in the future.
Co-authors
The 25 scholars most cited alongside FoSheng Hsu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A Type VI Secretion System of Pseudomonas aeruginosa Targets a Toxin to Bacteria Hit paper breakdown → | 2010 | 731 |
| 2 | A bacterial cytidine deaminase toxin enables CRISPR-free mitochondrial base editing Hit paper breakdown → | 2020 | 512 |
| 3 | 2009 | 97 | |
| 4 | 2014 | 94 | |
| 5 | 2012 | 92 | |
| 6 | 2018 | 91 | |
| 7 | 2011 | 79 | |
| 8 | 2014 | 59 | |
| 9 | 2015 | 43 | |
| 10 | 2013 | 40 | |
| 11 | 2021 | 33 | |
| 12 | 2012 | 31 | |
| 13 | 2013 | 13 | |
| 14 | 2016 | 6 | |
| 15 | 2001 | 6 |
About FoSheng Hsu
FoSheng Hsu is a scholar working on Molecular Biology, Endocrinology, Molecular Medicine, Cell Biology and Genetics, having authored 15 papers that have together received 1.9k indexed citations. Recurring topics across this work include Vibrio bacteria research studies (5 papers), Cellular transport and secretion (4 papers), Antibiotic Resistance in Bacteria (4 papers), Bacterial biofilms and quorum sensing (3 papers), Legionella and Acanthamoeba research (3 papers), Bacterial Genetics and Biotechnology (3 papers), Neonatal Health and Biochemistry (2 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Endocrinology (923 citations), Molecular Medicine (350 citations), Molecular Biology (1.1k citations), Clinical Biochemistry (96 citations) and Genetics (366 citations). FoSheng Hsu has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Joseph D. Mougous, Yuxin Mao, Sandra Schwarz, Rachel D. Hood, Kevin B. Hicks, Julie M. Silverman, Pragya Singh, Mo Li, Mike A. Carl and Alexey J. Merz. Their work appears in journals such as Molecular Microbiology, Proceedings of the National Academy of Sciences, eLife, Microbiology and BioTechniques.
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.