Michelle Su
- Molecular Medicine top 5%
- Clinical Biochemistry top 5%
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- Antimicrobial Resistance in Staphylococcus 2
- SARS-CoV-2 and COVID-19 Research 1
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- Bacterial Genetics and Biotechnology 2
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- Genomics and Phylogenetic Studies 2
- vaccines and immunoinformatics approaches 1
- Machine Learning in Bioinformatics 1
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- COVID-19 epidemiological studies 1
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- MRI in cancer diagnosis 1
- Co-authors
- Timothy D. ReadSarah W. SatolaClaudia Solís‐LemusJames T. LylesRobert A. PetitHuaqiao TangCassandra L. QuaveAngie S. Hinrichs
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Michelle Su
6 papers receiving 284 citations
Peers
Comparison fields: 5 of 58
- Molecular Medicine 122
- Clinical Biochemistry 104
- Applied Microbiology and Biotechnology 28
- Endocrinology 26
- Infectious Diseases 73
Countries citing papers authored by Michelle Su
This map shows the geographic impact of Michelle Su'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 Michelle Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelle Su more than expected).
Fields of papers citing papers by Michelle Su
This network shows the impact of papers produced by Michelle Su. 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 Michelle Su. The network helps show where Michelle Su may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michelle Su, 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 | 2024 | 8 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 6 | |
| 4 | 2022 | 5 | |
| 5 | 2021 | 12 | |
| 6 | 2020 | 16 | |
| 7 | 2018 | 243 |
About Michelle Su
Michelle Su is a scholar working on Modeling and Simulation, Molecular Medicine, Infectious Diseases, Clinical Biochemistry and Genetics, having authored 7 papers that have together received 290 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (2 papers), Genomics and Phylogenetic Studies (2 papers), Antimicrobial Resistance in Staphylococcus (2 papers), vaccines and immunoinformatics approaches (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper), Machine Learning in Bioinformatics (1 paper), COVID-19 epidemiological studies (1 paper) and MRI in cancer diagnosis (1 paper). The work is most often cited by research in Molecular Medicine (122 citations), Clinical Biochemistry (104 citations), Applied Microbiology and Biotechnology (28 citations), Endocrinology (26 citations) and Infectious Diseases (73 citations). Michelle Su has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Timothy D. Read, Sarah W. Satola, Claudia Solís‐Lemus, James T. Lyles, Robert A. Petit, Huaqiao Tang, Cassandra L. Quave, Angie S. Hinrichs, Scott Hughes and Áine O’Toole. Their work appears in journals such as PeerJ, The Journal of Infectious Diseases, Virus Evolution, MMWR Morbidity and Mortality Weekly Report and Journal of Clinical Microbiology.
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.