Michelle Su
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Clinical Biochemistry top 5%
- Bacterial Identification and Susceptibility Testing
Papers in
-
- Antimicrobial Resistance in Staphylococcus 2
-
- Genomics and Phylogenetic Studies 2
- Biochemical and Structural Characterization 1
- vaccines and immunoinformatics approaches 1
- Co-authors
- Timothy D. Read (3 shared papers)Sarah W. Satola (2 shared papers)Claudia Solís‐Lemus (2 shared papers)James T. Lyles (1 shared paper)Robert A. Petit (1 shared paper)Cassandra L. Quave (1 shared paper)Huaqiao Tang (1 shared paper)Adriano de Bernardi Schneider (1 shared paper)
- Journals
- PeerJ (2 papers)The Journal of Infectious Diseases (1 paper)Journal of Clinical Microbiology (1 paper)MMWR Morbidity and Mortality Weekly Report (1 paper)Virus Evolution (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Michelle Su
6 papers receiving 302 citations
Peers
Comparison fields: 5 of 53
- Molecular Medicine 116
- Clinical Biochemistry 92
- Applied Microbiology and Biotechnology 20
- Endocrinology 25
- Infectious Diseases 72
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-authors
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 | 2018 | 257 | |
| 2 | 2020 | 17 | |
| 3 | 2021 | 13 | |
| 4 | 2024 | 8 | |
| 5 | 2023 | 7 | |
| 6 | 2022 | 5 | |
| 7 | 2024 | 0 |
About Michelle Su
Michelle Su is a scholar working on Infectious Diseases, Molecular Biology, Genetics, Clinical Biochemistry and Molecular Medicine, having authored 7 papers that have together received 307 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (2 papers), Bacterial Genetics and Biotechnology (2 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), MRI in cancer diagnosis (1 paper), Biochemical and Structural Characterization (1 paper), vaccines and immunoinformatics approaches (1 paper) and Bacterial Identification and Susceptibility Testing (1 paper). The work is most often cited by research in Molecular Medicine (116 citations), Clinical Biochemistry (92 citations), Applied Microbiology and Biotechnology (20 citations), Endocrinology (25 citations) and Infectious Diseases (72 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, Cassandra L. Quave, Huaqiao Tang, Adriano de Bernardi Schneider, Scott Hughes and Nicola De Maio. Their work appears in journals such as PeerJ, The Journal of Infectious Diseases, Journal of Clinical Microbiology, MMWR Morbidity and Mortality Weekly Report and Virus Evolution.
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.