Casey E. Hofstaedter
Impact in
- Microbiology top 5%
- Reproductive tract infections research
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
-
- Bacterial biofilms and quorum sensing 4
- Genomics and Phylogenetic Studies 3
- Lipid Membrane Structure and Behavior 2
- Metabolomics and Mass Spectrometry Studies 2
- Gut microbiota and health 2
-
- Antibiotic Resistance in Bacteria 5
- Co-authors
- Frederic D. Bushman (6 shared papers)Erik Clarke (4 shared papers)Kyle Bittinger (4 shared papers)Lisa M. Mattei (4 shared papers)Scott Sherrill-Mix (2 shared papers)Ronald G. Collman (3 shared papers)Abigail Lauder (2 shared papers)Dorothy Kim (2 shared papers)
- Journals
- iScience (2 papers)Microbiome (2 papers)Microbiology Spectrum (2 papers)Cell Metabolism (1 paper)mBio (1 paper)
- Partner nations
- United StatesAustraliaCzechia
In The Last Decade
Casey E. Hofstaedter
15 papers receiving 755 citations
Casey E. Hofstaedter's Hit Papers
Peers
Comparison fields: 5 of 105
- Microbiology 81
- Molecular Medicine 46
- Periodontics 32
- Biological Psychiatry 16
- Molecular Biology 410
Countries citing papers authored by Casey E. Hofstaedter
This map shows the geographic impact of Casey E. Hofstaedter'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 Casey E. Hofstaedter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Casey E. Hofstaedter more than expected).
Fields of papers citing papers by Casey E. Hofstaedter
This network shows the impact of papers produced by Casey E. Hofstaedter. 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 Casey E. Hofstaedter. The network helps show where Casey E. Hofstaedter may publish in the future.
Co-authors
The 25 scholars most cited alongside Casey E. Hofstaedter, 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 | Optimizing methods and dodging pitfalls in microbiome research Hit paper breakdown → | 2017 | 386 |
| 2 | 2018 | 180 | |
| 3 | 2017 | 56 | |
| 4 | 2018 | 27 | |
| 5 | 2022 | 24 | |
| 6 | 2019 | 19 | |
| 7 | 2023 | 17 | |
| 8 | 2021 | 16 | |
| 9 | 2023 | 8 | |
| 10 | 2023 | 6 | |
| 11 | 2022 | 6 | |
| 12 | 2024 | 5 | |
| 13 | 2020 | 5 | |
| 14 | 2023 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2023 | 0 | |
| 17 | 2023 | 0 |
About Casey E. Hofstaedter
Casey E. Hofstaedter is a scholar working on Molecular Biology, Molecular Medicine, Epidemiology, Infectious Diseases and Physiology, having authored 17 papers that have together received 757 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (5 papers), Bacterial biofilms and quorum sensing (4 papers), Genomics and Phylogenetic Studies (3 papers), Cystic Fibrosis Research Advances (2 papers), Lipid Membrane Structure and Behavior (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Gut microbiota and health (2 papers) and Mycobacterium research and diagnosis (2 papers). The work is most often cited by research in Microbiology (81 citations), Molecular Medicine (46 citations), Periodontics (32 citations), Biological Psychiatry (16 citations) and Molecular Biology (410 citations). Casey E. Hofstaedter has collaborated with scholars based in United States, Australia and Czechia. Frequent co-authors include Frederic D. Bushman, Erik Clarke, Kyle Bittinger, Lisa M. Mattei, Scott Sherrill-Mix, Ronald G. Collman, Abigail Lauder, Dorothy Kim, Judith R. Kelsen and Christel Chehoud. Their work appears in journals such as iScience, Microbiome, Microbiology Spectrum, Cell Metabolism and mBio.
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.