Michael E. Hibbing
Impact in
- Endocrinology top 1%
- Escherichia coli research studies
- Molecular Medicine top 5%
Papers in
-
- Escherichia coli research studies 7
-
- Urinary Tract Infections Management 8
- Co-authors
- Clay Fuqua (5 shared papers)Snow Brook Peterson (1 shared paper)Matthew R. Parsek (1 shared paper)Scott J. Hultgren (12 shared papers)Matt S. Conover (7 shared papers)Karen Dodson (6 shared papers)Iris Yedidia (1 shared paper)Amy O. Charkowski (1 shared paper)
- Journals
- Journal of Bacteriology (3 papers)mBio (3 papers)Science Translational Medicine (2 papers)Journal of Visualized Experiments (2 papers)Molecular Microbiology (1 paper)
- Partner nations
- United StatesSingaporeAustralia
In The Last Decade
Michael E. Hibbing
19 papers receiving 3.4k citations
Michael E. Hibbing's Hit Papers
Peers
Comparison fields: 5 of 123
- Endocrinology 398
- Molecular Medicine 139
- Plant Science 824
- Ecology 423
- Genetics 461
Countries citing papers authored by Michael E. Hibbing
This map shows the geographic impact of Michael E. Hibbing'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 Michael E. Hibbing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael E. Hibbing more than expected).
Fields of papers citing papers by Michael E. Hibbing
This network shows the impact of papers produced by Michael E. Hibbing. 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 Michael E. Hibbing. The network helps show where Michael E. Hibbing may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael E. Hibbing, 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 | Bacterial competition: surviving and thriving in the microbial jungle Hit paper breakdown → | 2009 | 2147 |
| 2 | 2007 | 438 | |
| 3 | 2013 | 124 | |
| 4 | 2017 | 122 | |
| 5 | 2019 | 107 | |
| 6 | 2016 | 97 | |
| 7 | 2011 | 93 | |
| 8 | 2018 | 78 | |
| 9 | 2015 | 60 | |
| 10 | 2017 | 57 | |
| 11 | 2011 | 55 | |
| 12 | 2015 | 39 | |
| 13 | 2015 | 26 | |
| 14 | 2011 | 20 | |
| 15 | 2020 | 16 | |
| 16 | 2015 | 14 | |
| 17 | 2022 | 11 | |
| 18 | 2015 | 8 | |
| 19 | 2014 | 5 |
About Michael E. Hibbing
Michael E. Hibbing is a scholar working on Endocrinology, Epidemiology, Genetics, Plant Science and Molecular Medicine, having authored 19 papers that have together received 3.5k indexed citations. Recurring topics across this work include Urinary Tract Infections Management (8 papers), Escherichia coli research studies (7 papers), Plant Pathogenic Bacteria Studies (4 papers), Bacterial Genetics and Biotechnology (4 papers), Bacterial biofilms and quorum sensing (2 papers), Biochemical and Structural Characterization (2 papers), Microbial Community Ecology and Physiology (1 paper) and Carbohydrate Chemistry and Synthesis (1 paper). The work is most often cited by research in Endocrinology (398 citations), Molecular Medicine (139 citations), Plant Science (824 citations), Ecology (423 citations) and Genetics (461 citations). Michael E. Hibbing has collaborated with scholars based in United States, Singapore and Australia. Frequent co-authors include Clay Fuqua, Snow Brook Peterson, Matthew R. Parsek, Scott J. Hultgren, Matt S. Conover, Karen Dodson, Iris Yedidia, Amy O. Charkowski, Jeremy D. Glasner and Hyesook Kim. Their work appears in journals such as Journal of Bacteriology, mBio, Science Translational Medicine, Journal of Visualized Experiments and Molecular 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.