Joshua D. Shrout
- Endocrinology top 2%
- Molecular Medicine top 2%
- Pollution top 2%
- Microbiology top 2%
- Molecular Biology top 5%
- Bacterial biofilms and quorum sensing 42
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- Bacterial Genetics and Biotechnology 12
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- Bacterial Identification and Susceptibility Testing 11
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- Biosensors and Analytical Detection 10
- Microfluidic and Bio-sensing Technologies 9
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- Spectroscopy Techniques in Biomedical and Chemical Research 8
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- Bacteriophages and microbial interactions 8
- Microbial Community Ecology and Physiology 6
- Co-authors
- Robert NerenbergMatthew R. ParsekMichael GivskovPaul W. BohnDavid L. ChoppMorten HentzerNydia Morales-SotoGene F. Parkin
- Partner nations
- United StatesPhilippinesRussia
In The Last Decade
Joshua D. Shrout
78 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 129
- Endocrinology 262
- Molecular Medicine 240
- Pollution 367
- Microbiology 165
- Molecular Biology 1.6k
Countries citing papers authored by Joshua D. Shrout
This map shows the geographic impact of Joshua D. Shrout'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 Joshua D. Shrout with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joshua D. Shrout more than expected).
Fields of papers citing papers by Joshua D. Shrout
This network shows the impact of papers produced by Joshua D. Shrout. 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 Joshua D. Shrout. The network helps show where Joshua D. Shrout may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Joshua D. Shrout, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 8 | |
| 4 | 2023 | 29 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 2 | |
| 7 | 2021 | 0 | |
| 8 | 2020 | 15 | |
| 9 | 2019 | 33 | |
| 10 | 2019 | 25 | |
| 11 | 2018 | 10 | |
| 12 | 2016 | 13 | |
| 13 | 2015 | 48 | |
| 14 | Type IV pili interactions promote intercellular association and moderate swarming of Pseudomonas aeruginosa | 2014 | 1 |
| 15 | 2013 | 37 | |
| 16 | 2011 | 41 | |
| 17 | 2011 | 186 | |
| 18 | 2006 | 444 | |
| 19 | 2005 | 39 | |
| 20 | 2005 | 10 |
About Joshua D. Shrout
Joshua D. Shrout is a scholar working on Clinical Biochemistry, Biophysics and Molecular Medicine, having authored 81 papers that have together received 2.8k indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (42 papers), Bacterial Genetics and Biotechnology (12 papers), Bacterial Identification and Susceptibility Testing (11 papers), Biosensors and Analytical Detection (10 papers), Microfluidic and Bio-sensing Technologies (9 papers), Spectroscopy Techniques in Biomedical and Chemical Research (8 papers), Bacteriophages and microbial interactions (8 papers) and Microbial Community Ecology and Physiology (6 papers). The work is most often cited by research in Endocrinology (262 citations), Molecular Medicine (240 citations) and Pollution (367 citations). Joshua D. Shrout has collaborated with scholars based in United States, Philippines and Russia. Frequent co-authors include Robert Nerenberg, Matthew R. Parsek, Michael Givskov, Paul W. Bohn, David L. Chopp, Morten Hentzer, Nydia Morales-Soto, Gene F. Parkin, Jonathan V. Sweedler and Daniel Zitomer.
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.