Ravi U. Sheth
Impact in
- Molecular Biology top 10%
- Gut microbiota and health
- CRISPR and Genetic Engineering
- Gene Regulatory Network Analysis
- Advanced biosensing and bioanalysis techniques
- Biotechnology top 5%
Papers in
-
- Gut microbiota and health 11
- CRISPR and Genetic Engineering 6
- Genomics and Phylogenetic Studies 3
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- Probiotics and Fermented Foods 6
- Co-authors
- Harris H. Wang (13 shared papers)Jeffrey J. Tabor (3 shared papers)Sway P. Chen (1 shared paper)Vitor Cabral (1 shared paper)Sung Sun Yim (2 shared papers)Yiming Huang (6 shared papers)Sebastian R. Schmidl (2 shared papers)Felix L. Wu (1 shared paper)
- Journals
- Nature Microbiology (3 papers)Animals (2 papers)Nature Biotechnology (2 papers)Nature Chemical Biology (2 papers)Nature Methods (1 paper)
- Partner nations
- United States
In The Last Decade
Ravi U. Sheth
18 papers receiving 1.4k citations
Ravi U. Sheth's Hit Papers
Peers
Comparison fields: 5 of 113
- Molecular Biology 1.1k
- Biotechnology 108
- Ecology 239
- Genetics 198
- Biological Psychiatry 16
Countries citing papers authored by Ravi U. Sheth
This map shows the geographic impact of Ravi U. Sheth'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 Ravi U. Sheth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ravi U. Sheth more than expected).
Fields of papers citing papers by Ravi U. Sheth
This network shows the impact of papers produced by Ravi U. Sheth. 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 Ravi U. Sheth. The network helps show where Ravi U. Sheth may publish in the future.
Co-authors
The 25 scholars most cited alongside Ravi U. Sheth, 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 | 2017 | 214 | |
| 2 | 2016 | 197 | |
| 3 | High-throughput microbial culturomics using automation and machine learning Hit paper breakdown → | 2023 | 158 |
| 4 | 2017 | 134 | |
| 5 | 2014 | 125 | |
| 6 | 2018 | 113 | |
| 7 | 2019 | 108 | |
| 8 | 2019 | 82 | |
| 9 | 2021 | 65 | |
| 10 | 2020 | 60 | |
| 11 | 2019 | 58 | |
| 12 | 2020 | 56 | |
| 13 | 2019 | 33 | |
| 14 | 2024 | 24 | |
| 15 | 2020 | 14 | |
| 16 | 2025 | 7 | |
| 17 | 2024 | 6 | |
| 18 | 2025 | 2 | |
| 19 | 2025 | 0 |
About Ravi U. Sheth
Ravi U. Sheth is a scholar working on Molecular Biology, Food Science, Infectious Diseases, Ecology and Genetics, having authored 19 papers that have together received 1.5k indexed citations. Recurring topics across this work include Gut microbiota and health (11 papers), Probiotics and Fermented Foods (6 papers), CRISPR and Genetic Engineering (6 papers), Clostridium difficile and Clostridium perfringens research (4 papers), Genomics and Phylogenetic Studies (3 papers), Microbial Community Ecology and Physiology (2 papers), Bacterial Genetics and Biotechnology (2 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Biotechnology (108 citations), Ecology (239 citations), Genetics (198 citations) and Biological Psychiatry (16 citations). Ravi U. Sheth has collaborated with scholars based in United States. Frequent co-authors include Harris H. Wang, Jeffrey J. Tabor, Sway P. Chen, Vitor Cabral, Sung Sun Yim, Yiming Huang, Sebastian R. Schmidl, Felix L. Wu, Andrew Kaufman and Andrew Wu. Their work appears in journals such as Nature Microbiology, Animals, Nature Biotechnology, Nature Chemical Biology and Nature Methods.
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.