Joseph T. Meyerowitz
Impact in
- Computer Science Applications top 10%
- Mobile Crowdsensing and Crowdsourcing
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- Microbial Metabolic Engineering and Bioproduction
- Enzyme Catalysis and Immobilization
- CRISPR and Genetic Engineering
Papers in
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- Microbial Metabolic Engineering and Bioproduction 3
- CRISPR and Genetic Engineering 2
- Gene Regulatory Network Analysis 2
- Biochemical and Molecular Research 1
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- Privacy, Security, and Data Protection 3
- Co-authors
- Romit Roy Choudhury (3 shared papers)Frances H. Arnold (3 shared papers)Sabine Bastian (1 shared paper)Xiang Liu (1 shared paper)Christopher D. Snow (1 shared paper)Richard M. Murray (2 shared papers)Emmanuel L. C. de los Santos (1 shared paper)Stephen L. Mayo (1 shared paper)
- Journals
- ACS Synthetic Biology (2 papers)Nature (1 paper)Metabolic Engineering (1 paper)ChemBioChem (1 paper)Frontiers in Microbiology (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Joseph T. Meyerowitz
9 papers receiving 500 citations
Peers
Comparison fields: 5 of 71
- Computer Science Applications 48
- Molecular Biology 309
- Artificial Intelligence 131
- Biomedical Engineering 139
- Transportation 17
Countries citing papers authored by Joseph T. Meyerowitz
This map shows the geographic impact of Joseph T. Meyerowitz'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 Joseph T. Meyerowitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph T. Meyerowitz more than expected).
Fields of papers citing papers by Joseph T. Meyerowitz
This network shows the impact of papers produced by Joseph T. Meyerowitz. 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 Joseph T. Meyerowitz. The network helps show where Joseph T. Meyerowitz may publish in the future.
Co-authors
The 20 scholars most cited alongside Joseph T. Meyerowitz, 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 | 2011 | 216 | |
| 2 | 2009 | 130 | |
| 3 | 2015 | 73 | |
| 4 | 2014 | 40 | |
| 5 | 2014 | 27 | |
| 6 | 2009 | 12 | |
| 7 | 2024 | 6 | |
| 8 | 2010 | 4 | |
| 9 | 2024 | 2 |
About Joseph T. Meyerowitz
Joseph T. Meyerowitz is a scholar working on Molecular Biology, Sociology and Political Science, Artificial Intelligence, Transportation and Organic Chemistry, having authored 9 papers that have together received 510 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Privacy, Security, and Data Protection (3 papers), Human Mobility and Location-Based Analysis (2 papers), CRISPR and Genetic Engineering (2 papers), Gene Regulatory Network Analysis (2 papers), Polar Research and Ecology (1 paper) and Biochemical and Molecular Research (1 paper). The work is most often cited by research in Computer Science Applications (48 citations), Molecular Biology (309 citations), Artificial Intelligence (131 citations), Biomedical Engineering (139 citations) and Transportation (17 citations). Joseph T. Meyerowitz has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Romit Roy Choudhury, Frances H. Arnold, Sabine Bastian, Xiang Liu, Christopher D. Snow, Richard M. Murray, Emmanuel L. C. de los Santos, Stephen L. Mayo, Sheel C. Dodani and John A. McIntosh. Their work appears in journals such as ACS Synthetic Biology, Nature, Metabolic Engineering, ChemBioChem and Frontiers in 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.