Ryan E. Cobb
Impact in
- Pharmacology top 1%
- Microbial Natural Products and Biosynthesis
- Molecular Biology top 10%
- CRISPR and Genetic Engineering
- Microbial Metabolic Engineering and Bioproduction
- Enzyme Catalysis and Immobilization
- Gene Regulatory Network Analysis
Papers in
-
- Microbial Natural Products and Biosynthesis 8
- Pharmacogenetics and Drug Metabolism 1
-
- CRISPR and Genetic Engineering 6
- Microbial Metabolic Engineering and Bioproduction 3
- Plant biochemistry and biosynthesis 1
- Co-authors
- Huimin Zhao (16 shared papers)Yajie Wang (3 shared papers)Yunzi Luo (3 shared papers)Ran Chao (1 shared paper)Kristen E. Wendt (1 shared paper)Justin L. Ungerer (1 shared paper)Himadri B. Pakrasi (1 shared paper)Meng Wang (1 shared paper)
- Journals
- Nature Communications (1 paper)Methods in enzymology on CD-ROM/Methods in enzymology (1 paper)Current Opinion in Chemical Biology (1 paper)Microbial Cell Factories (1 paper)Methods (1 paper)
- Partner nations
- United StatesSingapore
In The Last Decade
Ryan E. Cobb
16 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 76
- Pharmacology 740
- Molecular Biology 914
- Drug Discovery 4
- Biotechnology 63
- Genetics 120
Countries citing papers authored by Ryan E. Cobb
This map shows the geographic impact of Ryan E. Cobb'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 Ryan E. Cobb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan E. Cobb more than expected).
Fields of papers citing papers by Ryan E. Cobb
This network shows the impact of papers produced by Ryan E. Cobb. 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 Ryan E. Cobb. The network helps show where Ryan E. Cobb may publish in the future.
Co-authors
The 24 scholars most cited alongside Ryan E. Cobb, 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 | 2014 | 493 | |
| 2 | 2017 | 252 | |
| 3 | 2013 | 213 | |
| 4 | 2016 | 192 | |
| 5 | 2012 | 158 | |
| 6 | 2014 | 123 | |
| 7 | 2012 | 99 | |
| 8 | 2012 | 82 | |
| 9 | 2013 | 51 | |
| 10 | 2012 | 29 | |
| 11 | 2015 | 22 | |
| 12 | 2016 | 22 | |
| 13 | 2013 | 13 | |
| 14 | 2014 | 10 | |
| 15 | 2011 | 8 | |
| 16 | 2019 | 4 |
About Ryan E. Cobb
Ryan E. Cobb is a scholar working on Pharmacology, Molecular Biology, Pharmacology, Materials Chemistry and Organic Chemistry, having authored 16 papers that have together received 1.8k indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (8 papers), CRISPR and Genetic Engineering (6 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Enzyme Structure and Function (2 papers), Plant biochemistry and biosynthesis (1 paper), Pharmacogenetics and Drug Metabolism (1 paper), Organophosphorus compounds synthesis (1 paper) and Malaria Research and Control (1 paper). The work is most often cited by research in Pharmacology (740 citations), Molecular Biology (914 citations), Drug Discovery (4 citations), Biotechnology (63 citations) and Genetics (120 citations). Ryan E. Cobb has collaborated with scholars based in United States and Singapore. Frequent co-authors include Huimin Zhao, Yajie Wang, Yunzi Luo, Ran Chao, Kristen E. Wendt, Justin L. Ungerer, Himadri B. Pakrasi, Meng Wang, Zengyi Shao and Tong Si. Their work appears in journals such as Nature Communications, Methods in enzymology on CD-ROM/Methods in enzymology, Current Opinion in Chemical Biology, Microbial Cell Factories and 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.