Todd Pray
Impact in
- Biotechnology top 5%
- Molecular Biology top 10%
- Microbial Metabolic Engineering and Bioproduction
- Enzyme Catalysis and Immobilization
- Ubiquitin and proteasome pathways
Papers in
-
- Microbial Metabolic Engineering and Bioproduction 11
- Enzyme Catalysis and Immobilization 4
- Ubiquitin and proteasome pathways 3
-
- Biofuel production and bioconversion 17
- Catalysis for Biomass Conversion 8
- Co-authors
- Deepti Tanjore (15 shared papers)Aindrila Mukhopadhyay (5 shared papers)Blake A. Simmons (14 shared papers)Maren Wehrs (4 shared papers)Charles S. Craik (6 shared papers)Thomas Eng (1 shared paper)Jeff Lievense (1 shared paper)Jay D. Keasling (6 shared papers)
- Journals
- Green Chemistry (4 papers)Bioresource Technology (3 papers)Biotechnology for Biofuels (3 papers)Journal of Virology (2 papers)Biochemistry (2 papers)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Todd Pray
34 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 103
- Biotechnology 165
- Molecular Biology 786
- Biomedical Engineering 501
- Oncology 182
- Virology 31
Countries citing papers authored by Todd Pray
This map shows the geographic impact of Todd Pray'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 Todd Pray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Todd Pray more than expected).
Fields of papers citing papers by Todd Pray
This network shows the impact of papers produced by Todd Pray. 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 Todd Pray. The network helps show where Todd Pray may publish in the future.
Co-authors
The 25 scholars most cited alongside Todd Pray, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 190 | |
| 2 | 2017 | 158 | |
| 3 | 2001 | 81 | |
| 4 | 2018 | 76 | |
| 5 | 2019 | 71 | |
| 6 | 2018 | 69 | |
| 7 | 2019 | 66 | |
| 8 | 2002 | 59 | |
| 9 | 2003 | 52 | |
| 10 | 2016 | 48 | |
| 11 | 1995 | 47 | |
| 12 | 2018 | 45 | |
| 13 | 1997 | 41 | |
| 14 | 2018 | 38 | |
| 15 | 2017 | 33 | |
| 16 | 2000 | 32 | |
| 17 | 2017 | 30 | |
| 18 | 2015 | 29 | |
| 19 | 2017 | 29 | |
| 20 | 1998 | 21 |
About Todd Pray
Todd Pray is a scholar working on Molecular Biology, Biomedical Engineering, Oncology, Epidemiology and Biotechnology, having authored 34 papers that have together received 1.4k indexed citations. Recurring topics across this work include Biofuel production and bioconversion (17 papers), Microbial Metabolic Engineering and Bioproduction (11 papers), Catalysis for Biomass Conversion (8 papers), Enzyme Catalysis and Immobilization (4 papers), Herpesvirus Infections and Treatments (4 papers), Cytomegalovirus and herpesvirus research (4 papers), Ubiquitin and proteasome pathways (3 papers) and Viral-associated cancers and disorders (3 papers). The work is most often cited by research in Biotechnology (165 citations), Molecular Biology (786 citations), Biomedical Engineering (501 citations), Oncology (182 citations) and Virology (31 citations). Todd Pray has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Deepti Tanjore, Aindrila Mukhopadhyay, Blake A. Simmons, Maren Wehrs, Charles S. Craik, Thomas Eng, Jeff Lievense, Jay D. Keasling, John M. Gladden and Ning Sun. Their work appears in journals such as Green Chemistry, Bioresource Technology, Biotechnology for Biofuels, Journal of Virology and Biochemistry.
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.