Todd Pray

1.8k total citations
33 papers, 1.3k citations indexed

About

Todd Pray is a scholar working on Molecular Biology, Biomedical Engineering and Oncology. According to data from OpenAlex, Todd Pray has authored 33 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 17 papers in Biomedical Engineering and 6 papers in Oncology. Recurrent topics in Todd Pray's work include Biofuel production and bioconversion (17 papers), Microbial Metabolic Engineering and Bioproduction (14 papers) and Catalysis for Biomass Conversion (8 papers). Todd Pray is often cited by papers focused on Biofuel production and bioconversion (17 papers), Microbial Metabolic Engineering and Bioproduction (14 papers) and Catalysis for Biomass Conversion (8 papers). Todd Pray collaborates with scholars based in United States, Germany and Denmark. Todd Pray's co-authors include Deepti Tanjore, Aindrila Mukhopadhyay, Blake A. Simmons, Maren Wehrs, Charles S. Craik, Jeff Lievense, Thomas Eng, Jay D. Keasling, Ning Sun and Eric Sundström and has published in prestigious journals such as Nature Communications, Journal of Molecular Biology and Biochemistry.

In The Last Decade

Todd Pray

33 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Todd Pray United States 20 769 491 180 171 160 33 1.3k
Moon Hee Lee South Korea 18 752 1.0× 157 0.3× 94 0.5× 294 1.7× 53 0.3× 48 1.3k
B. Nocek United States 25 1.4k 1.8× 149 0.3× 225 1.3× 242 1.4× 124 0.8× 61 2.1k
Claudia Altamirano Chile 29 1.5k 2.0× 290 0.6× 39 0.2× 94 0.5× 178 1.1× 87 2.1k
Josefina Zaldivar Chile 8 1.1k 1.4× 692 1.4× 211 1.2× 57 0.3× 194 1.2× 8 1.5k
Peter Sommer France 20 719 0.9× 192 0.4× 383 2.1× 121 0.7× 66 0.4× 47 1.6k
Pavel Dvořák Czechia 17 819 1.1× 278 0.6× 139 0.8× 40 0.2× 101 0.6× 28 1.3k
Plamen P. Christov United States 20 986 1.3× 302 0.6× 59 0.3× 222 1.3× 165 1.0× 51 1.8k
Baisong Zheng China 20 501 0.7× 133 0.3× 127 0.7× 72 0.4× 108 0.7× 48 964
Mark I. Donnelly United States 20 1.4k 1.8× 216 0.4× 60 0.3× 60 0.4× 79 0.5× 26 1.7k
Jingyao Qu United States 22 1.2k 1.5× 134 0.3× 106 0.6× 75 0.4× 198 1.2× 44 1.5k

Countries citing papers authored by Todd Pray

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Todd Pray

This figure shows the co-authorship network connecting the top 25 collaborators of Todd Pray. A scholar is included among the top collaborators of Todd Pray based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Todd Pray. Todd Pray is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhuang, Xun, Oliver Kilian, Masakazu Ito, et al.. (2019). Monoterpene production by the carotenogenic yeast Rhodosporidium toruloides. Microbial Cell Factories. 18(1). 54–54. 61 indexed citations
2.
Yan, Jipeng, Ling Liang, Qian He, et al.. (2019). Methyl Ketones from Municipal Solid Waste Blends by One‐Pot Ionic‐Liquid Pretreatment, Saccharification, and Fermentation. ChemSusChem. 12(18). 4313–4322. 15 indexed citations
3.
Yuzawa, Satoshi, Mona Mirsiaghi, Tatsuya Fujii, et al.. (2018). Short-chain ketone production by engineered polyketide synthases in Streptomyces albus. Nature Communications. 9(1). 4569–4569. 65 indexed citations
4.
Wehrs, Maren, Jan‐Philip Prahl, Yuchen Li, et al.. (2018). Production efficiency of the bacterial non-ribosomal peptide indigoidine relies on the respiratory metabolic state in S. cerevisiae. Microbial Cell Factories. 17(1). 193–193. 39 indexed citations
5.
Konda, N. V. S. N. Murthy, James L. Gardner, Chenlin Li, et al.. (2018). Simultaneous application of predictive model and least cost formulation can substantially benefit biorefineries outside Corn Belt in United States: A case study in Florida. Bioresource Technology. 271. 218–227. 8 indexed citations
6.
Liang, Ling, Chenlin Li, Feng Xu, et al.. (2017). Conversion of cellulose rich municipal solid waste blends using ionic liquids: feedstock convertibility and process scale-up. RSC Advances. 7(58). 36585–36593. 14 indexed citations
7.
Yaegashi, Junko, James Kirby, Masakazu Ito, et al.. (2017). Rhodosporidium toruloides: a new platform organism for conversion of lignocellulose into terpene biofuels and bioproducts. Biotechnology for Biofuels. 10(1). 241–241. 142 indexed citations
8.
Li, Chenlin, Ling Liang, Ning Sun, et al.. (2017). Scale-up and process integration of sugar production by acidolysis of municipal solid waste/corn stover blends in ionic liquids. Biotechnology for Biofuels. 10(1). 13–13. 27 indexed citations
9.
Kolinko, Sebastian, Yu‐Wei Wu, Raphael Gabriel, et al.. (2017). A bacterial pioneer produces cellulase complexes that persist through community succession. Nature Microbiology. 3(1). 99–107. 28 indexed citations
10.
Gardner, James L., Chenlin Li, Allison E. Ray, et al.. (2017). Predictive modeling to de-risk bio-based manufacturing by adapting to variability in lignocellulosic biomass supply. Bioresource Technology. 243. 676–685. 14 indexed citations
11.
Prahl, Jan‐Philip, Raphael Gabriel, Simon Harth, et al.. (2017). Xylose induces cellulase production in Thermoascus aurantiacus. Biotechnology for Biofuels. 10(1). 271–271. 27 indexed citations
12.
Sun, Ning, Feng Xu, Noppadon Sathitsuksanoh, et al.. (2015). Blending municipal solid waste with corn stover for sugar production using ionic liquid process. Bioresource Technology. 186. 200–206. 24 indexed citations
13.
Gururaja, Tarikere, Todd Pray, Guoqiang Dong, et al.. (2005). A Homogeneous FRET Assay System for Multiubiquitin Chain Assembly and Disassembly. Methods in enzymology on CD-ROM/Methods in enzymology. 399. 663–682. 13 indexed citations
14.
Wong, Brian, Francesco Parlati, Kunbin Qu, et al.. (2003). Drug discovery in the ubiquitin regulatory pathway. Drug Discovery Today. 8(16). 746–754. 51 indexed citations
15.
Pray, Todd, et al.. (2002). Conformational Change Coupling the Dimerization and Activation of KSHV Protease. Biochemistry. 41(5). 1474–1482. 19 indexed citations
16.
Pray, Todd, Francesco Parlati, Jianing Huang, et al.. (2002). Cell cycle regulatory E3 ubiquitin ligases as anticancer targets. Drug Resistance Updates. 5(6). 249–258. 58 indexed citations
17.
18.
Pray, Todd, Anson M. Nomura, Michael W. Pennington, & Charles S. Craik. (1999). Pray, T.R., Nomura, A.M., Pennington, M.W. & Craik, C.S. Auto-inactivation by cleavage within the dimer interface of Kaposi's sarcoma-associated herpesvirus protease. J. Mol. Biol. 289, 197-203. 1 indexed citations
19.
Pray, Todd, David S. Burz, & Gary K. Ackers. (1998). Cooperative non-specific DNA binding by octamerizing λcI repressors: a site-specific thermodynamic analysis. Journal of Molecular Biology. 282(5). 947–958. 17 indexed citations
20.
Pray, Todd & Laimonis A. Laimins. (1995). Differentiation-dependent expression of E1^E4 proteins in cell lines maintaining episomes of human papillomavirus type 31b. Virology. 206(1). 679–685. 44 indexed citations

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.

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