Gregory C. Patton

647 total citations
8 papers, 465 citations indexed

About

Gregory C. Patton is a scholar working on Molecular Biology, Food Science and Pharmacology. According to data from OpenAlex, Gregory C. Patton has authored 8 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Food Science and 2 papers in Pharmacology. Recurrent topics in Gregory C. Patton's work include Probiotics and Fermented Foods (5 papers), Biochemical and Structural Characterization (3 papers) and Microbial Natural Products and Biosynthesis (2 papers). Gregory C. Patton is often cited by papers focused on Probiotics and Fermented Foods (5 papers), Biochemical and Structural Characterization (3 papers) and Microbial Natural Products and Biosynthesis (2 papers). Gregory C. Patton collaborates with scholars based in United States, Sweden and Italy. Gregory C. Patton's co-authors include Wilfred A. van der Donk, Moushumi Paul, Champak Chatterjee, Lisa E. Cooper, Jackson Buss, Nathan A. Tanner, Guoping Ren, Andrew J. Barry, Yinhua Zhang and Matthew R. Levengood and has published in prestigious journals such as Journal of the American Chemical Society, Biochemistry and Nature Chemical Biology.

In The Last Decade

Gregory C. Patton

8 papers receiving 447 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gregory C. Patton United States	7	360	138	121	104	102	8	465
Maksim A. Burkin Russia	14	172 0.5×	138 1.0×	137 1.1×	41 0.4×	42 0.4×	46	406
Inna A. Galvidis Russia	13	157 0.4×	119 0.9×	124 1.0×	36 0.3×	39 0.4×	38	360
Ben Hu China	10	356 1.0×	183 1.3×	102 0.8×	12 0.1×	124 1.2×	15	515
Bimal Koirala United States	11	284 0.8×	160 1.2×	30 0.2×	33 0.3×	79 0.8×	15	480
Christine Sizemore United States	12	295 0.8×	38 0.3×	31 0.3×	25 0.2×	167 1.6×	23	529
Cenbin Lu Germany	6	446 1.2×	27 0.2×	47 0.4×	36 0.3×	56 0.5×	7	600
P. Neri Japan	14	134 0.4×	29 0.2×	36 0.3×	29 0.3×	72 0.7×	25	380
Martin Zavřel Czechia	14	257 0.7×	65 0.5×	27 0.2×	34 0.3×	212 2.1×	17	494
Geert Cazemier Netherlands	12	284 0.8×	92 0.7×	183 1.5×	78 0.8×	12 0.1×	15	464
Wanida Phetsang Australia	11	198 0.6×	89 0.6×	67 0.6×	16 0.2×	44 0.4×	18	453

Countries citing papers authored by Gregory C. Patton

Since Specialization

Citations

This map shows the geographic impact of Gregory C. Patton'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 Gregory C. Patton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory C. Patton more than expected).

Fields of papers citing papers by Gregory C. Patton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory C. Patton. 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 Gregory C. Patton. The network helps show where Gregory C. Patton may publish in the future.

Co-authorship network of co-authors of Gregory C. Patton

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory C. Patton. A scholar is included among the top collaborators of Gregory C. Patton 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 Gregory C. Patton. Gregory C. Patton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Rosenberg, Masha M., et al.. (2020). Enzyme–Substrate–Cofactor Dynamical Networks Revealed by High-Resolution Field Cycling Relaxometry. Biochemistry. 59(25). 2359–2370. 1 indexed citations

Zhang, Yinhua, Guoping Ren, Jackson Buss, et al.. (2020). Enhancing Colorimetric Loop-mediated Isothermal Amplification Speed and Sensitivity with Guanidine Chloride. BioTechniques. 69(3). 178–185. 141 indexed citations

Patton, Gregory C., Pål Stenmark, Deviprasad R. Gollapalli, et al.. (2011). Cofactor mobility determines reaction outcome in the IMPDH and GMPR (β-α)8 barrel enzymes. Nature Chemical Biology. 7(12). 950–958. 30 indexed citations

Patton, Gregory C., Moushumi Paul, Lisa E. Cooper, Champak Chatterjee, & Wilfred A. van der Donk. (2008). The Importance of the Leader Sequence for Directing Lanthionine Formation in Lacticin 481. Biochemistry. 47(28). 7342–7351. 71 indexed citations

Levengood, Matthew R., Gregory C. Patton, & Wilfred A. van der Donk. (2007). The Leader Peptide Is Not Required for Post-Translational Modification by Lacticin 481 Synthetase. Journal of the American Chemical Society. 129(34). 10314–10315. 43 indexed citations

Paul, Moushumi, Gregory C. Patton, & Wilfred A. van der Donk. (2007). Mutants of the Zinc Ligands of Lacticin 481 Synthetase Retain Dehydration Activity but Have Impaired Cyclization Activity. Biochemistry. 46(21). 6268–6276. 62 indexed citations

Chatterjee, Champak, Gregory C. Patton, Lisa E. Cooper, Moushumi Paul, & Wilfred A. van der Donk. (2006). Engineering Dehydro Amino Acids and Thioethers into Peptides Using Lacticin 481 Synthetase. Chemistry & Biology. 13(10). 1109–1117. 75 indexed citations

Patton, Gregory C. & Wilfred A. van der Donk. (2005). New developments in lantibiotic biosynthesis and mode of action. Current Opinion in Microbiology. 8(5). 543–551. 42 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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