Gregory J. Phillips

5.8k total citations · 1 hit paper
93 papers, 4.5k citations indexed

About

Gregory J. Phillips is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Gregory J. Phillips has authored 93 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Molecular Biology, 35 papers in Genetics and 15 papers in Ecology. Recurrent topics in Gregory J. Phillips's work include Bacterial Genetics and Biotechnology (30 papers), RNA and protein synthesis mechanisms (24 papers) and Gut microbiota and health (21 papers). Gregory J. Phillips is often cited by papers focused on Bacterial Genetics and Biotechnology (30 papers), RNA and protein synthesis mechanisms (24 papers) and Gut microbiota and health (21 papers). Gregory J. Phillips collaborates with scholars based in United States, Sweden and United Kingdom. Gregory J. Phillips's co-authors include Thomas J. Silhavy, Ross Dalbey, Diane F. Birt, Kimberly S. Reece, Alexandra Proctor, Diane I. Schroeder, Minyong Chen, James C. Samuelson, Feng‐Lei Jiang and Jay‐lin Jane and has published in prestigious journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Gregory J. Phillips

91 papers receiving 4.4k citations

Hit Papers

Resistant Starch: Promise for Improving Human Health 2013 2026 2017 2021 2013 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gregory J. Phillips United States 34 2.9k 1.6k 701 567 515 93 4.5k
Michael E. Quigley United Kingdom 10 2.2k 0.8× 1.2k 0.7× 579 0.8× 749 1.3× 480 0.9× 12 4.3k
Scott N. Peterson United States 44 3.8k 1.3× 1.3k 0.8× 757 1.1× 345 0.6× 482 0.9× 111 6.4k
Ezio Ricca Italy 40 2.4k 0.8× 1.2k 0.8× 1.6k 2.3× 342 0.6× 1.1k 2.1× 135 4.6k
Anthony J. Clarke Canada 41 2.2k 0.8× 1.0k 0.6× 737 1.1× 300 0.5× 466 0.9× 140 4.7k
Mark A. McIntosh United States 29 1.6k 0.6× 1.1k 0.7× 380 0.5× 287 0.5× 185 0.4× 67 3.1k
Karina B. Xavier Portugal 33 4.1k 1.4× 1.7k 1.1× 671 1.0× 184 0.3× 580 1.1× 60 5.4k
Stuart J. Cordwell Australia 49 4.0k 1.4× 650 0.4× 795 1.1× 176 0.3× 454 0.9× 137 6.7k
Kaneyoshi Yamamoto Japan 33 2.8k 1.0× 2.0k 1.3× 716 1.0× 279 0.5× 375 0.7× 96 4.1k
Peter A. Lund United Kingdom 36 2.3k 0.8× 676 0.4× 325 0.5× 219 0.4× 418 0.8× 99 4.0k
Kirsten Jung Germany 45 4.7k 1.6× 2.6k 1.6× 797 1.1× 124 0.2× 305 0.6× 192 7.0k

Countries citing papers authored by Gregory J. Phillips

Since Specialization
Citations

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

Fields of papers citing papers by Gregory J. Phillips

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gregory J. Phillips

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory J. Phillips. A scholar is included among the top collaborators of Gregory J. Phillips 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 J. Phillips. Gregory J. Phillips 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.
Abdalla, Ahmed N., Benjamin Schneider, Manikandan Samidurai, et al.. (2025). Bioengineered gut bacterium synthesizing levodopa alleviates motor deficits in models of Parkinson’s disease. Cell Host & Microbe. 33(11). 1837–1854.e13.
2.
Uthaman, Saji, Ansuja Pulickal Mathew, Belén Hernández, et al.. (2024). Inhibiting the cGAS-STING Pathway in Ulcerative Colitis with Programmable Micelles. ACS Nano. 18(19). 12117–12133. 24 indexed citations
3.
Mendonça, Aubrey F., Gregory J. Phillips, Terri D. Boylston, et al.. (2024). Long-term-survival phase cells of Salmonella enteritidis ATCC 13076 exhibit significantly greater tolerance to atmospheric cold plasma treatment of shell eggs. SHILAP Revista de lepidopterología. 4.
4.
Proctor, Alexandra, et al.. (2024). A single rare σ70 variant establishes a unique gene expression pattern in the E. coli pathobiont LF82. Nucleic Acids Research. 52(19). 11552–11570. 1 indexed citations
6.
Proctor, Alexandra, Tanner Richie, Sonny T. M. Lee, et al.. (2022). Resources to Facilitate Use of the Altered Schaedler Flora (ASF) Mouse Model to Study Microbiome Function. mSystems. 7(5). e0029322–e0029322. 4 indexed citations
7.
Hernández, Belén, Chandra S. Tangudu, Auriel A. Willette, et al.. (2022). Clostridioides difficile Infection Dysregulates Brain Dopamine Metabolism. Microbiology Spectrum. 10(2). e0007322–e0007322. 18 indexed citations
8.
Pierre, Joseph F., Gregory J. Phillips, Lawrance C. Chandra, et al.. (2021). Lyticase Facilitates Mycobiome Resolution Without Disrupting Microbiome Fidelity in Primates. Journal of Surgical Research. 267. 336–341. 4 indexed citations
10.
Proctor, Alexandra, et al.. (2021). Neonatal Piglets Are Protected from Clostridioides difficile Infection by Age-Dependent Increase in Intestinal Microbial Diversity. Microbiology Spectrum. 9(2). e0124321–e0124321. 3 indexed citations
11.
Ramer‐Tait, Amanda E., Jan S. Suchodolski, Jesse M. Hostetter, et al.. (2021). Temporal Dynamics of Chronic Inflammation on the Cecal Microbiota in IL-10-/- Mice. Frontiers in Immunology. 11. 585431–585431. 7 indexed citations
12.
Rollins, Derrick K., Thomas J. Mansell, Albert E. Jergens, et al.. (2020). TNFα regulates intestinal organoids from mice with both defined and conventional microbiota. International Journal of Biological Macromolecules. 164. 548–556. 8 indexed citations
13.
Birt, Diane F., Terri D. Boylston, Suzanne Hendrich, et al.. (2013). Resistant Starch: Promise for Improving Human Health. Advances in Nutrition. 4(6). 587–601. 652 indexed citations breakdown →
14.
Miller, L. L., et al.. (2010). DraGnET: Software for storing, managing and analyzing annotated draft genome sequence data. BMC Bioinformatics. 11(1). 100–100. 3 indexed citations
15.
Phillips, Gregory J., et al.. (2008). New pSC101-derivative cloning vectors with elevated copy numbers. Plasmid. 59(3). 193–201. 34 indexed citations
16.
Casavant, N. Carol, et al.. (2003). Use of a site‐specific recombination‐based biosensor for detecting bioavailable toluene and related compounds on roots. Environmental Microbiology. 5(4). 238–249. 48 indexed citations
17.
Phillips, Gregory J.. (2001). Green fluorescent protein â a bright idea for the study of bacterial protein localization. FEMS Microbiology Letters. 204(1). 9–18. 67 indexed citations
18.
Platt, Ratree, et al.. (2000). Genetic System for Reversible Integration of DNA Constructs and lacZ Gene Fusions into the Escherichia coli Chromosome. Plasmid. 43(1). 12–23. 97 indexed citations
19.
Gier, Jan‐Willem L. de, et al.. (1996). Assembly of a cytoplasmic membrane protein in Escherichia coli is dependent on the signal recognition particle. FEBS Letters. 399(3). 307–309. 134 indexed citations
20.
Reece, Kimberly S. & Gregory J. Phillips. (1995). New plasmids carrying antibiotic-resistance cassettes. Gene. 165(1). 141–142. 136 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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