Jay L. Mellies

3.2k total citations
38 papers, 2.6k citations indexed

About

Jay L. Mellies is a scholar working on Endocrinology, Genetics and Infectious Diseases. According to data from OpenAlex, Jay L. Mellies has authored 38 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Endocrinology, 17 papers in Genetics and 15 papers in Infectious Diseases. Recurrent topics in Jay L. Mellies's work include Escherichia coli research studies (23 papers), Viral gastroenteritis research and epidemiology (15 papers) and Bacterial Genetics and Biotechnology (15 papers). Jay L. Mellies is often cited by papers focused on Escherichia coli research studies (23 papers), Viral gastroenteritis research and epidemiology (15 papers) and Bacterial Genetics and Biotechnology (15 papers). Jay L. Mellies collaborates with scholars based in United States, Mexico and France. Jay L. Mellies's co-authors include James B. Kaper, Vanessa Sperandio, Simon J. Elliott, Sooan Shin, William Nguyen, Alex Barron, Michael S. Donnenberg, Steven W. Hutcheson, Leslie A. Wainwright and Kenneth R. Haack and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Applied and Environmental Microbiology.

In The Last Decade

Jay L. Mellies

37 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jay L. Mellies United States 23 1.9k 1.1k 1.0k 695 504 38 2.6k
Aoife Boyd Ireland 24 819 0.4× 266 0.2× 1.1k 1.1× 1.2k 1.7× 272 0.5× 48 2.7k
Nereus W. Gunther United States 19 669 0.4× 236 0.2× 374 0.4× 620 0.9× 389 0.8× 43 1.6k
Neville Firth Australia 33 484 0.3× 1.2k 1.1× 819 0.8× 1.9k 2.8× 398 0.8× 60 3.9k
Kari S. Gobius Australia 24 569 0.3× 334 0.3× 191 0.2× 472 0.7× 433 0.9× 50 1.6k
Marc M. S. M. Wösten Netherlands 23 494 0.3× 395 0.4× 605 0.6× 941 1.4× 877 1.7× 48 2.2k
Begoña García Spain 15 383 0.2× 268 0.2× 296 0.3× 912 1.3× 273 0.5× 21 1.4k
Cui Tai China 20 522 0.3× 227 0.2× 415 0.4× 988 1.4× 241 0.5× 38 2.1k
M. J. Rosovitz United States 11 535 0.3× 202 0.2× 503 0.5× 933 1.3× 281 0.6× 16 1.8k
Xhavit Zogaj United States 12 519 0.3× 130 0.1× 327 0.3× 1.1k 1.5× 304 0.6× 15 1.8k
Laura J. Runyen-Janecky United States 17 630 0.3× 205 0.2× 887 0.9× 1.1k 1.6× 189 0.4× 25 2.0k

Countries citing papers authored by Jay L. Mellies

Since Specialization
Citations

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

Fields of papers citing papers by Jay L. Mellies

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay L. Mellies. 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 Jay L. Mellies. The network helps show where Jay L. Mellies may publish in the future.

Co-authorship network of co-authors of Jay L. Mellies

This figure shows the co-authorship network connecting the top 25 collaborators of Jay L. Mellies. A scholar is included among the top collaborators of Jay L. Mellies 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 Jay L. Mellies. Jay L. Mellies 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.
Ahuja, Shivani, et al.. (2025). A Cytochrome P450 Facilitates Polyethylene Metabolism in a Microbial Community. International Journal of Molecular Sciences. 26(18). 8775–8775. 1 indexed citations
2.
Campillo‐Alvarado, Gonzalo, et al.. (2024). Polymorphism control of polyethylene terephthalate (PET) degradation product via mechanochemistry leads to accelerated microbial degradation. PDXScholar (Portland State University). 1(5). 514–519. 1 indexed citations
3.
4.
Mellies, Jay L., et al.. (2023). Two-Step Chemo-Microbial Degradation of Post-Consumer Polyethylene Terephthalate (PET) Plastic Enabled by a Biomass-Waste Catalyst. Bioengineering. 10(11). 1253–1253. 11 indexed citations
5.
Scott, W. P., et al.. (2020). Myoviridae phage PDX kills enteroaggregative Escherichia coli without human microbiome dysbiosis. Journal of Medical Microbiology. 69(2). 309–323. 29 indexed citations
6.
León‐Zayas, Rosa, et al.. (2019). Draft Genome Sequences of Five Environmental Bacterial Isolates That Degrade Polyethylene Terephthalate Plastic. Microbiology Resource Announcements. 8(25). 35 indexed citations
7.
Mellies, Jay L., et al.. (2018). Environment Controls LEE Regulation in Enteropathogenic Escherichia coli. Frontiers in Microbiology. 9. 1694–1694. 31 indexed citations
8.
Mellies, Jay L., et al.. (2017). PerC Manipulates Metabolism and Surface Antigens in Enteropathogenic Escherichia coli. Frontiers in Cellular and Infection Microbiology. 7. 7 indexed citations
9.
10.
Mellies, Jay L., et al.. (2012). Zinc–induced envelope stress diminishes type III secretion in enteropathogenic Escherichia coli. BMC Microbiology. 12(1). 123–123. 23 indexed citations
11.
Mellies, Jay L., et al.. (2011). Ler of pathogenic Escherichia coli forms toroidal protein–DNA complexes. Microbiology. 157(4). 1123–1133. 23 indexed citations
12.
Mellies, Jay L., et al.. (2007). SOS Regulation of the Type III Secretion System of EnteropathogenicEscherichia coli. Journal of Bacteriology. 189(7). 2863–2872. 39 indexed citations
13.
Mellies, Jay L. & Alex Barron. (2006). Virulence Gene Regulation in Escherichia coli. EcoSal Plus. 2(1). 6 indexed citations
14.
Haack, Kenneth R., et al.. (2002). Interaction of Ler at the LEE5 ( tir ) Operon of Enteropathogenic Escherichia coli. Infection and Immunity. 71(1). 384–392. 105 indexed citations
15.
Okeke, Iruka N., et al.. (2001). Comparative Sequence Analysis of the Plasmid-Encoded Regulator of Enteropathogenic Escherichia coli Strains. Infection and Immunity. 69(9). 5553–5564. 34 indexed citations
16.
Elliott, Simon J., Efrosinia O. Krejany, Jay L. Mellies, et al.. (2001). EspG, a Novel Type III System-Secreted Protein from Enteropathogenic Escherichia coli with Similarities to VirA of Shigella flexneri. Infection and Immunity. 69(6). 4027–4033. 144 indexed citations
17.
Elliott, Simon J., Vanessa Sperandio, Jorge A. Girón, et al.. (2000). The Locus of Enterocyte Effacement (LEE)-Encoded Regulator Controls Expression of Both LEE- and Non-LEE-Encoded Virulence Factors in Enteropathogenic and Enterohemorrhagic Escherichia coli. Infection and Immunity. 68(11). 6115–6126. 290 indexed citations
18.
Sperandio, Vanessa, Jay L. Mellies, Robin M. Delahay, et al.. (2000). Activation of enteropathogenic Escherichia coli (EPEC) LEE2 and LEE3 operons by Ler. Molecular Microbiology. 38(4). 781–793. 114 indexed citations
19.
Elliott, Simon J., Steven W. Hutcheson, Jay L. Mellies, et al.. (1999). Identification of CesT, a chaperone for the type III secretion of Tir in enteropathogenicEscherichia coli. Molecular Microbiology. 33(6). 1176–1189. 159 indexed citations
20.
Boyce, Walter M., et al.. (1991). Kinetic ELISA for Detection of Antibodies to Psoroptes sp. (Acari: Psoroptidae) in Bighorn Sheep (Ovis canadensis). Journal of Parasitology. 77(5). 692–692. 17 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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