Jamie A. Meadows

428 total citations
10 papers, 301 citations indexed

About

Jamie A. Meadows is a scholar working on Molecular Biology, Molecular Medicine and Genetics. According to data from OpenAlex, Jamie A. Meadows has authored 10 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Molecular Medicine and 4 papers in Genetics. Recurrent topics in Jamie A. Meadows's work include Bacterial Genetics and Biotechnology (4 papers), Antibiotic Resistance in Bacteria (4 papers) and Metabolism and Genetic Disorders (2 papers). Jamie A. Meadows is often cited by papers focused on Bacterial Genetics and Biotechnology (4 papers), Antibiotic Resistance in Bacteria (4 papers) and Metabolism and Genetic Disorders (2 papers). Jamie A. Meadows collaborates with scholars based in United States and United Kingdom. Jamie A. Meadows's co-authors include Matthew J. Wargo, Ken J. Hampel, Liam F. Fitzsimmons, Annette E. LaBauve, Julie Schwedock, Rebecca Dragovic, Michael Waddington, Blake A. Simmons, Eszter Dombi and Jennifer H. Southcombe and has published in prestigious journals such as PLoS ONE, Applied and Environmental Microbiology and Journal of Bacteriology.

In The Last Decade

Jamie A. Meadows

10 papers receiving 298 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jamie A. Meadows United States	7	188	47	40	35	33	10	301
Magali Jaillard France	10	292 1.6×	48 1.0×	19 0.5×	57 1.6×	22 0.7×	14	456
Simona N. Barile Italy	10	207 1.1×	14 0.3×	34 0.8×	28 0.8×	46 1.4×	18	361
Vera H. Fengler Austria	8	212 1.1×	24 0.5×	54 1.4×	37 1.1×	44 1.3×	14	386
Yunyun Geng China	11	180 1.0×	8 0.2×	53 1.3×	24 0.7×	24 0.7×	20	373
Truc Thanh Luong South Korea	12	214 1.1×	10 0.2×	56 1.4×	34 1.0×	21 0.6×	19	401
Blanche L. Fields United States	6	274 1.5×	12 0.3×	36 0.9×	81 2.3×	42 1.3×	7	374
M. Ramírez-Boo Spain	9	161 0.9×	42 0.9×	61 1.5×	39 1.1×	3 0.1×	11	382
Jianming Zeng China	14	221 1.2×	28 0.6×	28 0.7×	91 2.6×	65 2.0×	40	552
Gabriela Bukovská Slovakia	11	272 1.4×	78 1.7×	17 0.4×	115 3.3×	106 3.2×	36	507
Zhi‐Jie Xia China	13	258 1.4×	11 0.2×	49 1.2×	40 1.1×	47 1.4×	31	449

Countries citing papers authored by Jamie A. Meadows

Since Specialization

Citations

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

Fields of papers citing papers by Jamie A. Meadows

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jamie A. Meadows. 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 Jamie A. Meadows. The network helps show where Jamie A. Meadows may publish in the future.

Co-authorship network of co-authors of Jamie A. Meadows

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

All Works

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10 of 10 papers shown

Rodriguez, Alberto, Jamie A. Meadows, Ning Sun, Blake A. Simmons, & John M. Gladden. (2021). Evaluation of bacterial hosts for conversion of lignin-derived p-coumaric acid to 4-vinylphenol. Microbial Cell Factories. 20(1). 181–181. 20 indexed citations

Dragovic, Rebecca, Eszter Dombi, Ginny Mounce, et al.. (2019). In vitro decidualisation of human endometrial stromal cells is enhanced by seminal fluid extracellular vesicles. Journal of Extracellular Vesicles. 8(1). 1565262–1565262. 53 indexed citations

Meadows, Jamie A., Graham G. Willsey, & Matthew J. Wargo. (2018). Differential requirements for processing and transport of short-chain versus long-chain O-acylcarnitines in Pseudomonas aeruginosa. Microbiology. 164(4). 635–645. 3 indexed citations

Meadows, Jamie A. & Matthew J. Wargo. (2018). Transcriptional Regulation of Carnitine Catabolism in Pseudomonas aeruginosa by CdhR. mSphere. 3(1). 10 indexed citations

Meadows, Jamie A. & Matthew J. Wargo. (2015). Carnitine in bacterial physiology and metabolism. Microbiology. 161(6). 1161–1174. 136 indexed citations

Meadows, Jamie A. & Matthew J. Wargo. (2013). Characterization of Pseudomonas aeruginosa Growth on O -Acylcarnitines and Identification of a Short-Chain Acylcarnitine Hydrolase. Applied and Environmental Microbiology. 79(11). 3355–3363. 16 indexed citations

Hampel, Ken J., et al.. (2013). Characterization of the GbdR Regulon in Pseudomonas aeruginosa. Journal of Bacteriology. 196(1). 7–15. 31 indexed citations

Meadows, Jamie A. & Matthew J. Wargo. (2013). Catabolism of Host‐Derived Compounds During Extracellular Bacterial Infections. Journal of Cellular Biochemistry. 115(2). 217–223. 1 indexed citations

London, Roanna, et al.. (2010). An Automated System for Rapid Non-Destructive Enumeration of Growing Microbes. PLoS ONE. 5(1). e8609–e8609. 30 indexed citations

10.

Sage, Andrew P., et al.. (2006). A Rapid and Nondestructive Method for Microbiological Testing in Pharmaceutical Manufacturing. 1 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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