Jonathan R. Goodson

784 total citations
19 papers, 571 citations indexed

About

Jonathan R. Goodson is a scholar working on Molecular Biology, Neurology and Genetics. According to data from OpenAlex, Jonathan R. Goodson has authored 19 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Neurology and 5 papers in Genetics. Recurrent topics in Jonathan R. Goodson's work include RNA and protein synthesis mechanisms (6 papers), Neurological diseases and metabolism (5 papers) and Bacterial Genetics and Biotechnology (5 papers). Jonathan R. Goodson is often cited by papers focused on RNA and protein synthesis mechanisms (6 papers), Neurological diseases and metabolism (5 papers) and Bacterial Genetics and Biotechnology (5 papers). Jonathan R. Goodson collaborates with scholars based in United States, Russia and Germany. Jonathan R. Goodson's co-authors include Wade C. Winkler, J. H. Cline, W. J. Tyznik, B. A. Dehority, Danielle A. Garsin, John B. Allred, Arati Ramesh, Sruti DebRoy, Vincent T. Lee and Melissa R. Cruz and has published in prestigious journals such as Science, Nature Communications and Journal of Molecular Biology.

In The Last Decade

Jonathan R. Goodson

19 papers receiving 558 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan R. Goodson United States 12 385 173 78 71 71 19 571
Xiang Ma China 11 355 0.9× 85 0.5× 73 0.9× 46 0.6× 53 0.7× 51 651
Jianmin Zou China 17 178 0.5× 124 0.7× 40 0.5× 44 0.6× 54 0.8× 50 824
M. B. McDonagh Australia 18 205 0.5× 305 1.8× 82 1.1× 156 2.2× 10 0.1× 35 988
Shengyue Ji China 14 291 0.8× 83 0.5× 43 0.6× 79 1.1× 6 0.1× 26 545
Ghazanfar Abbas Pakistan 15 121 0.3× 59 0.3× 70 0.9× 12 0.2× 13 0.2× 43 520
B M Mannarelli United States 10 311 0.8× 113 0.7× 82 1.1× 21 0.3× 13 0.2× 11 532
Sam Woong Kim South Korea 14 252 0.7× 67 0.4× 85 1.1× 12 0.2× 69 1.0× 48 614
Marleen Boerjan Netherlands 15 311 0.8× 175 1.0× 20 0.3× 78 1.1× 46 0.6× 33 942
Devon Radford Canada 12 263 0.7× 54 0.3× 317 4.1× 13 0.2× 51 0.7× 21 537
Edvaldo Barros Brazil 12 139 0.4× 50 0.3× 21 0.3× 30 0.4× 5 0.1× 33 320

Countries citing papers authored by Jonathan R. Goodson

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan R. Goodson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan R. Goodson. 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 Jonathan R. Goodson. The network helps show where Jonathan R. Goodson may publish in the future.

Co-authorship network of co-authors of Jonathan R. Goodson

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

All Works

19 of 19 papers shown
1.
Goodson, Jonathan R., et al.. (2021). A NusG Specialized Paralog That Exhibits Specific, High-Affinity RNA-Binding Activity. Journal of Molecular Biology. 433(15). 167100–167100. 4 indexed citations
2.
Fromme, J. Christopher, et al.. (2021). Structural characterization of NrnC identifies unifying features of dinucleases. eLife. 10. 10 indexed citations
3.
Goodson, Jonathan R., et al.. (2020). An autoinhibitory mechanism controls RNA‐binding activity of the nitrate‐sensing protein NasR. Molecular Microbiology. 114(2). 348–360. 6 indexed citations
4.
Kaval, Karan Gautam, et al.. (2019). Ethanolamine Utilization and Bacterial Microcompartment Formation Are Subject to Carbon Catabolite Repression. Journal of Bacteriology. 201(10). 14 indexed citations
5.
Goodson, Jonathan R. & Wade C. Winkler. (2018). Processive Antitermination. Microbiology Spectrum. 6(5). 21 indexed citations
6.
Cole, Stephanie, Cherisse L. Hall, John M. Farrow, et al.. (2018). Host suppression of quorum sensing during catheter-associated urinary tract infections. Nature Communications. 9(1). 4436–4436. 29 indexed citations
7.
Goodson, Jonathan R., et al.. (2017). LoaP is a broadly conserved antiterminator protein that regulates antibiotic gene clusters in Bacillus amyloliquefaciens. Nature Microbiology. 2(5). 17003–17003. 41 indexed citations
8.
Roelofs, Kevin, Christopher J. Jones, Sarah R. Helman, et al.. (2015). Systematic Identification of Cyclic-di-GMP Binding Proteins in Vibrio cholerae Reveals a Novel Class of Cyclic-di-GMP-Binding ATPases Associated with Type II Secretion Systems. PLoS Pathogens. 11(10). e1005232–e1005232. 92 indexed citations
9.
Wakeman, Catherine A., Jonathan R. Goodson, Vineetha M. Zacharia, & Wade C. Winkler. (2014). Assessment of the Requirements for Magnesium Transporters in Bacillus subtilis. Journal of Bacteriology. 196(6). 1206–1214. 32 indexed citations
10.
Shin, Jung‐Ho, Catherine A. Wakeman, Jonathan R. Goodson, et al.. (2014). Transport of Magnesium by a Bacterial Nramp-Related Gene. PLoS Genetics. 10(6). e1004429–e1004429. 28 indexed citations
11.
DebRoy, Sruti, Arati Ramesh, Jonathan R. Goodson, et al.. (2014). A riboswitch-containing sRNA controls gene expression by sequestration of a response regulator. Science. 345(6199). 937–940. 97 indexed citations
12.
Ramesh, Arati, et al.. (2012). The Mechanism for RNA Recognition by ANTAR Regulators of Gene Expression. PLoS Genetics. 8(6). e1002666–e1002666. 44 indexed citations
13.
Goodson, Jonathan R., W. J. Tyznik, J. H. Cline, & B. A. Dehority. (1988). Effects of an abrupt diet change from hay to concentrate on microbial numbers and physical environment in the cecum of the pony. Applied and Environmental Microbiology. 54(8). 1946–1950. 90 indexed citations
14.
Goodson, Jonathan R., et al.. (1987). Determination of the quantity of acetyl CoA carboxylase by [14C]methyl avidin binding. Journal of Lipid Research. 28(5). 599–604. 10 indexed citations
15.
Allred, John B., et al.. (1985). Dietary dependent distribution of acetyl CoA carboxylase between cytoplasm and mitochondria of rat liver. Biochemical and Biophysical Research Communications. 129(2). 453–460. 16 indexed citations
16.
Goodson, Jonathan R., et al.. (1984). Molecular weights of subunits of acetyl CoA carboxylase in rat liver cytoplasm. Biochemical and Biophysical Research Communications. 122(2). 694–699. 17 indexed citations
17.
Allred, John B., et al.. (1983). Regulation of purified rat liver acetyl CoA carboxylase by phosphorylation. Journal of Lipid Research. 24(4). 449–455. 11 indexed citations
18.
Allred, John B. & Jonathan R. Goodson. (1982). Does pyruvate carboxylase interfere with the radioactive bicarbonate fixation assay of acetyl-CoA carboxylase?. Biochemical Journal. 208(1). 247–248. 7 indexed citations
19.
Goodson, Jonathan R.. (1981). Effects of an abrupt change in ration, from all forage to all concentrate, on the microbial populations and ecology of the pony cecum /. OhioLink ETD Center (Ohio Library and Information Network). 2 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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