George H. Jones

2.9k total citations
101 papers, 2.4k citations indexed

About

George H. Jones is a scholar working on Molecular Biology, Pharmacology and Organic Chemistry. According to data from OpenAlex, George H. Jones has authored 101 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Molecular Biology, 32 papers in Pharmacology and 13 papers in Organic Chemistry. Recurrent topics in George H. Jones's work include RNA and protein synthesis mechanisms (42 papers), Microbial Natural Products and Biosynthesis (32 papers) and Chemical Synthesis and Analysis (17 papers). George H. Jones is often cited by papers focused on RNA and protein synthesis mechanisms (42 papers), Microbial Natural Products and Biosynthesis (32 papers) and Chemical Synthesis and Analysis (17 papers). George H. Jones collaborates with scholars based in United States, Mexico and United Kingdom. George H. Jones's co-authors include Clinton E. Ballou, Ben F. Luisi, Martyn F. Symmons, Lı́gia O. Martins, Teresa Costa, Manuela M. Pereira, Adriano O. Henriques, Miguel Teixeira, Cláudio M. Soares and David A. Hopwood and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Applied and Environmental Microbiology.

In The Last Decade

George H. Jones

99 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
George H. Jones United States 26 1.6k 634 471 449 405 101 2.4k
Makari Yamasaki Japan 32 1.4k 0.9× 484 0.8× 242 0.5× 733 1.6× 340 0.8× 126 2.5k
Ramón I. Santamaría Spain 26 1.3k 0.8× 606 1.0× 762 1.6× 732 1.6× 367 0.9× 64 2.1k
Kazuo Izaki Japan 24 1.2k 0.7× 372 0.6× 331 0.7× 308 0.7× 285 0.7× 146 2.2k
Clare E. M. Stevenson United Kingdom 31 1.2k 0.8× 714 1.1× 240 0.5× 258 0.6× 195 0.5× 77 2.1k
Kunimoto Hotta Japan 23 1.1k 0.7× 279 0.4× 749 1.6× 253 0.6× 187 0.5× 73 2.0k
J Crouzet France 31 2.2k 1.4× 282 0.4× 471 1.0× 170 0.4× 494 1.2× 48 2.8k
Hiroshi Tsujibo Japan 34 1.9k 1.2× 841 1.3× 435 0.9× 1.2k 2.6× 128 0.3× 140 3.0k
Georg Thierbach Germany 17 2.3k 1.5× 897 1.4× 231 0.5× 207 0.5× 564 1.4× 21 3.5k
Mark S. B. Paget United Kingdom 25 2.2k 1.4× 292 0.5× 771 1.6× 157 0.3× 1.0k 2.5× 27 3.0k
Masatoshi Goto Japan 26 1.3k 0.8× 584 0.9× 186 0.4× 721 1.6× 154 0.4× 116 2.4k

Countries citing papers authored by George H. Jones

Since Specialization
Citations

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

Fields of papers citing papers by George H. Jones

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by George H. Jones. 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 George H. Jones. The network helps show where George H. Jones may publish in the future.

Co-authorship network of co-authors of George H. Jones

This figure shows the co-authorship network connecting the top 25 collaborators of George H. Jones. A scholar is included among the top collaborators of George H. Jones 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 George H. Jones. George H. Jones 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.
Jones, George H.. (2023). Streptomyces RNases – Function and impact on antibiotic synthesis. Frontiers in Microbiology. 14. 1096228–1096228. 3 indexed citations
2.
Ramos-López, Miguel Ángel, et al.. (2022). Insights into the Bacterial Diversity and Detection of Opportunistic Pathogens in Mexican Chili Powder. Microorganisms. 10(8). 1677–1677. 5 indexed citations
3.
Ramos-López, Miguel Ángel, et al.. (2021). Detection of Bacillus cereus sensu lato Isolates Posing Potential Health Risks in Mexican Chili Powder. Microorganisms. 9(11). 2226–2226. 9 indexed citations
4.
Flores, José Luis Hernández, et al.. (2020). Phylogenetic Analysis of Bacillus cereus sensu lato Isolates from Commercial Bee Pollen Using tRNACys-PCR. Microorganisms. 8(4). 524–524. 7 indexed citations
5.
Flores, José Luis Hernández, et al.. (2020). Characterization of microbial communities in commercial bee pollen used for mass rearing of Bombus impatiens. Journal of Apicultural Research. 60(5). 678–682.
6.
Campos‐Guillén, Juan, et al.. (2019). Analysis of tRNACys processing in the absence of CCAase in Bacillus subtilis. Brazilian Journal of Microbiology. 50(3). 613–618. 1 indexed citations
7.
Flores, José Luis Hernández, Miguel Ángel Ramos-López, Andrés Cruz–Hernández, et al.. (2019). Evaluation of the presence of Paenibacillus larvae in commercial bee pollen using PCR amplification of the gene for tRNACys. Brazilian Journal of Microbiology. 50(2). 471–480. 9 indexed citations
8.
Cruz–Hernández, Andrés, et al.. (2018). Microbial Diversity in Commercial Bee Pollen from Europe, Chile, and Mexico, Based on 16S rRNA Gene Amplicon Metagenome Sequencing. Genome Announcements. 6(20). 7 indexed citations
9.
10.
Ramos-López, Miguel Ángel, et al.. (2016). Identification by MALDI-TOF Mass Spectrometry of Mercury-resistant Bacteria Associated with the Rhizosphere of an Apple Orchard. Geomicrobiology Journal. 34(2). 176–182. 6 indexed citations
11.
Jones, George H., et al.. (2014). SCO5745, a Bifunctional RNase J Ortholog, Affects Antibiotic Production in Streptomyces coelicolor. Journal of Bacteriology. 196(6). 1197–1205. 13 indexed citations
12.
Jones, George H.. (2011). Integrative, xylE-based promoter probe vectors for use in Streptomyces. Plasmid. 65(3). 219–225. 4 indexed citations
13.
Jones, George H., et al.. (2011). RNase III-Dependent Expression of the rpsO-pnp Operon of Streptomyces coelicolor. Journal of Bacteriology. 193(17). 4371–4379. 15 indexed citations
14.
Mackie, George A., et al.. (2007). Kinetics of Polynucleotide Phosphorylase: Comparison of Enzymes from Streptomyces and Escherichia coli and Effects of Nucleoside Diphosphates. Journal of Bacteriology. 190(1). 98–106. 10 indexed citations
15.
Jones, George H., et al.. (2003). Overexpression and purification of untagged polynucleotide phosphorylases. Protein Expression and Purification. 32(2). 202–209. 15 indexed citations
16.
Jones, George H., et al.. (2001). Transcriptional analysis and regulation of the sigma-E gene of Streptomyces antibioticus. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1517(3). 410–415. 1 indexed citations
17.
Hsieh, Chia‐Ju & George H. Jones. (1995). Nucleotide sequence, transcriptional analysis, and glucose regulation of the phenoxazinone synthase gene (phsA) from Streptomyces antibioticus. Journal of Bacteriology. 177(20). 5740–5747. 28 indexed citations
18.
Ochi, Kozo, et al.. (1991). Pleiotropic effects of a relC mutation in Streptomyces antibioticus. Journal of Bacteriology. 173(7). 2297–2300. 27 indexed citations
19.
Jones, George H. & David A. Hopwood. (1984). Molecular cloning and expression of the phenoxazinone synthase gene from Streptomyces antibioticus.. Journal of Biological Chemistry. 259(22). 14151–14157. 54 indexed citations
20.
Jones, George H.. (1973). A protein related to immunoglobulin light chain detected in mouse myeloma cells. Biochemical and Biophysical Research Communications. 51(1). 88–93. 3 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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