Christopher J. Paddon

6.5k total citations · 2 hit papers
29 papers, 3.5k citations indexed

About

Christopher J. Paddon is a scholar working on Molecular Biology, Genetics and Pharmacology. According to data from OpenAlex, Christopher J. Paddon has authored 29 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 9 papers in Genetics and 7 papers in Pharmacology. Recurrent topics in Christopher J. Paddon's work include Bacterial Genetics and Biotechnology (9 papers), RNA and protein synthesis mechanisms (9 papers) and Plant biochemistry and biosynthesis (8 papers). Christopher J. Paddon is often cited by papers focused on Bacterial Genetics and Biotechnology (9 papers), RNA and protein synthesis mechanisms (9 papers) and Plant biochemistry and biosynthesis (8 papers). Christopher J. Paddon collaborates with scholars based in United States, United Kingdom and Cameroon. Christopher J. Paddon's co-authors include Jay D. Keasling, Jack D. Newman, Douglas J. Pitera, Derek McPhee, Maud M. Morshedi, John D. Helmann, Ming‐Fang Wu, Diana G. Eng, Michael D. Leavell and Robert W. Hartley and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Journal of Molecular Biology.

In The Last Decade

Christopher J. Paddon

29 papers receiving 3.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Production of amorphadiene in yeast, and its conversion to dihydroartemisinic acid, precursor to the antimalarial agent artemisinin

2012 551 citations Patrick J. Westfall, Douglas J. Pitera et al. Proceedings of the National Academy of Sciences profile →
Semi-synthetic artemisinin: a model for the use of synthetic biology in pharmaceutical development

2014 474 citations Christopher J. Paddon, Jay D. Keasling Nature Reviews Microbiology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christopher J. Paddon United States	22	3.0k	614	459	382	328	29	3.5k
Jack D. Newman United States	19	4.0k 1.3×	1.1k 1.7×	359 0.8×	541 1.4×	419 1.3×	24	4.2k
Keith E. J. Tyo United States	29	4.3k 1.5×	929 1.5×	380 0.8×	844 2.2×	522 1.6×	70	4.9k
John E. Dueber United States	32	5.6k 1.9×	538 0.9×	707 1.5×	965 2.5×	545 1.7×	44	6.4k
Hugo Gramajo Argentina	31	2.4k 0.8×	1.5k 2.4×	348 0.8×	289 0.8×	409 1.2×	92	3.3k
Harald Pichler Austria	29	3.1k 1.0×	255 0.4×	177 0.4×	455 1.2×	341 1.0×	75	3.8k
Sydnor T. Withers United States	8	3.5k 1.2×	1.0k 1.7×	180 0.4×	466 1.2×	394 1.2×	9	3.8k
Akinori Ohta Japan	42	3.7k 1.2×	403 0.7×	404 0.9×	563 1.5×	274 0.8×	155	4.7k
Jennifer Herrmann Germany	34	1.7k 0.6×	1.2k 1.9×	173 0.4×	176 0.5×	558 1.7×	139	3.3k
Alastair R. Hawkins United Kingdom	29	2.0k 0.7×	328 0.5×	436 0.9×	221 0.6×	284 0.9×	92	2.7k
Rick Rink Netherlands	32	2.2k 0.7×	641 1.0×	149 0.3×	111 0.3×	225 0.7×	47	3.0k

Countries citing papers authored by Christopher J. Paddon

Since Specialization

Citations

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

Fields of papers citing papers by Christopher J. Paddon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher J. Paddon

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

All Works

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20 of 20 papers shown

Azevedo‐Silva, João, Manuela Amorim, Pedro Sousa, et al.. (2024). Exploring yeast glucans for vaccine enhancement: Sustainable strategies for overcoming adjuvant challenges in a SARS-CoV-2 model. European Journal of Pharmaceutics and Biopharmaceutics. 205. 114538–114538. 3 indexed citations

Fisher, Karl J., Raodoh Mohamath, Tony Phan, et al.. (2023). Semi-synthetic terpenoids with differential adjuvant properties as sustainable replacements for shark squalene in vaccine emulsions. npj Vaccines. 8(1). 14–14. 18 indexed citations

Voigt, Emily A., Alana Gerhardt, Madeleine F. Jennewein, et al.. (2022). A self-amplifying RNA vaccine against COVID-19 with long-term room-temperature stability. npj Vaccines. 7(1). 136–136. 52 indexed citations

Kung, Stephanie H., et al.. (2018). Approaches and Recent Developments for the Commercial Production of Semi-synthetic Artemisinin. Frontiers in Plant Science. 9. 87–87. 66 indexed citations

Singh, Dharmendra, Derek McPhee, Christopher J. Paddon, et al.. (2017). Amalgamation of Synthetic Biology and Chemistry for High-Throughput Nonconventional Synthesis of the Antimalarial Drug Artemisinin. Organic Process Research & Development. 21(4). 551–558. 21 indexed citations

Leavell, Michael D., Derek McPhee, & Christopher J. Paddon. (2015). Developing fermentative terpenoid production for commercial usage. Current Opinion in Biotechnology. 37. 114–119. 96 indexed citations

Paddon, Christopher J. & Jay D. Keasling. (2014). Semi-synthetic artemisinin: a model for the use of synthetic biology in pharmaceutical development. Nature Reviews Microbiology. 12(5). 355–367. 474 indexed citations breakdown →

Westfall, Patrick J., Douglas J. Pitera, Diana G. Eng, et al.. (2012). Production of amorphadiene in yeast, and its conversion to dihydroartemisinic acid, precursor to the antimalarial agent artemisinin. Proceedings of the National Academy of Sciences. 109(3). 551 indexed citations breakdown →

Nijkamp, Jurgen F., Marcel van den Broek, Erwin Datema, et al.. (2012). De novo sequencing, assembly and analysis of the genome of the laboratory strain Saccharomyces cerevisiae CEN.PK113-7D, a model for modern industrial biotechnology. Microbial Cell Factories. 11(1). 36–36. 218 indexed citations

10.

Tsuruta, Hiroko, Christopher J. Paddon, Diana G. Eng, et al.. (2009). High-Level Production of Amorpha-4,11-Diene, a Precursor of the Antimalarial Agent Artemisinin, in Escherichia coli. PLoS ONE. 4(2). e4489–e4489. 278 indexed citations

11.

Ro, Dae‐Kyun, Mario Ouellet, Helcio Burd, et al.. (2008). Induction of multiple pleiotropic drug resistance genes in yeast engineered to produce an increased level of anti-malarial drug precursor, artemisinic acid. BMC Biotechnology. 8(1). 83–83. 151 indexed citations

12.

Pitera, Douglas J., Christopher J. Paddon, Jack D. Newman, & Jay D. Keasling. (2006). Balancing a heterologous mevalonate pathway for improved isoprenoid production in Escherichia coli. Metabolic Engineering. 9(2). 193–207. 344 indexed citations

13.

Cao, Min, et al.. (2002). Defining the Bacillus subtilis σW regulon: a comparative analysis of promoter consensus search, run-off transcription/macroarray analysis (ROMA), and transcriptional profiling approaches. Journal of Molecular Biology. 316(3). 443–457. 160 indexed citations

14.

Brown, Andrew J., Malcolm Whiteway, Julia H. White, et al.. (2000). Functional coupling of mammalian receptors to the yeast mating pathway using novel yeast/mammalian G protein ?-subunit chimeras. Yeast. 16(1). 11–22. 151 indexed citations

15.

Hughes, William E., Michael J. Pocklington, Elisha Orr, & Christopher J. Paddon. (1999). Mutations in theSaccharomyces cerevisiae geneSAC1 cause multiple drug sensitivity. Yeast. 15(11). 1111–1124. 21 indexed citations

16.

Paddon, Christopher J., Diego Loayza, Luca Vangelista, Roberto Solari, & Susan Michaelis. (1996). Analysis of the localization of STE6/CFTR chimeras in a Saccharomyces cerevisiae model for the cystic fibrosis defect CFTRΔF508. Molecular Microbiology. 19(5). 1007–1017. 18 indexed citations

17.

Foiani, Marco, et al.. (1993). Guanine Nucleotide Exchange Factor for Eukaryotic Translation Initiation Factor 2 in Saccharomyces cerevisiae : Interactions between the Essential Subunits GCD2, GCD6, and GCD7 and the Regulatory Subunit GCN3. Molecular and Cellular Biology. 13(8). 4618–4631. 21 indexed citations

18.

Foiani, Marco, A. Mark Cigan, Christopher J. Paddon, Satoshi Harashima, & Alan G. Hinnebusch. (1991). GCD2, a Translational Repressor of the GCN4 Gene, Has a General Function in the Initiation of Protein Synthesis in Saccharomyces cerevisiae. Molecular and Cellular Biology. 11(6). 3203–3216. 163 indexed citations

19.

Paddon, Christopher J. & A G Hinnebusch. (1989). gcd12 mutations are gcn3-dependent alleles of GCD2, a negative regulator of GCN4 in the general amino acid control of Saccharomyces cerevisiae.. Genetics. 122(3). 543–550. 21 indexed citations

20.

Paddon, Christopher J., Ernest M. Hannig, & A G Hinnebusch. (1989). Amino acid sequence similarity between GCN3 and GCD2, positive and negative translational regulators of GCN4: evidence for antagonism by competition.. Genetics. 122(3). 551–559. 32 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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