Jack D. Newman

5.5k total citations · 2 hit papers
24 papers, 4.2k citations indexed

About

Jack D. Newman is a scholar working on Molecular Biology, Pharmacology and Genetics. According to data from OpenAlex, Jack D. Newman has authored 24 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 9 papers in Pharmacology and 6 papers in Genetics. Recurrent topics in Jack D. Newman's work include Plant biochemistry and biosynthesis (11 papers), Microbial Metabolic Engineering and Bioproduction (10 papers) and Microbial Natural Products and Biosynthesis (9 papers). Jack D. Newman is often cited by papers focused on Plant biochemistry and biosynthesis (11 papers), Microbial Metabolic Engineering and Bioproduction (10 papers) and Microbial Natural Products and Biosynthesis (9 papers). Jack D. Newman collaborates with scholars based in United States, Canada and Denmark. Jack D. Newman's co-authors include Jay D. Keasling, Douglas J. Pitera, Vincent J. J. Martin, Sydnor T. Withers, Christopher J. Paddon, Larry C. Anthony, Jennifer R. Anthony, Diana G. Eng, Farnaz Nowroozi and Tizita Horning and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Biotechnology and PLoS ONE.

In The Last Decade

Jack D. Newman

24 papers receiving 4.1k 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.

Engineering a mevalonate pathway in Escherichia coli for production of terpenoids

2003 1.3k citations Vincent J. J. Martin, Douglas J. Pitera et al. Nature Biotechnology profile →
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 →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jack D. Newman United States	19	4.0k	1.1k	541	419	359	24	4.2k
Sydnor T. Withers United States	8	3.5k 0.9×	1.0k 1.0×	466 0.9×	394 0.9×	180 0.5×	9	3.8k
Keith E. J. Tyo United States	29	4.3k 1.1×	929 0.9×	844 1.6×	522 1.2×	380 1.1×	70	4.9k
Christopher J. Paddon United States	22	3.0k 0.7×	614 0.6×	382 0.7×	328 0.8×	459 1.3×	29	3.5k
Douglas J. Pitera United States	8	2.9k 0.7×	774 0.7×	410 0.8×	293 0.7×	208 0.6×	8	3.0k
Zixin Deng China	34	2.5k 0.6×	951 0.9×	387 0.7×	340 0.8×	137 0.4×	77	3.2k
Mario Ouellet United States	13	3.2k 0.8×	697 0.7×	950 1.8×	314 0.7×	157 0.4×	16	3.6k
Tiangang Liu China	39	3.4k 0.9×	1.3k 1.3×	780 1.4×	438 1.0×	106 0.3×	116	4.2k
Tokuzo Nishino Japan	37	3.2k 0.8×	671 0.6×	167 0.3×	413 1.0×	109 0.3×	138	3.9k
J. Andrew Jones United States	20	2.0k 0.5×	278 0.3×	499 0.9×	302 0.7×	226 0.6×	39	2.4k
Uffe Hasbro Mortensen Denmark	40	5.0k 1.3×	1.4k 1.3×	465 0.9×	753 1.8×	330 0.9×	111	5.9k

Countries citing papers authored by Jack D. Newman

Since Specialization

Citations

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

Fields of papers citing papers by Jack D. Newman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jack D. Newman. 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 Jack D. Newman. The network helps show where Jack D. Newman may publish in the future.

Co-authorship network of co-authors of Jack D. Newman

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Brown, Anna M., et al.. (2024). Stearic Acid-Infused PDMS PolyMIPEs Exhibiting Shape Memory Behavior. Macromolecules. 57(14). 6796–6804. 1 indexed citations

Walter, Jessica M., Max G. Schubert, Stephanie H. Kung, et al.. (2019). Method for Multiplexed Integration of Synergistic Alleles and Metabolic Pathways in Yeasts via CRISPR-Cas9. Methods in molecular biology. 2049. 39–72. 1 indexed citations

Kirby, James, Rossana Chan, Eugene Antipov, et al.. (2016). Engineering a functional 1-deoxy-D-xylulose 5-phosphate (DXP) pathway in Saccharomyces cerevisiae. Metabolic Engineering. 38. 494–503. 47 indexed citations

Horwitz, Andrew A., Jessica M. Walter, Max G. Schubert, et al.. (2015). Efficient Multiplexed Integration of Synergistic Alleles and Metabolic Pathways in Yeasts via CRISPR-Cas. Cell Systems. 1(1). 88–96. 237 indexed citations

Shapland, Elaine B., Victor F. Holmes, Christopher D. Reeves, et al.. (2015). Low-Cost, High-Throughput Sequencing of DNA Assemblies Using a Highly Multiplexed Nextera Process. ACS Synthetic Biology. 4(7). 860–866. 42 indexed citations

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 →

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

Anthony, Jennifer R., Larry C. Anthony, Farnaz Nowroozi, et al.. (2008). Optimization of the mevalonate-based isoprenoid biosynthetic pathway in Escherichia coli for production of the anti-malarial drug precursor amorpha-4,11-diene. Metabolic Engineering. 11(1). 13–19. 237 indexed citations

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

10.

Withers, Sydnor T., et al.. (2007). Identification of Isopentenol Biosynthetic Genes from Bacillus subtilis by a Screening Method Based on Isoprenoid Precursor Toxicity. Applied and Environmental Microbiology. 73(19). 6277–6283. 150 indexed citations

11.

Pfleger, Brian F., Douglas J. Pitera, Jack D. Newman, Vincent J. J. Martin, & Jay D. Keasling. (2006). Microbial sensors for small molecules: Development of a mevalonate biosensor. Metabolic Engineering. 9(1). 30–38. 69 indexed citations

12.

Newman, Jack D., Jessica Marshall, Michelle C. Y. Chang, et al.. (2006). High‐level production of amorpha‐4,11‐diene in a two‐phase partitioning bioreactor of metabolically engineered Escherichia coli. Biotechnology and Bioengineering. 95(4). 684–691. 186 indexed citations

13.

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

14.

Lee, Sung Kuk, Jack D. Newman, & Jay D. Keasling. (2005). Catabolite Repression of the Propionate Catabolic Genes inEscherichia coliandSalmonella enterica: Evidence for Involvement of the Cyclic AMP Receptor Protein. Journal of Bacteriology. 187(8). 2793–2800. 50 indexed citations

15.

Anthony, Jennifer R., Jack D. Newman, & Timothy J. Donohue. (2004). Interactions Between the Rhodobacter sphaeroides ECF Sigma Factor, σ E , and its Anti-sigma Factor, ChrR. Journal of Molecular Biology. 341(2). 345–360. 52 indexed citations

16.

Yoshikuni, Yasuo, et al.. (2004). Mono and diterpene production in Escherichia coli. Biotechnology and Bioengineering. 87(2). 200–212. 126 indexed citations

17.

Newman, Jack D., Jennifer R. Anthony, & Timothy J. Donohue. (2001). The importance of zinc-binding to the function of Rhodobacter sphaeroides ChrR as an anti-sigma factor. Journal of Molecular Biology. 313(3). 485–499. 56 indexed citations

18.

Newman, Jack D., et al.. (1999). The Rhodobacter sphaeroides ECF sigma factor, σE, and the target promoters cycA P3 and rpoE P1. Journal of Molecular Biology. 294(2). 307–320. 41 indexed citations

19.

Regan, John R., Daniel McGarry, Joseph G. Bruno, et al.. (1997). Anionic- and Lipophilic-Mediated Surface Binding Inhibitors of Human Leukocyte Elastase. Journal of Medicinal Chemistry. 40(21). 3408–3422. 12 indexed citations

20.

Prior, Christopher P., Valeria Chu, John Clifford Holt, et al.. (1992). Production and Functional Characterization of a Recombinant Fragment of Von Willebrand Factor (vWF): An Antagonist to Platelet Receptor Gp Ib. Nature Biotechnology. 10(1). 66–73. 10 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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