Jack D. Newman
- Molecular Biology top 1%
- Pharmacology top 0.5%
- Biomedical Engineering top 5%
- Biotechnology top 1%
- Genetics top 5%
- Co-authors
- Jay D. KeaslingDouglas J. PiteraVincent J. J. MartinSydnor T. WithersChristopher J. PaddonLarry C. AnthonyJennifer R. AnthonyDiana G. Eng
- Topics
- Plant biochemistry and biosynthesis (11 papers)Microbial Metabolic Engineering and Bioproduction (10 papers)Microbial Natural Products and Biosynthesis (9 papers)
- Partner nations
- United StatesCanadaDenmark
In The Last Decade
Jack D. Newman
24 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Molecular Biology 4.0k
- Pharmacology 1.1k
- Biomedical Engineering 541
- Biotechnology 419
- Genetics 359
Countries citing papers authored by Jack D. Newman
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 47 | |
| 4 | 237 | |
| 5 | 42 | |
| 6 | Production of amorphadiene in yeast, and its conversion to dihydroartemisinic acid, precursor to the antimalarial agent artemisininbreakdown → | 551 |
| 7 | 278 | |
| 8 | 237 | |
| 9 | 151 | |
| 10 | 150 | |
| 11 | 69 | |
| 12 | 186 | |
| 13 | 344 | |
| 14 | 50 | |
| 15 | 52 | |
| 16 | 126 | |
| 17 | 56 | |
| 18 | 41 | |
| 19 | 12 | |
| 20 | 10 |
About Jack D. Newman
Jack D. Newman is a scholar working on Pharmacology, Molecular Biology and Biotechnology, having authored 24 papers that have together received 4.2k indexed citations. Recurring topics across this work include Plant biochemistry and biosynthesis (11 papers), Microbial Metabolic Engineering and Bioproduction (10 papers) and Microbial Natural Products and Biosynthesis (9 papers). The work is most often cited by research in Pharmacology (1.1k citations), Molecular Biology (4.0k citations) and Biotechnology (419 citations). Jack D. Newman has collaborated with scholars based in United States, Canada and Denmark. Frequent 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Biotechnology and PLoS ONE.
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.