Paul D. Shaw
- Molecular Biology top 10%
- Plant Science top 5%
- Genetics top 10%
- Endocrinology top 2%
- Ecology top 10%
- Co-authors
- Ping GaoStephen K. FarrandYu-Ching ChenKenneth L. RinehartJohn E. CronanLowell P. HagerRichard H. HagemanIngyu Hwang
- Topics
- Microbial Natural Products and Biosynthesis (5 papers)Plant Pathogenic Bacteria Studies (4 papers)Enzyme Catalysis and Immobilization (3 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyApplied and Environmental Microbiology
- Partner nations
- United StatesItalyGermany
In The Last Decade
Paul D. Shaw
25 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Molecular Biology 1.1k
- Plant Science 630
- Genetics 319
- Endocrinology 209
- Ecology 157
Countries citing papers authored by Paul D. Shaw
This map shows the geographic impact of Paul D. Shaw'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 Paul D. Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul D. Shaw more than expected).
Fields of papers citing papers by Paul D. Shaw
This network shows the impact of papers produced by Paul D. Shaw. 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 Paul D. Shaw. The network helps show where Paul D. Shaw may publish in the future.
Co-authorship network of co-authors of Paul D. Shaw
This figure shows the co-authorship network connecting the top 25 collaborators of Paul D. Shaw. A scholar is included among the top collaborators of Paul D. Shaw 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 Paul D. Shaw. Paul D. Shaw is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | The eternal letter : two millennia of the classical Roman capital | 2 |
| 2 | Detecting and characterizing N -acyl-homoserine lactone signal molecules by thin-layer chromatographybreakdown → | 656 |
| 3 | 8 | |
| 4 | 35 | |
| 5 | 15 | |
| 6 | 8 | |
| 7 | 10 | |
| 8 | 52 | |
| 9 | 24 | |
| 10 | 31 | |
| 11 | 25 | |
| 12 | 16 | |
| 13 | 22 | |
| 14 | 22 | |
| 15 | 86 | |
| 16 | 16 | |
| 17 | 21 | |
| 18 | 17 | |
| 19 | 2 | |
| 20 | 14 |
About Paul D. Shaw
Paul D. Shaw is a scholar working on Pharmacology, Clinical Biochemistry and Computer Graphics and Computer-Aided Design, having authored 25 papers that have together received 1.7k indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (5 papers), Plant Pathogenic Bacteria Studies (4 papers) and Enzyme Catalysis and Immobilization (3 papers). The work is most often cited by research in Endocrinology (209 citations), Molecular Medicine (126 citations) and Plant Science (630 citations). Paul D. Shaw has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Ping Gao, Stephen K. Farrand, Yu-Ching Chen, Kenneth L. Rinehart, John E. Cronan, Lowell P. Hager, Richard H. Hageman, Ingyu Hwang, Sungmin Lim and Kenneth L. Rinehart. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Applied and Environmental Microbiology.
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.