Steven G. Kendrew
- Pharmacology top 0.5%
- Molecular Biology top 10%
- Biotechnology top 1%
- Plant Science top 10%
- Organic Chemistry top 10%
- Co-authors
- C. Richard HutchinsonKarine AuclairJonathan KennedyJohn C. VederasE. Neil G. MarshDavid A. HopwoodPeter F. LeadlayBarrie Wilkinson
- Topics
- Microbial Natural Products and Biosynthesis (18 papers)Microbial Metabolism and Applications (5 papers)Carbohydrate Chemistry and Synthesis (5 papers)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Steven G. Kendrew
23 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Pharmacology 932
- Molecular Biology 809
- Biotechnology 338
- Plant Science 218
- Organic Chemistry 205
Countries citing papers authored by Steven G. Kendrew
This map shows the geographic impact of Steven G. Kendrew'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 Steven G. Kendrew with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven G. Kendrew more than expected).
Fields of papers citing papers by Steven G. Kendrew
This network shows the impact of papers produced by Steven G. Kendrew. 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 Steven G. Kendrew. The network helps show where Steven G. Kendrew may publish in the future.
Co-authorship network of co-authors of Steven G. Kendrew
This figure shows the co-authorship network connecting the top 25 collaborators of Steven G. Kendrew. A scholar is included among the top collaborators of Steven G. Kendrew 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 Steven G. Kendrew. Steven G. Kendrew is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 11 | |
| 3 | 2 | |
| 4 | 93 | |
| 5 | 7 | |
| 6 | 43 | |
| 7 | 36 | |
| 8 | 105 | |
| 9 | 32 | |
| 10 | 32 | |
| 11 | 35 | |
| 12 | 9 | |
| 13 | 70 | |
| 14 | 5 | |
| 15 | 19 | |
| 16 | 81 | |
| 17 | 8 | |
| 18 | Modulation of Polyketide Synthase Activity by Accessory Proteins During Lovastatin Biosynthesisbreakdown → | 528 |
| 19 | 28 | |
| 20 | 69 |
About Steven G. Kendrew
Steven G. Kendrew is a scholar working on Pharmacology, Biotechnology and Organic Chemistry, having authored 23 papers that have together received 1.4k indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (18 papers), Microbial Metabolism and Applications (5 papers) and Carbohydrate Chemistry and Synthesis (5 papers). The work is most often cited by research in Pharmacology (932 citations), Biotechnology (338 citations) and Molecular Biology (809 citations). Steven G. Kendrew has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include C. Richard Hutchinson, Karine Auclair, Jonathan Kennedy, John C. Vederas, E. Neil G. Marsh, David A. Hopwood, Peter F. Leadlay, Barrie Wilkinson, Hrvoje Petković and Stephen E. Harding. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.