Simon J. Shaw
- Pharmacology top 0.2%
- Microbial Natural Products and Biosynthesis 10
- Hops Chemistry and Applications 5
- Synthesis of Organic Compounds 4
- Microbiology top 1%
- Biotechnology top 0.2%
- Molecular Biology top 2%
- Genomics and Phylogenetic Studies 5
- Metabolism, Diabetes, and Cancer 5
- Ecology top 2%
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- Cancer Treatment and Pharmacology 8
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- Synthetic Organic Chemistry Methods 6
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- Pancreatic function and diabetes 5
- Co-authors
- Tilmann WeberKai BlinMarnix H. MedemaGilles P. van WezelKat SteinkeNadine ZiemertSang Yup LeeAlexander Kloosterman
- Journals
- Nucleic Acids Research (7 papers)Bioorganic & Medicinal Chemistry Letters (5 papers)ChemMedChem (2 papers)
- Partner nations
- United StatesDenmarkNetherlands
In The Last Decade
Simon J. Shaw
51 papers receiving 5.9k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Pharmacology 2.3k
- Microbiology 90
- Biotechnology 986
- Molecular Biology 3.8k
- Ecology 1.1k
Countries citing papers authored by Simon J. Shaw
This map shows the geographic impact of Simon J. 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 Simon J. Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon J. Shaw more than expected).
Fields of papers citing papers by Simon J. Shaw
This network shows the impact of papers produced by Simon J. 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 Simon J. Shaw. The network helps show where Simon J. Shaw may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Simon J. Shaw, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 7 | |
| 4 | antiSMASH 7.0: new and improved predictions for detection, regulation, chemical structures and visualisationbreakdown → | 2023 | 1116 |
| 5 | 2022 | 2 | |
| 6 | 2020 | 101 | |
| 7 | 2020 | 146 | |
| 8 | 2020 | 20 | |
| 9 | 2018 | 32 | |
| 10 | 2017 | 9 | |
| 11 | 2015 | 25 | |
| 12 | 2013 | 16 | |
| 13 | 2011 | 3 | |
| 14 | 2010 | 4 | |
| 15 | 2008 | 4 | |
| 16 | 2008 | 36 | |
| 17 | 2007 | 10 | |
| 18 | 2006 | 6 | |
| 19 | 2005 | 14 | |
| 20 | 2004 | 20 |
About Simon J. Shaw
Simon J. Shaw is a scholar working on Pharmacology, Organic Chemistry, Toxicology, Pharmacology and Business and International Management, having authored 55 papers that have together received 5.9k indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (10 papers), Cancer Treatment and Pharmacology (8 papers), Synthetic Organic Chemistry Methods (6 papers), Genomics and Phylogenetic Studies (5 papers), Metabolism, Diabetes, and Cancer (5 papers), Hops Chemistry and Applications (5 papers), Pancreatic function and diabetes (5 papers) and Synthesis of Organic Compounds (4 papers). The work is most often cited by research in Pharmacology (2.3k citations), Microbiology (90 citations), Biotechnology (986 citations), Molecular Biology (3.8k citations) and Ecology (1.1k citations). Simon J. Shaw has collaborated with scholars based in United States, Denmark and Netherlands. Frequent co-authors include Tilmann Weber, Kai Blin, Marnix H. Medema, Gilles P. van Wezel, Kat Steinke, Nadine Ziemert, Sang Yup Lee, Alexander Kloosterman, Zachary Charlop–Powers and Hannah E. Augustijn. Their work appears in journals such as Nucleic Acids Research, Bioorganic & Medicinal Chemistry Letters, ChemMedChem, Journal of Medicinal Chemistry and Organic Letters.
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.