Julian Blagg
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
- Organic Chemistry top 2%
- Asymmetric Synthesis and Catalysis
- Synthetic Organic Chemistry Methods
- Synthesis and biological activity
Papers in
- Cell Biology 22
- Microtubule and mitosis dynamics 20
-
- Asymmetric Synthesis and Catalysis 14
- Synthetic Organic Chemistry Methods 8
- Co-authors
- Paul WorkmanNathan BrownWolfgang OppolzerDavid A. PriceTravis T. WagerNigel GreeneInés RodríguezStephen G. Davies
- Journals
- Bioorganic & Medicinal Chemistry Letters (11 papers)Journal of Medicinal Chemistry (7 papers)Journal of the Chemical Society Perkin Transactions 1 (5 papers)Synlett (4 papers)Cancer Research (4 papers)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Julian Blagg
90 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Computational Theory and Mathematics 714
- Organic Chemistry 1.2k
- Pharmacology 258
- Molecular Biology 1.8k
- Cell Biology 403
Countries citing papers authored by Julian Blagg
This map shows the geographic impact of Julian Blagg'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 Julian Blagg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julian Blagg more than expected).
Fields of papers citing papers by Julian Blagg
This network shows the impact of papers produced by Julian Blagg. 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 Julian Blagg. The network helps show where Julian Blagg may publish in the future.
Co-authors
The 25 scholars most cited alongside Julian Blagg, 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 | 2021 | 4 | |
| 2 | 2020 | 20 | |
| 3 | 2019 | 6 | |
| 4 | 2019 | 4 | |
| 5 | 2018 | 12 | |
| 6 | 2017 | 33 | |
| 7 | 2017 | 3 | |
| 8 | 2017 | 137 | |
| 9 | 2016 | 30 | |
| 10 | 2015 | 24 | |
| 11 | 2014 | 12 | |
| 12 | 2011 | 67 | |
| 13 | 2011 | 20 | |
| 14 | 2010 | 86 | |
| 15 | 2010 | 27 | |
| 16 | 2010 | 27 | |
| 17 | 2009 | 27 | |
| 18 | 2009 | 107 | |
| 19 | 2008 | 8 | |
| 20 | 2007 | 50 |
About Julian Blagg
Julian Blagg is a scholar working on Cell Biology, Organic Chemistry, Pharmacology, Molecular Biology and Computational Theory and Mathematics, having authored 94 papers that have together received 3.5k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (20 papers), Asymmetric Synthesis and Catalysis (14 papers), Epigenetics and DNA Methylation (12 papers), Protein Degradation and Inhibitors (12 papers), Cancer-related Molecular Pathways (11 papers), Computational Drug Discovery Methods (11 papers), Synthetic Organic Chemistry Methods (8 papers) and Pharmacogenetics and Drug Metabolism (6 papers). The work is most often cited by research in Computational Theory and Mathematics (714 citations), Organic Chemistry (1.2k citations), Pharmacology (258 citations), Molecular Biology (1.8k citations) and Cell Biology (403 citations). Julian Blagg has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Paul Workman, Nathan Brown, Wolfgang Oppolzer, David A. Price, Travis T. Wager, Nigel Greene, Inés Rodríguez, Stephen G. Davies, Eric Walther and Simon Bailey. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Journal of the Chemical Society Perkin Transactions 1, Synlett and Cancer Research.
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.