K. Boxall
Impact in
-
- Heat shock proteins research
- DNA Repair Mechanisms
- Ubiquitin and proteasome pathways
- Cancer therapeutics and mechanisms
-
- Cancer-related Molecular Pathways
Papers in ⓘ
-
- Computational Drug Discovery Methods 2
-
- Microtubule and mitosis dynamics 2
- Co-authors
- Laurence H. Pearl (4 shared papers)G. Wynne Aherne (2 shared papers)Paul Workman (6 shared papers)Michelle D. Garrett (2 shared papers)Antony W. Oliver (2 shared papers)Martin Rowlands (3 shared papers)Wynne Aherne (5 shared papers)Alison Maloney (3 shared papers)
- Journals
- SLAS DISCOVERY (1 paper)The EMBO Journal (1 paper)Molecular Cancer Therapeutics (1 paper)Bioorganic & Medicinal Chemistry Letters (1 paper)European Journal of Cancer (1 paper)
- Partner nations
- United Kingdom
In The Last Decade
K. Boxall
11 papers receiving 533 citations
Peers
Comparison fields: 5 of 64
- Molecular Biology 444
- Oncology 168
- Computational Theory and Mathematics 89
- Cell Biology 87
- Physical and Theoretical Chemistry 32
Countries citing papers authored by K. Boxall
This map shows the geographic impact of K. Boxall'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 K. Boxall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Boxall more than expected).
Fields of papers citing papers by K. Boxall
This network shows the impact of papers produced by K. Boxall. 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 K. Boxall. The network helps show where K. Boxall may publish in the future.
Co-authors
The 25 scholars most cited alongside K. Boxall, 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 | 2005 | 169 | |
| 2 | 2006 | 117 | |
| 3 | 2011 | 79 | |
| 4 | 2007 | 66 | |
| 5 | 2013 | 63 | |
| 6 | 2003 | 23 | |
| 7 | 2017 | 11 | |
| 8 | 2007 | 8 | |
| 9 | 2012 | 3 | |
| 10 | Induction of Hsp70 and depletion of the client protein c-Raf-1 measured by ELISA following cellular exposure to the novel Hsp90 ATPase inhibitor, CCT018159 | 2003 | 2 |
| 11 | 2004 | 1 |
About K. Boxall
K. Boxall is a scholar working on Computational Theory and Mathematics, Cell Biology, Molecular Biology, Genetics and Oncology, having authored 11 papers that have together received 542 indexed citations. Recurring topics across this work include Heat shock proteins research (4 papers), Microtubule and mitosis dynamics (2 papers), Computational Drug Discovery Methods (2 papers), Cancer-related Molecular Pathways (2 papers), DNA Repair Mechanisms (2 papers), Signaling Pathways in Disease (1 paper), Protein Degradation and Inhibitors (1 paper) and Plant nutrient uptake and metabolism (1 paper). The work is most often cited by research in Molecular Biology (444 citations), Oncology (168 citations), Computational Theory and Mathematics (89 citations), Cell Biology (87 citations) and Physical and Theoretical Chemistry (32 citations). K. Boxall has collaborated with scholars based in United Kingdom. Frequent co-authors include Laurence H. Pearl, G. Wynne Aherne, Paul Workman, Michelle D. Garrett, Antony W. Oliver, Martin Rowlands, Wynne Aherne, Alison Maloney, Chrisostomos Prodromou and S. Elaine Barrie. Their work appears in journals such as SLAS DISCOVERY, The EMBO Journal, Molecular Cancer Therapeutics, Bioorganic & Medicinal Chemistry Letters and European Journal of Cancer.
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.