Alastair Aitken
- Molecular Biology top 0.5%
- 14-3-3 protein interactions 38
- Ubiquitin and proteasome pathways 24
- Protein Kinase Regulation and GTPase Signaling 11
- Protein Structure and Dynamics 7
- Bioactive Natural Diterpenoids Research 6
- Cell Biology top 0.5%
- Pharmacology top 0.5%
- Microbial Natural Products and Biosynthesis 15
- Biochemistry top 1%
- Aging top 5%
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- Enzyme Structure and Function 10
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- Metabolism and Genetic Disorders 7
- Co-authors
- Philip CohenStephen J. SmerdonS.J. GamblinKatrin RittingerLewis C. CantleyMichael B. YaffeStefano VoliniaPaul R. Caron
- Partner nations
- United KingdomTanzaniaUnited States
In The Last Decade
Alastair Aitken
118 papers receiving 8.9k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Molecular Biology 8.2k
- Cell Biology 1.4k
- Pharmacology 1.1k
- Biochemistry 428
- Aging 66
Countries citing papers authored by Alastair Aitken
This map shows the geographic impact of Alastair Aitken'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 Alastair Aitken with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alastair Aitken more than expected).
Fields of papers citing papers by Alastair Aitken
This network shows the impact of papers produced by Alastair Aitken. 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 Alastair Aitken. The network helps show where Alastair Aitken may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alastair Aitken, 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 | 2011 | 78 | |
| 2 | 2011 | 104 | |
| 3 | 2008 | 12 | |
| 4 | 2008 | 30 | |
| 5 | 2007 | 128 | |
| 6 | 2005 | 23 | |
| 7 | 2004 | 28 | |
| 8 | 2003 | 4 | |
| 9 | 2002 | 10 | |
| 10 | 1999 | 229 | |
| 11 | 1996 | 208 | |
| 12 | 1995 | 404 | |
| 13 | 1995 | 232 | |
| 14 | 1993 | 81 | |
| 15 | 1992 | 121 | |
| 16 | 1991 | 19 | |
| 17 | Identification of protein consensus sequences : active site motifs, phosphorylation, and other post-translational modifications | 1990 | 10 |
| 18 | 1989 | 29 | |
| 19 | 1988 | 9 | |
| 20 | 1987 | 13 |
About Alastair Aitken
Alastair Aitken is a scholar working on Molecular Biology, Biochemistry and Cell Biology, having authored 120 papers that have together received 9.2k indexed citations. Recurring topics across this work include 14-3-3 protein interactions (38 papers), Ubiquitin and proteasome pathways (24 papers), Microbial Natural Products and Biosynthesis (15 papers), Protein Kinase Regulation and GTPase Signaling (11 papers), Enzyme Structure and Function (10 papers), Protein Structure and Dynamics (7 papers), Metabolism and Genetic Disorders (7 papers) and Bioactive Natural Diterpenoids Research (6 papers). The work is most often cited by research in Molecular Biology (8.2k citations), Cell Biology (1.4k citations) and Pharmacology (1.1k citations). Alastair Aitken has collaborated with scholars based in United Kingdom, Tanzania and United States. Frequent co-authors include Philip Cohen, Stephen J. Smerdon, S.J. Gamblin, Katrin Rittinger, Lewis C. Cantley, Michael B. Yaffe, Stefano Volinia, Paul R. Caron, Henrik Leffers and David H. Jones. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.