Ailsa Webster
Impact in
- Cancer Research top 1%
- Protease and Inhibitor Mechanisms
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
Papers in
-
- Protease and Inhibitor Mechanisms 12
- Genetics 9
- Virus-based gene therapy research 9
- Co-authors
- Gillian Murphy (6 shared papers)Andrew Docherty (6 shared papers)Patrick M. Slocombe (5 shared papers)Graham D. Kemp (9 shared papers)Paul E. Stephens (3 shared papers)Christopher G. Knight (5 shared papers)Augustin Amour (4 shared papers)Vera Knäuper (4 shared papers)
- Journals
- Journal of General Virology (5 papers)FEBS Letters (3 papers)Journal of Virology (3 papers)Journal of Biological Chemistry (3 papers)Nucleic Acids Research (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Ailsa Webster
23 papers receiving 2k citations
Peers
Comparison fields: 5 of 85
- Cancer Research 1k
- Immunology and Allergy 88
- Genetics 351
- Virology 30
- Molecular Biology 417
Countries citing papers authored by Ailsa Webster
This map shows the geographic impact of Ailsa Webster'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 Ailsa Webster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ailsa Webster more than expected).
Fields of papers citing papers by Ailsa Webster
This network shows the impact of papers produced by Ailsa Webster. 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 Ailsa Webster. The network helps show where Ailsa Webster may publish in the future.
Co-authors
The 25 scholars most cited alongside Ailsa Webster, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 535 | |
| 2 | 2000 | 344 | |
| 3 | 2000 | 164 | |
| 4 | 2002 | 147 | |
| 5 | 1993 | 138 | |
| 6 | 2002 | 123 | |
| 7 | 1989 | 110 | |
| 8 | 2002 | 102 | |
| 9 | 2008 | 97 | |
| 10 | 1994 | 53 | |
| 11 | 1989 | 44 | |
| 12 | 1997 | 40 | |
| 13 | 1994 | 38 | |
| 14 | 1995 | 38 | |
| 15 | 1994 | 31 | |
| 16 | 1993 | 26 | |
| 17 | 1989 | 19 | |
| 18 | 1997 | 19 | |
| 19 | 1989 | 13 | |
| 20 | 1989 | 12 |
About Ailsa Webster
Ailsa Webster is a scholar working on Cancer Research, Genetics, Immunology and Allergy, Molecular Biology and Epidemiology, having authored 23 papers that have together received 2.1k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (12 papers), Virus-based gene therapy research (9 papers), Genomics and Chromatin Dynamics (4 papers), Cell Adhesion Molecules Research (2 papers), Ubiquitin and proteasome pathways (2 papers), Blood properties and coagulation (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Enzyme Structure and Function (2 papers). The work is most often cited by research in Cancer Research (1k citations), Immunology and Allergy (88 citations), Genetics (351 citations), Virology (30 citations) and Molecular Biology (417 citations). Ailsa Webster has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Gillian Murphy, Andrew Docherty, Patrick M. Slocombe, Graham D. Kemp, Paul E. Stephens, Christopher G. Knight, Augustin Amour, Vera Knäuper, Ronald T. Hay and Bryan John Smith. Their work appears in journals such as Journal of General Virology, FEBS Letters, Journal of Virology, Journal of Biological Chemistry and Nucleic Acids 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.