Ailsa Webster

2.4k total citations · 1 hit paper
22 papers, 2.0k citations indexed

About

Ailsa Webster is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Ailsa Webster has authored 22 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 12 papers in Genetics and 7 papers in Oncology. Recurrent topics in Ailsa Webster's work include Virus-based gene therapy research (12 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers) and Cell Adhesion Molecules Research (6 papers). Ailsa Webster is often cited by papers focused on Virus-based gene therapy research (12 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers) and Cell Adhesion Molecules Research (6 papers). Ailsa Webster collaborates with scholars based in United Kingdom, United States and Germany. Ailsa Webster's co-authors include Gillian Murphy, Andrew Docherty, Patrick M. Slocombe, Paul E. Stephens, Christopher G. Knight, Graham D. Kemp, Augustin Amour, Vera Knäuper, Ronald T. Hay and Michael J. Butler and has published in prestigious journals such as Cell, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Ailsa Webster

22 papers receiving 2.0k citations

Hit Papers

TNF‐α converting enzyme (TACE) is inhibited by TIMP‐3 1998 2026 2007 2016 1998 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ailsa Webster United Kingdom 18 1.0k 708 601 496 462 22 2.0k
Anthony Anisowicz United States 21 1.4k 1.3× 808 1.1× 729 1.2× 434 0.9× 290 0.6× 28 2.8k
Brian Champion United Kingdom 28 987 0.9× 730 1.0× 277 0.5× 658 1.3× 242 0.5× 90 2.8k
Béatrice Quantin France 7 813 0.8× 401 0.6× 437 0.7× 451 0.9× 116 0.3× 8 1.4k
Paul Tolstoshev United States 27 1.8k 1.7× 533 0.8× 224 0.4× 1.5k 2.9× 181 0.4× 49 3.0k
J. Hilgers Netherlands 28 1.0k 1.0× 545 0.8× 187 0.3× 553 1.1× 427 0.9× 91 2.3k
Carol A. Vater United States 21 1.5k 1.4× 394 0.6× 762 1.3× 220 0.4× 267 0.6× 32 3.1k
Judith Aggeler United States 19 1.1k 1.0× 609 0.9× 450 0.7× 363 0.7× 475 1.0× 25 2.5k
Robert B. DuBridge United States 16 1.6k 1.5× 509 0.7× 215 0.4× 632 1.3× 159 0.3× 26 2.9k
Ayalew Mergia United States 24 1.8k 1.8× 390 0.6× 349 0.6× 682 1.4× 95 0.2× 56 2.9k
Theodore E. Maione United States 16 1.1k 1.0× 498 0.7× 228 0.4× 76 0.2× 341 0.7× 26 1.9k

Countries citing papers authored by Ailsa Webster

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ailsa Webster

This figure shows the co-authorship network connecting the top 25 collaborators of Ailsa Webster. A scholar is included among the top collaborators of Ailsa Webster based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ailsa Webster. Ailsa Webster is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Xia, Zanxian, Ailsa Webster, Fangyong Du, et al.. (2008). Substrate-binding Sites of UBR1, the Ubiquitin Ligase of the N-end Rule Pathway. Journal of Biological Chemistry. 283(35). 24011–24028. 89 indexed citations
2.
Amour, Augustin, Christopher G. Knight, William English, et al.. (2002). The enzymatic activity of ADAM8 and ADAM9 is not regulated by TIMPs. FEBS Letters. 524(1-3). 154–158. 117 indexed citations
3.
Schlomann, Uwe, Dirk Wildeboer, Ailsa Webster, et al.. (2002). The Metalloprotease Disintegrin ADAM8. Journal of Biological Chemistry. 277(50). 48210–48219. 137 indexed citations
4.
Poghosyan, Zaruhi, Stephen M. Robbins, Miles D. Houslay, et al.. (2002). Phosphorylation-dependent Interactions between ADAM15 Cytoplasmic Domain and Src Family Protein-tyrosine Kinases. Journal of Biological Chemistry. 277(7). 4999–5007. 88 indexed citations
5.
Amour, Augustin, Christopher G. Knight, Ailsa Webster, et al.. (2000). The in vitro activity of ADAM‐10 is inhibited by TIMP‐1 and TIMP‐3. FEBS Letters. 473(3). 275–279. 340 indexed citations
6.
Amour, Augustin, Mike Hutton, Vera Knäuper, et al.. (1999). Inhibition of the Metalloproteinase Domain of Mouse TACE. Annals of the New York Academy of Sciences. 878(1). 728–731. 11 indexed citations
7.
Amour, Augustin, Patrick M. Slocombe, Ailsa Webster, et al.. (1998). TNF‐α converting enzyme (TACE) is inhibited by TIMP‐3. FEBS Letters. 435(1). 39–44. 519 indexed citations breakdown →
8.
Webster, Ailsa, et al.. (1997). Domain organization of the adenovirus preterminal protein. Journal of Virology. 71(1). 539–547. 20 indexed citations
9.
Webster, Ailsa, et al.. (1997). Role of preterminal protein processing in adenovirus replication. Journal of Virology. 71(9). 6381–6389. 37 indexed citations
10.
Hay, Ronald T., et al.. (1995). Molecular Interactions During Adenovirus DNA Replication. Current topics in microbiology and immunology. 199 ( Pt 2). 31–48. 37 indexed citations
11.
Webster, Ailsa, et al.. (1994). Adenovirus DNA binding protein: helix destabilising properties. Nucleic Acids Research. 22(5). 742–748. 40 indexed citations
12.
Nicholson, Robert I., et al.. (1994). The protease of adenovirus serotype 2 requires cysteine residues for both activation and catalysis. Journal of General Virology. 75(10). 2761–2764. 31 indexed citations
13.
Webster, Ailsa & Graham D. Kemp. (1993). The active adenovirus protease is the intact L3 23K protein. Journal of General Virology. 74(7). 1415–1420. 23 indexed citations
14.
Webster, Ailsa, Ronald T. Hay, & Graham D. Kemp. (1993). The adenovirus protease is activated by a virus-coded disulphide-linked peptide. Cell. 72(1). 97–104. 132 indexed citations
15.
Kemp, Graham D., Ailsa Webster, & W. C. Russell. (1992). Proteolysis is a key process in virus replication.. PubMed. 27. 1–16. 7 indexed citations
16.
Webster, Ailsa, W. C. Russell, & Graham D. Kemp. (1989). Characterization of the Adenovirus Proteinase: Development and Use of a Specific Peptide Assay. Journal of General Virology. 70(12). 3215–3223. 42 indexed citations
17.
Russell, W. C., et al.. (1989). Phosphorylation of Adenovirus DNA-binding Protein. Journal of General Virology. 70(12). 3249–3259. 11 indexed citations
18.
Webster, Ailsa, et al.. (1989). The influence of calcium ions on fibrinogen conformation. Biochimica et Biophysica Acta (BBA) - Protein Structure and Molecular Enzymology. 995(1). 70–74. 13 indexed citations
19.
Webster, Ailsa, et al.. (1989). Characterization of the Adenovirus Proteinase: Substrate Specificity. Journal of General Virology. 70(12). 3225–3234. 105 indexed citations
20.
Webster, Ailsa, et al.. (1989). A dye-photosensitized reaction that generates stable protein-protein crosslinks. Analytical Biochemistry. 179(1). 154–157. 19 indexed citations

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.

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