Ailsa Webster

2.4k citations
22 papers · 2.0k · 1 hit paper · h-index 18

Impact in

Papers in

    • Viral Infectious Diseases and Gene Expression in Insects 6
    • Signaling Pathways in Disease 2
    • Virus-based gene therapy research 12

Ailsa Webster

22 papers receiving 2.0k citations

Ailsa Webster's Hit Papers

TNF‐α converting enzyme (TACE) is inhibited by TIMP‐3 1998 · 519 citations
5190+9+18Years since publication100200300400500

Peers

Ailsa Webster
Comparison fields: 5 of 94
  • Immunology and Allergy 462
  • Cancer Research 601
  • Oncology 708
  • Hematology 206
  • Genetics 496
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Citations per field
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Citations per year

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-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.

Border = papers with Ailsa Webster Line = papers co-authored together Ailsa Webster links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
TNF‐α converting enzyme (TACE) is inhibited by TIMP‐3
Hit paper breakdown →
1998519
2 2000340
3 2000159
4 2002137
5 1993132
6 2002117
7 1989105
8 200889
9 200288
10 199449
11 198942
12 199440
13 199537
14 199737
15 199431
16 199323
17 199720
18 198919
19 198913
20 198911

About Ailsa Webster

Ailsa Webster is a scholar working on Molecular Biology, Genetics, Oncology, Immunology and Allergy and Infectious Diseases, having authored 22 papers that have together received 2.0k indexed citations. Recurring topics across this work include Virus-based gene therapy research (12 papers), Cell Adhesion Molecules Research (6 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers), Protease and Inhibitor Mechanisms (4 papers), Viral gastroenteritis research and epidemiology (4 papers), Peptidase Inhibition and Analysis (4 papers), HER2/EGFR in Cancer Research (3 papers) and Signaling Pathways in Disease (2 papers). The work is most often cited by research in Immunology and Allergy (462 citations), Cancer Research (601 citations), Oncology (708 citations), Hematology (206 citations) and Genetics (496 citations). Ailsa Webster has collaborated with scholars based in United Kingdom, United States and Canada. Frequent 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 Mike Hutton. Their work appears in journals such as Journal of General Virology, Journal of Biological Chemistry, FEBS Letters, Journal of Virology and Annals of the New York 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.

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