Wayne J. Fairbrother

18.0k citations
122 papers · 9.1k indexed · 2 hit papers · h-index 51
Topics
Cell death mechanisms and regulation (33 papers)Monoclonal and Polyclonal Antibodies Research (21 papers)Ubiquitin and proteasome pathways (15 papers)

In The Last Decade

Wayne J. Fairbrother

121 papers receiving 8.8k citations

Hit Papers

IAP Antagonists Induce Autoubiquitination of c-IAPs, NF-κ...2007202620132019200720172505007501000

Peers

Wayne J. Fairbrother
Comparison fields: 5 of 143
  • Molecular Biology 6.7k
  • Immunology 2.4k
  • Oncology 1.9k
  • Cancer Research 1.3k
  • Radiology, Nuclear Medicine and Imaging 729
Replace Christian Wiesmann with:
Christian Wiesmann United States
Trevor D. Littlewood United Kingdom
Kevin H. Mayo United States
Scot A. Marsters United States
Abraham M. de Vos United States
Kazuyasu Sakaguchi Japan
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Gilles Favre France
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Wayne J. Fairbrother relative to Christian Wiesmann United States Christian Wiesmann's profile →
Citations per field
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Christian Wiesmann · 1×
Citations per year

Countries citing papers authored by Wayne J. Fairbrother

Since Specialization
Citations

This map shows the geographic impact of Wayne J. Fairbrother'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 Wayne J. Fairbrother with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wayne J. Fairbrother more than expected).

Fields of papers citing papers by Wayne J. Fairbrother

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wayne J. Fairbrother. 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 Wayne J. Fairbrother. The network helps show where Wayne J. Fairbrother may publish in the future.

Co-authorship network of co-authors of Wayne J. Fairbrother

This figure shows the co-authorship network connecting the top 25 collaborators of Wayne J. Fairbrother. A scholar is included among the top collaborators of Wayne J. Fairbrother 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 Wayne J. Fairbrother. Wayne J. Fairbrother 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
#WorkIndexed citations
1 3
2 16
3 17
4 223
5 1
6 61
7 89
8 83
9 4
10 82
11 13
12
IAP (inhibitor of apoptosis) antagonist inhibits orthotopic lung tumor growth
1
13
Structure-based Design of IAP Antagonists
1
14 160
15 70
16 111
17 25
18 41
19 37
20 12

About Wayne J. Fairbrother

Wayne J. Fairbrother is a scholar working on Molecular Biology, Immunology and Allergy and Immunology, having authored 122 papers that have together received 9.1k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (33 papers), Monoclonal and Polyclonal Antibodies Research (21 papers) and Ubiquitin and proteasome pathways (15 papers). The work is most often cited by research in Immunology (2.4k citations), Molecular Biology (6.7k citations) and Cancer Research (1.3k citations). Wayne J. Fairbrother has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Domagoj Vucic, Kurt Deshayes, Vishva M. Dixit, Melissa A. Starovasnik, Andrew J. Souers, Anna Fedorova, Joel Johansson, Kerry Zobel, Eugene Varfolomeev and Avi Ashkenazi. Their work appears in journals such as Nature, Science and Cell.

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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