William G. Fairbrother

4.8k citations
48 papers · 3.0k indexed · 1 hit paper · h-index 25

William G. Fairbrother

47 papers receiving 2.9k citations

Hit Papers

Predictive Identification of Exonic Splicing Enhancers in...8462002202620102018250500750

Peers

William G. Fairbrother
Comparison fields: 5 of 109
  • Molecular Biology 2.5k
  • Cancer Research 342
  • Genetics 197
  • Genetics 366
  • Cardiology and Cardiovascular Medicine 184
Replace Niels H. Gehring with:
Niels H. Gehring Germany
Luc Furic Australia
Petra Schwalie Switzerland
Gabriele Neu‐Yilik Germany
Jocelyn Côté Canada
Sergi Aranda Spain
Malka Nissim‐Rafinia Israel
Jingyi Hui China
Robbyn Issner United States
Zhengyan Kan United States
William G. Fairbrother relative to Niels H. Gehring Germany Niels H. Gehring's profile →
Citations per field
00.5×1.5×1.8×
Niels H. Gehring · 1×
Citations per year

Countries citing papers authored by William G. Fairbrother

Since Specialization
Citations

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

Fields of papers citing papers by William G. Fairbrother

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside William G. Fairbrother, 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 William G. Fairbrother Line = papers co-authored together William G. Fairbrother links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20248
2 20233
3 20226
4 20228
5 20223
6 202015
7 2019125
8 201837
9 201824
10 20175
11 2017151
12 201741
13 201784
14 201524
15 201291
16 201129
17 20104
18 200939
19 200716
20 2004224

About William G. Fairbrother

William G. Fairbrother is a scholar working on Molecular Biology, Cancer Research and Genetics, having authored 48 papers that have together received 3.0k indexed citations. Recurring topics across this work include RNA Research and Splicing (35 papers), RNA modifications and cancer (29 papers), RNA and protein synthesis mechanisms (23 papers), Cancer-related molecular mechanisms research (4 papers), Genomics and Chromatin Dynamics (4 papers), Neurogenetic and Muscular Disorders Research (3 papers), CRISPR and Genetic Engineering (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Molecular Biology (2.5k citations), Cancer Research (342 citations) and Genetics (197 citations). William G. Fairbrother has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Phillip A. Sharp, Christopher B. Burge, Ru‐Fang Yeh, Kamil J. Cygan, Kian‐Huat Lim, Allison J. Taggart, Lawrence A. Chasin, Benjamin J. Raphael, Dirk Holste and Rachel Soemedi. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences 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.

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