Susan Fairley

14.0k total citations · 1 hit paper
7 papers, 556 citations indexed

About

Susan Fairley is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Susan Fairley has authored 7 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Plant Science. Recurrent topics in Susan Fairley's work include Genomics and Phylogenetic Studies (3 papers), Genomics and Rare Diseases (2 papers) and Genetic Associations and Epidemiology (2 papers). Susan Fairley is often cited by papers focused on Genomics and Phylogenetic Studies (3 papers), Genomics and Rare Diseases (2 papers) and Genetic Associations and Epidemiology (2 papers). Susan Fairley collaborates with scholars based in United Kingdom, Canada and Philippines. Susan Fairley's co-authors include Paul Flicek, Emily Perry, Ernesto Lowy, Ian Streeter, Laura Clarke, Xiangqun Zheng-Bradley, Anne-Marie Tassé, David Richardson, Morag Livingstone and David Longbottom and has published in prestigious journals such as Nucleic Acids Research, Scientific Reports and Journal of Clinical Microbiology.

In The Last Decade

Susan Fairley

7 papers receiving 551 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The International Genome Sample Resource (IGSR) collection of open human genomic variation resources

2019 215 citations Susan Fairley, Ernesto Lowy et al. Nucleic Acids Research profile →

Peers

Susan Fairley

MB

GENET

PS

CR

IMMUN

Maarja Lepamets Estonia

Anh Dinh United States

Angela C. M. Luyf Netherlands

Jingchu Hu China

Shaked Afik United States

Chumpol Ngamphiw Thailand

Wubin Qu China

Alberto Tiérrez Spain

Dongmei Zhu China

Gleb Baida United States

Maarja Lepamets Estonia

Susan Fairley

288 ×1.2

MB

194 ×0.9

GENET

109 ×1.7

PS

31 ×0.6

CR

44 ×0.9

IMMUN

Citations per year, relative to Susan Fairley Susan Fairley (= 1×) peers Maarja Lepamets

Countries citing papers authored by Susan Fairley

Since Specialization

Citations

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

Fields of papers citing papers by Susan Fairley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Susan Fairley. 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 Susan Fairley. The network helps show where Susan Fairley may publish in the future.

Co-authorship network of co-authors of Susan Fairley

This figure shows the co-authorship network connecting the top 25 collaborators of Susan Fairley. A scholar is included among the top collaborators of Susan Fairley 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 Susan Fairley. Susan Fairley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

1.

Fairley, Susan, Ernesto Lowy, Emily Perry, & Paul Flicek. (2019). The International Genome Sample Resource (IGSR) collection of open human genomic variation resources. Nucleic Acids Research. 48(D1). D941–D947. 215 indexed citations breakdown →

2.

Norton, Gareth J., Anthony J. Travis, Alex Douglas, et al.. (2018). Genome Wide Association Mapping of Grain and Straw Biomass Traits in the Rice Bengal and Assam Aus Panel (BAAP) Grown Under Alternate Wetting and Drying and Permanently Flooded Irrigation. Frontiers in Plant Science. 9. 1223–1223. 45 indexed citations

3.

Lowy, Ernesto, et al.. (2018). Variant calling on the GRCh38 assembly with the data from phase three of the 1000 Genomes. Faculty of 1000 Research Ltd. 7. 1 indexed citations

4.

Zheng-Bradley, Xiangqun, Ian Streeter, Susan Fairley, et al.. (2017). Alignment of 1000 Genomes Project reads to reference assembly GRCh38. GigaScience. 6(7). 1–8. 53 indexed citations

5.

Clarke, Laura, Susan Fairley, Xiangqun Zheng-Bradley, et al.. (2016). The international Genome sample resource (IGSR): A worldwide collection of genome variation incorporating the 1000 Genomes Project data. Nucleic Acids Research. 45(D1). D854–D859. 158 indexed citations

6.

Strachan, Norval J. C., Ovidiu Rotariu, Bruno S. Lopes, et al.. (2015). Whole Genome Sequencing demonstrates that Geographic Variation of Escherichia coli O157 Genotypes Dominates Host Association. Scientific Reports. 5(1). 14145–14145. 39 indexed citations

7.

Longbottom, David, et al.. (2002). Serological Diagnosis of Ovine Enzootic Abortion by Enzyme-Linked Immunosorbent Assay with a Recombinant Protein Fragment of the Polymorphic Outer Membrane Protein POMP90 ofChlamydophila abortus. Journal of Clinical Microbiology. 40(11). 4235–4243. 45 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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