Sarah Butcher

4.0k total citations · 1 hit paper
19 papers, 1.0k citations indexed

About

Sarah Butcher is a scholar working on Molecular Biology, Surgery and Computer Networks and Communications. According to data from OpenAlex, Sarah Butcher has authored 19 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 2 papers in Surgery and 2 papers in Computer Networks and Communications. Recurrent topics in Sarah Butcher's work include Genomics and Phylogenetic Studies (5 papers), Biomedical Text Mining and Ontologies (3 papers) and Bioinformatics and Genomic Networks (2 papers). Sarah Butcher is often cited by papers focused on Genomics and Phylogenetic Studies (5 papers), Biomedical Text Mining and Ontologies (3 papers) and Bioinformatics and Genomic Networks (2 papers). Sarah Butcher collaborates with scholars based in United Kingdom, Netherlands and Russia. Sarah Butcher's co-authors include Nandana Madhusoodanan, Joon Lee, Adrian R. Tivey, Fábio Madeira, Rodrigo López, Ania Niewielska, Nigel J. Saunders, Lori A.S. Snyder, James Abbott and Geraint Barton and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Bioinformatics.

In The Last Decade

Sarah Butcher

19 papers receiving 995 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 EMBL-EBI Job Dispatcher sequence analysis tools framework in 2024

2024 491 citations Fábio Madeira, Nandana Madhusoodanan et al. Nucleic Acids Research profile →

Peers

Sarah Butcher

GENET

SURGE

MICRO

Teresa A. Garrett United States

Alfredo Torres‐Larios Mexico

Jean‐Charles Sanchez Switzerland

Kyung‐Hoon Kwon South Korea

Christine Hoogland Switzerland

Varun Khanna France

Håkan Viklund Sweden

Andreas Bernsel Sweden

Timothy Nugent Ireland

Fabrice Homblé Belgium

Teresa A. Garrett United States

Sarah Butcher

672 ×1.2

188 ×1.1

GENET

93 ×0.7

38 ×0.3

SURGE

64 ×0.6

MICRO

Citations per year, relative to Sarah Butcher Sarah Butcher (= 1×) peers Teresa A. Garrett

Countries citing papers authored by Sarah Butcher

Since Specialization

Citations

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

Fields of papers citing papers by Sarah Butcher

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Butcher

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

All Works

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19 of 19 papers shown

Madeira, Fábio, Nandana Madhusoodanan, Joon Lee, et al.. (2024). The EMBL-EBI Job Dispatcher sequence analysis tools framework in 2024. Nucleic Acids Research. 52(W1). W521–W525. 491 indexed citations breakdown →

Madeira, Fábio, Nandana Madhusoodanan, Joon Lee, et al.. (2024). Using EMBL‐EBI Services via Web Interface and Programmatically via Web Services. Current Protocols. 4(6). e1065–e1065. 8 indexed citations

Sternberg, Michael J.E., et al.. (2016). k-SLAM: accurate and ultra-fast taxonomic classification and gene identification for large metagenomic data sets. Nucleic Acids Research. 45(4). gkw1248–gkw1248. 34 indexed citations

Stanford, Natalie, Katherine Wolstencroft, Martin Golebiewski, et al.. (2015). The evolution of standards and data management practices in systems biology. Molecular Systems Biology. 11(12). 851–851. 18 indexed citations

Tomlinson, Christopher, Geraint Barton, Mark Woodbridge, & Sarah Butcher. (2013). XperimentR: painless annotation of a biological experiment for the laboratory scientist. BMC Bioinformatics. 14(1). 8–8. 14 indexed citations

Filippis, Ioannis, Rosa López-Cobollo, James Abbott, Sarah Butcher, & Gerard J. Bishop. (2013). Using a periclinal chimera to unravel layer‐specific gene expression in plants. The Plant Journal. 75(6). 1039–1049. 16 indexed citations

Cohen, Jérémy, Ioannis Filippis, Mark Woodbridge, et al.. (2012). RAPPORT: running scientific high-performance computing applications on the cloud. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 371(1983). 20120073–20120073. 5 indexed citations

Abbott, James & Sarah Butcher. (2012). Strategies towards sequencing complex crop genomes. Genome biology. 13(11). 322–322. 4 indexed citations

Woodbridge, Mark, Christopher Tomlinson, & Sarah Butcher. (2012). ADAM: automated data management for research datasets. Bioinformatics. 29(1). 146–147. 1 indexed citations

10.

Thomas, Geraldine, et al.. (2012). The Chernobyl Tissue Bank — A Repository for Biomaterial and Data Used in Integrative and Systems Biology Modeling the Human Response to Radiation. Genes. 3(2). 278–290. 1 indexed citations

11.

Abbott, James & Sarah Butcher. (2012). Strategies towards sequencing complex crop genomes. Genome Biology. 13(11). 322–322. 2 indexed citations

12.

Huntley, Derek, et al.. (2011). Determining Signalling Nodes for Apoptosis by a Genetic High-Throughput Screen. PLoS ONE. 6(9). e25023–e25023. 4 indexed citations

13.

Huntley, Derek, Ioannis Pandis, Sarah Butcher, & J P Ackers. (2010). Bioinformatic analysis of Entamoeba histolytica SINE1 elements. BMC Genomics. 11(1). 321–321. 10 indexed citations

14.

Pullen, Timothy J., Arshad Khan, Geraint Barton, et al.. (2010). Identification of genes selectively disallowed in the pancreatic islet. Islets. 2(2). 89–95. 121 indexed citations

15.

Fournier, Frédéric, Elizabeth M. Gardner, Darek Kedra, et al.. (2008). Protein identification and quantification by two-dimensional infrared spectroscopy: Implications for an all-optical proteomic platform. Proceedings of the National Academy of Sciences. 105(40). 15352–15357. 40 indexed citations

16.

Swire, Jonathan, et al.. (2005). Comparative analysis of the Saccharomyces cerevisiae and Caenorhabditis elegans protein interaction networks. BMC Evolutionary Biology. 5(1). 23–23. 41 indexed citations

17.

Abbott, James, David M. Aanensen, Kim Rutherford, Sarah Butcher, & Brian G. Spratt. (2005). WebACT—an online companion for the Artemis Comparison Tool. Bioinformatics. 21(18). 3665–3666. 79 indexed citations

18.

Saunders, Nigel J. & Sarah Butcher. (2003). The Use of Complete Genome Sequences in Vaccine Design. Humana Press eBooks. 87. 301–312. 2 indexed citations

19.

Snyder, Lori A.S., Sarah Butcher, & Nigel J. Saunders. (2001). Comparative whole-genome analyses reveal over 100 putative phase-variable genes in the pathogenic Neisseria spp.. Microbiology. 147(8). 2321–2332. 116 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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