Sarah Smith

2.9k total citations · 1 hit paper
8 papers, 907 citations indexed

About

Sarah Smith is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Sarah Smith has authored 8 papers receiving a total of 907 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Genetics and 2 papers in Plant Science. Recurrent topics in Sarah Smith's work include Developmental Biology and Gene Regulation (4 papers), Animal Genetics and Reproduction (4 papers) and Congenital heart defects research (3 papers). Sarah Smith is often cited by papers focused on Developmental Biology and Gene Regulation (4 papers), Animal Genetics and Reproduction (4 papers) and Congenital heart defects research (3 papers). Sarah Smith collaborates with scholars based in United Kingdom and United States. Sarah Smith's co-authors include Greg Elgar, Gayle K. McEwen, Julie E. Cooke, Adam Woolfe, Debbie K. Goode, Heather Callaway, Phil Snell, Yvonne J. K. Edwards, Martin Goodson and Walter R. Gilks and has published in prestigious journals such as Genome Research, PLoS Biology and Developmental Biology.

In The Last Decade

Sarah Smith

8 papers receiving 886 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.

Highly Conserved Non-Coding Sequences Are Associated with Vertebrate Development

2004 723 citations Adam Woolfe, Martin Goodson et al. PLoS Biology profile →

Peers

Sarah Smith

MB

GENET

PS

CR

CB

Heather Callaway United Kingdom

Debbie K. Goode United Kingdom

Phil Snell United Kingdom

M. Leipoldt Germany

Brandon J. Mannion United States

Thomas Montavon Switzerland

Verena Heinrich Germany

Natalia Soshnikova Germany

Guillaume Andrey Switzerland

Virginie Tissières Switzerland

Heather Callaway United Kingdom

Sarah Smith

967 ×1.2

MB

350 ×1.1

GENET

271 ×1.1

PS

78 ×1.3

CR

50 ×1.0

CB

Citations per year, relative to Sarah Smith Sarah Smith (= 1×) peers Heather Callaway

Countries citing papers authored by Sarah Smith

Since Specialization

Citations

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

Fields of papers citing papers by Sarah Smith

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Smith

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Pauls, Stefan, Sarah Smith, & Greg Elgar. (2012). Lens development depends on a pair of highly conserved Sox21 regulatory elements. Developmental Biology. 365(1). 310–318. 15 indexed citations

2.

Woolfe, Adam, Debbie K. Goode, Julie E. Cooke, et al.. (2007). CONDOR: a database resource of developmentally associated conserved non-coding elements. BMC Developmental Biology. 7(1). 100–100. 56 indexed citations

3.

Edwards, Yvonne J. K., Klaudia Walter, Gayle K. McEwen, et al.. (2005). Characterisation of conserved non-coding sequences in vertebrate genomes using bioinformatics, statistics and functional studies. Comparative Biochemistry and Physiology Part D Genomics and Proteomics. 1(1). 46–58. 6 indexed citations

4.

Woolfe, Adam, Martin Goodson, Debbie K. Goode, et al.. (2004). Highly Conserved Non-Coding Sequences Are Associated with Vertebrate Development. PLoS Biology. 3(1). e7–e7. 723 indexed citations breakdown →

5.

Smith, Sarah, Judith A. Metcalfe, & Greg Elgar. (2001). Characterisation of two topoisomerase 1 genes in the pufferfish ( Fugu rubripes). Gene. 265(1-2). 195–204. 11 indexed citations

6.

Clark, Melody S., Sarah Smith, & Greg Elgar. (2001). Use of the Japanese Pufferfish (Fugu rubripes) in Comparative Genomics. Marine Biotechnology. 3(0). S130–S140. 13 indexed citations

7.

Smith, Sarah, Judith A. Metcalfe, & Greg Elgar. (2000). Identification and analysis of two snail genes in the pufferfish (Fugu rubripes) and mapping of human SNA to 20q. Gene. 247(1-2). 119–128. 13 indexed citations

8.

Elgar, Greg, Melody S. Clark, Stephen Meek, et al.. (1999). Generation and Analysis of 25 Mb of Genomic DNA from the Pufferfish Fugu rubripes by Sequence Scanning. Genome Research. 9(10). 960–971. 70 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.

Explore authors with similar magnitude of impact