Sarah Thurston

2.1k total citations · 1 hit paper
18 papers, 1.5k citations indexed

About

Sarah Thurston is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Sarah Thurston has authored 18 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Ecology. Recurrent topics in Sarah Thurston's work include Microbial Metabolic Engineering and Bioproduction (3 papers), Clinical Nutrition and Gastroenterology (2 papers) and Microbial bioremediation and biosurfactants (2 papers). Sarah Thurston is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (3 papers), Clinical Nutrition and Gastroenterology (2 papers) and Microbial bioremediation and biosurfactants (2 papers). Sarah Thurston collaborates with scholars based in United States, United Kingdom and Australia. Sarah Thurston's co-authors include Jeffrey D. Saffer, E H Birkenmeier, Wayne N. Frankel, Lucy B. Rowe, Minoru S.H. Ko, Verity A. Letts, Janan T. Eppig, Joseph H. Nadeau, Lisa C. Stillwell and Kwong‐Kwok Wong and has published in prestigious journals such as Journal of Clinical Oncology, Genes & Development and Molecular and Cellular Biology.

In The Last Decade

Sarah Thurston

17 papers receiving 1.5k citations

Hit Papers

Maps from two interspecific backcross DNA panels availabl... 1994 2026 2004 2015 1994 100 200 300 400 500
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.

  1. Maps from two interspecific backcross DNA panels available as a community genetic mapping resource
    1994 550 citations Lucy B. Rowe, Joseph H. Nadeau et al. Mammalian Genome profile →

Peers

Sarah Thurston
Inna N. Shokolenko United States
Ravi Sirdeshmukh India
Alison Cozens United Kingdom
David B. Danner United States
James Denvir United States
Félix Claverie-Martı́n Spain
Massimo Mallardo Italy
Bernard S. Marasa United States
Bonita Coutermarsh United States
Ying Hu United States
Inna N. Shokolenko United States
Sarah Thurston
Citations per year, relative to Sarah Thurston Sarah Thurston (= 1×) peers Inna N. Shokolenko

Countries citing papers authored by Sarah Thurston

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Thurston

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Thurston

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

All Works

18 of 18 papers shown
1.
Kean, Iain, Joseph E. Wagner, Anisha Wijeyesekera, et al.. (2022). Profiling gut microbiota and bile acid metabolism in critically ill children. Scientific Reports. 12(1). 10432–10432. 14 indexed citations
2.
Wijeyesekera, Anisha, Josef Wagner, Marcus C. de Goffau, et al.. (2019). Multi-Compartment Profiling of Bacterial and Host Metabolites Identifies Intestinal Dysbiosis and Its Functional Consequences in the Critically Ill Child. Critical Care Medicine. 47(9). e727–e734. 25 indexed citations
3.
4.
Kolsum, Umme, Gavin C. Donaldson, Richa Singh, et al.. (2017). Blood and sputum eosinophils in COPD; relationship with bacterial load. Respiratory Research. 18(1). 88–88. 89 indexed citations
5.
Garcha, Davinder, Sarah Thurston, Anant Patel, et al.. (2012). Changes in prevalence and load of airway bacteria using quantitative PCR in stable and exacerbated COPD. Thorax. 67(12). 1075–1080. 159 indexed citations
6.
Leung, Marcus H. Y., Clare Ling, Holly Ciesielczuk, et al.. (2012). Streptococcus pseudopneumoniae Identification by Pherotype: a Method To Assist Understanding of a Potentially Emerging or Overlooked Pathogen. Journal of Clinical Microbiology. 50(5). 1684–1690. 7 indexed citations
7.
8.
Romine, Margaret F., Lisa C. Stillwell, Kwong‐Kwok Wong, et al.. (1999). Complete sequence of a 184 kb catabolic plasmid from Sphingomonas aromaticivorans strain F199.. Journal of Bacteriology. 181(5). 4 indexed citations
9.
Romine, Margaret F., Lisa C. Stillwell, Kwong‐Kwok Wong, et al.. (1999). Complete Sequence of a 184-Kilobase Catabolic Plasmid from Sphingomonas aromaticivorans F199. Journal of Bacteriology. 181(5). 1585–1602. 249 indexed citations
10.
Wong, Kwong‐Kwok, Michael McClelland, Lisa C. Stillwell, et al.. (1998). Identification and Sequence Analysis of a 27-Kilobase Chromosomal Fragment Containing a Salmonella Pathogenicity Island Located at 92 Minutes on the Chromosome Map of Salmonella enterica Serovar Typhimurium LT2. Infection and Immunity. 66(7). 3365–3371. 78 indexed citations
11.
Saffer, Jeffrey D. & Sarah Thurston. (1995). Short Exposures to 60 Hz Magnetic Fields Do Not Alter MYC Expression in HL60 or Daudi Cells. Radiation Research. 144(1). 18–18. 64 indexed citations
12.
Stillwell, Lisa C., Sarah Thurston, Richard Schneider, et al.. (1995). Physical mapping and characterization of a catabolic plasmid from the deep-subsurface bacterium Sphingomonas sp. strain F199. Journal of Bacteriology. 177(15). 4537–4539. 20 indexed citations
13.
Rowe, Lucy B., Joseph H. Nadeau, Wayne N. Frankel, et al.. (1994). Maps from two interspecific backcross DNA panels available as a community genetic mapping resource. Mammalian Genome. 5(5). 253–274. 550 indexed citations breakdown →
14.
Birkenmeier, E H, et al.. (1992). Fingerprinting genomes by use of PCR with primers that encode protein motifs or contain sequences that regulate gene expression. Mammalian Genome. 3(10). 537–545. 13 indexed citations
15.
Saffer, Jeffrey D., Stephen P. Jackson, & Sarah Thurston. (1990). SV40 stimulates expression of the transacting factor Sp1 at the mRNA level.. Genes & Development. 4(4). 659–666. 117 indexed citations
16.
Saffer, Jeffrey D., et al.. (1990). Localization of the gene for the trans-acting transcription factor Sp1 to the distal end of mouse chromosome 15. Genomics. 8(3). 571–574. 20 indexed citations
17.
Thurston, Sarah & Jeffrey D. Saffer. (1989). Ultraviolet shadowing nucleic acids on nylon membranes. Analytical Biochemistry. 178(1). 41–42. 35 indexed citations
18.
Saffer, Jeffrey D. & Sarah Thurston. (1989). A Negative Regulatory Element with Properties Similar to Those of Enhancers Is Contained within an Alu Sequence. Molecular and Cellular Biology. 9(2). 355–364. 81 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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