Sarah N. Wright

407 citations
8 papers · 290 · h-index 5

Impact in

Papers in

    • Genetics and Neurodevelopmental Disorders 1
    • Forensic and Genetic Research 1
    • Genetic Associations and Epidemiology 1
    • Bioinformatics and Genomic Networks 4
    • Microbial Metabolic Engineering and Bioproduction 1

Sarah N. Wright

5 papers receiving 285 citations

Peers

Sarah N. Wright
Comparison fields: 5 of 64
  • Molecular Medicine 48
  • Applied Microbiology and Biotechnology 15
  • Health Informatics 7
  • Genetics 73
  • Computational Theory and Mathematics 30
Replace Asha S. Nayar with:
Asha S. Nayar United States
Kevin L. Jagessar United States
Junso Fujita Japan
Zehui Tan China
Thomas Carzaniga Italy
Janina Reeder United States
Adriana K. Jones United States
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David C. Marciano United States
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Sarah N. Wright relative to Asha S. Nayar United States Asha S. Nayar's profile →
Citations per field
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Asha S. Nayar · 1×
Citations per year

Countries citing papers authored by Sarah N. Wright

Since Specialization
Citations

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

Fields of papers citing papers by Sarah N. Wright

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2019249
2 202416
3 202310
4 202310
5 20205
6 20250
7 20260
8 20260

About Sarah N. Wright

Sarah N. Wright is a scholar working on Genetics, Molecular Biology, Cancer Research, Spectroscopy and Cellular and Molecular Neuroscience, having authored 8 papers that have together received 290 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (4 papers), Genetics and Neurodevelopmental Disorders (1 paper), Cancer Genomics and Diagnostics (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper), Forensic and Genetic Research (1 paper), Advanced Proteomics Techniques and Applications (1 paper), Microfluidic and Capillary Electrophoresis Applications (1 paper) and Genetic Associations and Epidemiology (1 paper). The work is most often cited by research in Molecular Medicine (48 citations), Applied Microbiology and Biotechnology (15 citations), Health Informatics (7 citations), Genetics (73 citations) and Computational Theory and Mathematics (30 citations). Sarah N. Wright has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Lars C. Schrübbers, Meagan Hamblin, Allison J. Lopatkin, Graham Charles Walker, Jason H. Yang, Douglas McCloskey, Miguel A. Alcantar, Bernhard Ørn Palsson, James J. Collins and Christopher Churas. Their work appears in journals such as Electrophoresis, Molecular Systems Biology, Cancer Discovery, Cell Systems and EMBO Reports.

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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