Sarah Wright

50 papers receiving 4k citations

Peers

Sarah Wright
Comparison fields: 5 of 107
  • Geriatrics and Gerontology 279
  • Aging 108
  • Physiology 1.5k
  • Neurology 422
  • Developmental Neuroscience 53
Replace Mario Passalacqua with:
Mario Passalacqua Italy
Mansour Akbari Norway
David J. Meyers United States
Estela Área-Gómez United States
Claudia C.S. Chini United States
Farah H. Siddiqi United Kingdom
Matthew J. Hart United States
David Otaegui Spain
Lesley A. Kane United States
Joo‐Ho Shin South Korea
Sarah Wright relative to Mario Passalacqua Italy Mario Passalacqua's profile →
Citations per field
00.5×2×4×6×
Mario Passalacqua · 1×
Citations per year

Countries citing papers authored by Sarah Wright

Since Specialization
Citations

This map shows the geographic impact of Sarah 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 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 Wright more than expected).

Fields of papers citing papers by Sarah Wright

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008708
2 1994335
3 2000274
4 1997243
5 2013240
6 2014204
7 1999202
8 2005200
9 2008192
10 1991136
11 2000132
12 2009122
13 2013119
14 2000107
15 200099
16 200886
17 199664
18 200664
19 199853
20 200951

About Sarah Wright

Sarah Wright is a scholar working on Physiology, Genetics, Molecular Biology, Developmental Neuroscience and Neurology, having authored 51 papers that have together received 4.2k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (16 papers), Neurogenetic and Muscular Disorders Research (3 papers), Neonatal Respiratory Health Research (3 papers), DNA Repair Mechanisms (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Lipid metabolism and biosynthesis (2 papers), Cholesterol and Lipid Metabolism (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Geriatrics and Gerontology (279 citations), Aging (108 citations), Physiology (1.5k citations), Neurology (422 citations) and Developmental Neuroscience (53 citations). Sarah Wright has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include Russell E. Rydel, H. Michael Tucker, Steven Estus, Mark D. Wogulis, Anthony D. Postle, Elizabeth F. Brigham, Irene Griswold‐Prenner, Kevin D. Mills, Pinky Drosten Kushner and Diane T. Stephenson. Their work appears in journals such as Biochemical Society Transactions, Journal of Biological Chemistry, Neurobiology of Aging, Journal of Neurochemistry and Journal of Neuroscience.

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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