Sarah Ramsden

532 total citations
10 papers, 305 citations indexed

About

Sarah Ramsden is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Sarah Ramsden has authored 10 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Sarah Ramsden's work include Genetic Syndromes and Imprinting (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Cellular transport and secretion (2 papers). Sarah Ramsden is often cited by papers focused on Genetic Syndromes and Imprinting (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Cellular transport and secretion (2 papers). Sarah Ramsden collaborates with scholars based in United Kingdom, United States and Germany. Sarah Ramsden's co-authors include Kirsten Harvey, Stephen J. Moss, Hermann Schindelin, Hans Michael Maric, Verena Tretter, Antoine Triller, Jayanta Mukherjee, Paul Davies, Géraldine Gouzer and Karla Kretschmannova and has published in prestigious journals such as The Lancet, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

Sarah Ramsden

9 papers receiving 300 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sarah Ramsden United Kingdom 7 203 191 53 43 30 10 305
Jacqueline Gayet‐Primo United States 8 331 1.6× 360 1.9× 54 1.0× 21 0.5× 12 0.4× 12 426
Shinichi Matsushita Japan 11 243 1.2× 272 1.4× 49 0.9× 32 0.7× 24 0.8× 12 419
Bozena Fyk‐Kolodziej United States 12 297 1.5× 282 1.5× 84 1.6× 32 0.7× 7 0.2× 19 410
Brian O’Neill United States 11 168 0.8× 198 1.0× 30 0.6× 38 0.9× 31 1.0× 15 327
Varsha Jain India 9 158 0.8× 245 1.3× 43 0.8× 45 1.0× 7 0.2× 12 285
Debora Napoli Italy 9 69 0.3× 184 1.0× 41 0.8× 47 1.1× 68 2.3× 16 281
Seth J. Perlman United States 7 246 1.2× 216 1.1× 70 1.3× 29 0.7× 40 1.3× 10 380
NATALIA V. KAPOUSTA-BRUNEAU United States 9 249 1.2× 324 1.7× 14 0.3× 19 0.4× 16 0.5× 10 367
Karen L. Myhr United States 7 335 1.7× 293 1.5× 49 0.9× 38 0.9× 8 0.3× 10 399
Melanie Lalonde Canada 7 424 2.1× 481 2.5× 69 1.3× 38 0.9× 8 0.3× 12 574

Countries citing papers authored by Sarah Ramsden

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Ramsden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Ramsden

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

All Works

10 of 10 papers shown
1.
Ramsden, Sarah. (2023). Causes and prevention of caries (cavities) in dogs. The Veterinary Nurse. 14(3). 130–133. 1 indexed citations
2.
Koopmans, Frank, Iryna Paliukhovich, Sarah Ramsden, et al.. (2020). Glycine Receptor Complex Analysis Using Immunoprecipitation‐Blue Native Gel Electrophoresis‐Mass Spectrometry. PROTEOMICS. 20(3-4). e1900403–e1900403. 13 indexed citations
3.
Tretter, Verena, Ivan Milenković, Sarah Ramsden, et al.. (2011). Molecular Basis of the γ-Aminobutyric Acid A Receptor α3 Subunit Interaction with the Clustering Protein Gephyrin. Journal of Biological Chemistry. 286(43). 37702–37711. 87 indexed citations
4.
Mukherjee, Jayanta, Karla Kretschmannova, Géraldine Gouzer, et al.. (2011). The Residence Time of GABAARs at Inhibitory Synapses Is Determined by Direct Binding of the Receptor α1 Subunit to Gephyrin. Journal of Neuroscience. 31(41). 14677–14687. 132 indexed citations
6.
Price, C.J., Jenny Crinion, Alexander Leff, et al.. (2010). Lesion sites that predict the ability to gesture how an object is used.. PubMed. 148(3). 243–58. 18 indexed citations
7.
Saihan, Zubin, Zheng Li, Sarah Ramsden, et al.. (2009). Clinical and biochemical effects of the E139K missense mutation in the TIMP3 gene, associated with Sorsby fundus dystrophy.. PubMed. 15. 1218–30. 20 indexed citations
8.
Wallace, Andrew J., et al.. (2006). Detection of a deletion of exons 8–16 of the UBE3A gene in familial Angelman syndrome using a semi-quantitative dosage PCR based assay. European Journal of Medical Genetics. 49(6). 472–480. 12 indexed citations
9.
Watson, Peter H., Sarah Ramsden, Margaret Barrow, et al.. (2001). Angelman syndrome phenotype associated with mutations in MECP2.. Journal of Medical Genetics. 1 indexed citations
10.
Clayton‐Smith, Jill, Peter H. Watson, Sarah Ramsden, & Graeme C. Black. (2000). Somatic mutation in the MECP2 gene may be a cause of non-lethal neurodevelopmental diosrder in males.. The Lancet. 6 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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