Hannah M. Grayton

741 total citations
7 papers, 470 citations indexed

About

Hannah M. Grayton is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Hannah M. Grayton has authored 7 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Hannah M. Grayton's work include Congenital heart defects research (4 papers), Genomic variations and chromosomal abnormalities (4 papers) and RNA regulation and disease (2 papers). Hannah M. Grayton is often cited by papers focused on Congenital heart defects research (4 papers), Genomic variations and chromosomal abnormalities (4 papers) and RNA regulation and disease (2 papers). Hannah M. Grayton collaborates with scholars based in United Kingdom, Germany and France. Hannah M. Grayton's co-authors include David Collier, Cathy Fernandes, Markus Missler, Dan Rujescu, Benjamin W. Woodward, Irina Dudanova, Astrid Rohlmann, Joo Wook Ahn, Sarah Curran and Caroline Mackie Ogilvie and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Progress in Neurobiology.

In The Last Decade

Hannah M. Grayton

7 papers receiving 444 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hannah M. Grayton United Kingdom 7 276 238 158 91 33 7 470
Sacha Genovesi Italy 15 185 0.7× 316 1.3× 168 1.1× 116 1.3× 30 0.9× 23 584
Audrey Guilmatre United States 8 358 1.3× 401 1.7× 108 0.7× 134 1.5× 14 0.4× 9 664
Angelika Rieß Germany 11 460 1.7× 411 1.7× 245 1.6× 98 1.1× 36 1.1× 20 756
Satoko Ise Japan 7 242 0.9× 284 1.2× 211 1.3× 138 1.5× 22 0.7× 8 531
Elena Bacchelli Italy 16 512 1.9× 343 1.4× 383 2.4× 96 1.1× 37 1.1× 28 791
David C. Stoppel United States 6 298 1.1× 265 1.1× 187 1.2× 79 0.9× 22 0.7× 6 435
Nan Pang China 10 268 1.0× 219 0.9× 151 1.0× 89 1.0× 38 1.2× 21 519
Bryan E. McGill United States 4 396 1.4× 329 1.4× 259 1.6× 63 0.7× 37 1.1× 9 565
Zhong Xuan United States 7 330 1.2× 239 1.0× 278 1.8× 110 1.2× 15 0.5× 9 489
Volker Endris Germany 3 320 1.2× 243 1.0× 229 1.4× 87 1.0× 12 0.4× 6 467

Countries citing papers authored by Hannah M. Grayton

Since Specialization
Citations

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

Fields of papers citing papers by Hannah M. Grayton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hannah M. Grayton. 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 Hannah M. Grayton. The network helps show where Hannah M. Grayton may publish in the future.

Co-authorship network of co-authors of Hannah M. Grayton

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

All Works

7 of 7 papers shown
1.
Brown, Richard S., Hannah M. Grayton, John H. Livingston, et al.. (2020). Clinical and radiological characterization of novel FIG4 ‐related combined system disease with neuropathy. Clinical Genetics. 98(2). 147–154. 13 indexed citations
2.
Didriksen, Michael, Kim Fejgin, Simon Nilsson, et al.. (2016). Persistent gating deficit and increased sensitivity to NMDA receptor antagonism after puberty in a new mouse model of the human 22q11.2 microdeletion syndrome: a study in male mice. Journal of Psychiatry and Neuroscience. 42(1). 48–58. 57 indexed citations
3.
Grayton, Hannah M., Irina Dudanova, Astrid Rohlmann, et al.. (2015). Genetic targeting of NRXN2 in mice unveils role in excitatory cortical synapse function and social behaviors. Frontiers in Synaptic Neuroscience. 7. 3–3. 61 indexed citations
4.
McLysaght, Aoife, Takashi Makino, Hannah M. Grayton, et al.. (2013). Ohnologs are overrepresented in pathogenic copy number mutations. Proceedings of the National Academy of Sciences. 111(1). 361–366. 45 indexed citations
5.
Curran, Sarah, Joo Wook Ahn, Hannah M. Grayton, David Collier, & Caroline Mackie Ogilvie. (2013). NRXN1 deletions identified by array comparative genome hybridisation in a clinical case series – further understanding of the relevance of NRXN1 to neurodevelopmental disorders. PubMed. 1(1). 4–4. 28 indexed citations
6.
Grayton, Hannah M., Markus Missler, David Collier, & Cathy Fernandes. (2013). Altered Social Behaviours in Neurexin 1α Knockout Mice Resemble Core Symptoms in Neurodevelopmental Disorders. PLoS ONE. 8(6). e67114–e67114. 137 indexed citations
7.
Grayton, Hannah M., Cathy Fernandes, Dan Rujescu, & David Collier. (2012). Copy number variations in neurodevelopmental disorders. Progress in Neurobiology. 99(1). 81–91. 129 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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