Hannah M. Grayton

8 total papers · 735 total citations
7 papers, 467 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 467 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 Genetics and Neurodevelopmental Disorders (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 Genetics and Neurodevelopmental Disorders (2 papers). Hannah M. Grayton collaborates with scholars based in United Kingdom, Germany and Spain. Hannah M. Grayton's co-authors include David Collier, Cathy Fernandes, Markus Missler, Dan Rujescu, Benjamin W. Woodward, Astrid Rohlmann, Irina Dudanova, Takashi Makino, Evangelos Vassos and Joo Wook Ahn 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 441 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hannah M. Grayton 276 236 158 91 33 7 467
Nycole A. Copping 289 1.0× 214 0.9× 140 0.9× 84 0.9× 26 0.8× 13 448
Satoko Ise 239 0.9× 283 1.2× 210 1.3× 138 1.5× 22 0.7× 8 529
David C. Stoppel 295 1.1× 262 1.1× 185 1.2× 78 0.9× 21 0.6× 6 428
Volker Endris 321 1.2× 244 1.0× 229 1.4× 87 1.0× 12 0.4× 6 465
Henry G. S. Martin 170 0.6× 175 0.7× 191 1.2× 179 2.0× 22 0.7× 9 475
Poornima Manavalan 260 0.9× 326 1.4× 139 0.9× 48 0.5× 18 0.5× 5 422
Zhong Xuan 330 1.2× 238 1.0× 275 1.7× 110 1.2× 15 0.5× 9 484
Nan Pang 265 1.0× 217 0.9× 150 0.9× 88 1.0× 37 1.1× 19 514
Luis G. Rabaneda 185 0.7× 248 1.1× 109 0.7× 78 0.9× 41 1.2× 5 481
AnhThu Nguyen 249 0.9× 253 1.1× 236 1.5× 26 0.3× 32 1.0× 9 503

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

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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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