Emma Ashwin

40 total papers · 3.8k total citations
17 papers, 2.6k citations indexed

About

Emma Ashwin is a scholar working on Cognitive Neuroscience, Molecular Biology and Genetics. According to data from OpenAlex, Emma Ashwin has authored 17 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cognitive Neuroscience, 4 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in Emma Ashwin's work include Autism Spectrum Disorder Research (11 papers), Child Development and Digital Technology (4 papers) and Sexual Differentiation and Disorders (3 papers). Emma Ashwin is often cited by papers focused on Autism Spectrum Disorder Research (11 papers), Child Development and Digital Technology (4 papers) and Sexual Differentiation and Disorders (3 papers). Emma Ashwin collaborates with scholars based in United Kingdom, United States and Israel. Emma Ashwin's co-authors include Simon Baron‐Cohen, Bonnie Auyeung, Bhismadev Chakrabarti, Rebecca Knickmeyer, Michael Lombardo, Kevin Taylor, Gerald Hackett, Chris Ashwin, Teresa Tavassoli and Ofer Golan and has published in prestigious journals such as Journal of Neuroscience, Biological Psychiatry and Psychological Science.

In The Last Decade

Emma Ashwin

17 papers receiving 2.5k citations

Hit Papers

Why Are Autism Spectrum C... 2011 2026 2016 2021 2011 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Emma Ashwin 1.7k 610 549 499 447 17 2.6k
Amber Ruigrok 2.0k 1.2× 567 0.9× 499 0.9× 787 1.6× 142 0.3× 26 2.6k
Matthew K. Belmonte 2.8k 1.7× 1.1k 1.9× 369 0.7× 510 1.0× 919 2.1× 47 4.1k
Joseph Piven 1.9k 1.1× 1.1k 1.8× 299 0.5× 724 1.5× 450 1.0× 15 2.9k
Jeff Munson 2.4k 1.4× 958 1.6× 436 0.8× 816 1.6× 257 0.6× 31 2.8k
Brendon M. Nacewicz 1.5k 0.9× 385 0.6× 246 0.4× 797 1.6× 111 0.2× 14 2.4k
Teresa Tavassoli 1.9k 1.2× 578 0.9× 259 0.5× 573 1.1× 254 0.6× 48 2.5k
Leanna M. Hernandez 1.5k 0.9× 337 0.6× 232 0.4× 330 0.7× 169 0.4× 33 2.4k
Elizabeth A. Wehner 1.4k 0.9× 603 1.0× 275 0.5× 636 1.3× 145 0.3× 13 2.1k
Raun D. Melmed 1.4k 0.8× 783 1.3× 240 0.4× 723 1.4× 386 0.9× 40 2.6k
Liliana Ruta 1.5k 0.9× 480 0.8× 391 0.7× 899 1.8× 167 0.4× 41 2.2k

Countries citing papers authored by Emma Ashwin

Since Specialization
Citations

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

Fields of papers citing papers by Emma Ashwin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emma Ashwin

This figure shows the co-authorship network connecting the top 25 collaborators of Emma Ashwin. A scholar is included among the top collaborators of Emma Ashwin 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 Emma Ashwin. Emma Ashwin 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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