Michelle Dunn

43 papers receiving 2.3k citations

Peers

Michelle Dunn
Comparison fields: 5 of 142
  • Cognitive Neuroscience 1.8k
  • Developmental and Educational Psychology 736
  • Psychiatry and Mental health 416
  • Clinical Psychology 467
  • Genetics 556
Replace Alexandra P. Key with:
Alexandra P. Key United States
Terje Falck‐Ytter Sweden
Anjana Bhat United States
Mark Strauss United States
Liliana Ruta Italy
David R. Simmons United Kingdom
Leslie Tucker United Kingdom
Kirrie J. Ballard Australia
Fiona Gibbon United Kingdom
Judith S. Gravel United States
Michelle Dunn relative to Alexandra P. Key United States Alexandra P. Key's profile →
Citations per field
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Alexandra P. Key · 1×
Citations per year

Countries citing papers authored by Michelle Dunn

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Dunn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003319
2 2001244
3 2001187
4 2000145
5 2005130
6 2009130
7 1996125
8 2007107
9 199695
10 200687
11 200686
12 200674
13 199967
14 199663
15 202061
16 199760
17 200156
18 199955
19 200549
20 199541

About Michelle Dunn

Michelle Dunn is a scholar working on Cognitive Neuroscience, Mechanical Engineering, Genetics, Developmental and Educational Psychology and Clinical Psychology, having authored 47 papers that have together received 2.4k indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (18 papers), Genetics and Neurodevelopmental Disorders (8 papers), Metallurgical Processes and Thermodynamics (8 papers), Language Development and Disorders (7 papers), Mineral Processing and Grinding (6 papers), Neuroscience and Music Perception (3 papers), Family and Disability Support Research (3 papers) and Manufacturing Process and Optimization (2 papers). The work is most often cited by research in Cognitive Neuroscience (1.8k citations), Developmental and Educational Psychology (736 citations), Psychiatry and Mental health (416 citations), Clinical Psychology (467 citations) and Genetics (556 citations). Michelle Dunn has collaborated with scholars based in Australia, United States and Malaysia. Frequent co-authors include Isabelle Rapin, Deborah Fein, Doris Allen, Lynn Waterhouse, Carl Feinstein, Hilary Gomes, Michael C. Stevens, Judith S. Gravel, Miriam Liss and Robin D. Morris. Their work appears in journals such as Journal of Autism and Developmental Disorders, Ironmaking & Steelmaking Processes Products and Applications, Metallurgical and Materials Transactions B, Developmental Neuropsychology and Journal of Child Psychology and Psychiatry.

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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