Shauna MacMillan

857 total citations
7 papers, 653 citations indexed

About

Shauna MacMillan is a scholar working on Clinical Psychology, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Shauna MacMillan has authored 7 papers receiving a total of 653 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Clinical Psychology, 3 papers in Cognitive Neuroscience and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Shauna MacMillan's work include Obsessive-Compulsive Spectrum Disorders (5 papers), Neurotransmitter Receptor Influence on Behavior (2 papers) and Autism Spectrum Disorder Research (2 papers). Shauna MacMillan is often cited by papers focused on Obsessive-Compulsive Spectrum Disorders (5 papers), Neurotransmitter Receptor Influence on Behavior (2 papers) and Autism Spectrum Disorder Research (2 papers). Shauna MacMillan collaborates with scholars based in United States, Canada and Japan. Shauna MacMillan's co-authors include David R. Rosenberg, Gregory J. Moore, Jennifer Ivey, Philip R. Szeszko, Sube Banerjee, Elisa Lorch, Marjorie McMeniman, Andrew R. Willan, Kathryn Lee and Ellen Hodnett and has published in prestigious journals such as American Journal of Psychiatry, Journal of the American Academy of Child & Adolescent Psychiatry and Neuropsychopharmacology.

In The Last Decade

Shauna MacMillan

7 papers receiving 616 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shauna MacMillan United States 7 389 277 183 149 141 7 653
Beatríz Camarena Mexico 20 567 1.5× 382 1.4× 107 0.6× 309 2.1× 256 1.8× 71 1.0k
Adham Mancini‐Marïe Canada 17 178 0.5× 356 1.3× 113 0.6× 101 0.7× 486 3.4× 42 926
David J. Nutt United Kingdom 5 186 0.5× 155 0.6× 219 1.2× 148 1.0× 86 0.6× 5 633
Carol L. Baym United States 12 197 0.5× 374 1.4× 81 0.4× 53 0.4× 68 0.5× 12 689
Anna Huang United States 14 141 0.4× 517 1.9× 173 0.9× 178 1.2× 137 1.0× 33 824
Monica Bosi Italy 10 214 0.6× 111 0.4× 144 0.8× 234 1.6× 232 1.6× 22 735
Kenneth Rando United States 6 172 0.4× 223 0.8× 94 0.5× 154 1.0× 67 0.5× 7 632
Laurie M. McCormick United States 20 296 0.8× 421 1.5× 116 0.6× 71 0.5× 383 2.7× 32 1.0k
Evelyn Kiive Estonia 16 236 0.6× 157 0.6× 74 0.4× 201 1.3× 148 1.0× 42 686
Scott W Woods United States 11 224 0.6× 249 0.9× 214 1.2× 153 1.0× 536 3.8× 17 964

Countries citing papers authored by Shauna MacMillan

Since Specialization
Citations

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

Fields of papers citing papers by Shauna MacMillan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shauna MacMillan

This figure shows the co-authorship network connecting the top 25 collaborators of Shauna MacMillan. A scholar is included among the top collaborators of Shauna MacMillan 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 Shauna MacMillan. Shauna MacMillan 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.
Stremler, Robyn, et al.. (2006). A Behavioral-Educational Intervention to Promote Maternal and Infant Sleep: A Pilot Randomized, Controlled Trial. SLEEP. 29(12). 1609–1615. 101 indexed citations
2.
Szeszko, Philip R., Shauna MacMillan, Marjorie McMeniman, et al.. (2004). Amygdala Volume Reductions in Pediatric Patients with Obsessive–Compulsive Disorder Treated with Paroxetine: Preliminary Findings. Neuropsychopharmacology. 29(4). 826–832. 109 indexed citations
3.
Szeszko, Philip R., Shauna MacMillan, Marjorie McMeniman, et al.. (2004). Brain Structural Abnormalities in Psychotropic Drug-Naive Pediatric Patients With Obsessive-Compulsive Disorder. American Journal of Psychiatry. 161(6). 1049–1056. 160 indexed citations
4.
MacMillan, Shauna, Philip R. Szeszko, Gregory J. Moore, et al.. (2003). Increased Amygdala: Hippocampal Volume Ratios Associated with Severity of Anxiety in Pediatric Major Depression. Journal of Child and Adolescent Psychopharmacology. 13(1). 65–73. 140 indexed citations
5.
Bolton, James M., Gregory J. Moore, Shauna MacMillan, Carol Stewart, & David R. Rosenberg. (2001). Case Study: Caudate Glutamatergic Changes With Paroxetine Persist After Medication Discontinuation in Pediatric OCD. Journal of the American Academy of Child & Adolescent Psychiatry. 40(8). 903–906. 48 indexed citations
6.
Rosenberg, David R., Shauna MacMillan, & Gregory J. Moore. (2001). Brain anatomy and chemistry may predict treatment response in paediatric obsessive–compulsive disorder. The International Journal of Neuropsychopharmacology. 4(2). 179–90. 54 indexed citations
7.
Rosenberg, David R., et al.. (2001). Increased Medial Thalamic Choline in Pediatric Obsessive-Compulsive Disorder as Detected by Quantitative in Vivo Spectroscopic Imaging. Journal of Child Neurology. 16(9). 636–641. 41 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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