Alex DeCastro

1.5k total citations · 1 hit paper
7 papers, 872 citations indexed

About

Alex DeCastro is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Alex DeCastro has authored 7 papers receiving a total of 872 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cognitive Neuroscience, 3 papers in Psychiatry and Mental health and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Alex DeCastro's work include Functional Brain Connectivity Studies (3 papers), Schizophrenia research and treatment (3 papers) and Advanced Causal Inference Techniques (1 paper). Alex DeCastro is often cited by papers focused on Functional Brain Connectivity Studies (3 papers), Schizophrenia research and treatment (3 papers) and Advanced Causal Inference Techniques (1 paper). Alex DeCastro collaborates with scholars based in United States, Canada and Austria. Alex DeCastro's co-authors include Hugh Garavan, Hauke Bartsch, Terry L. Jernigan, Rita Z. Goldstein, Steven G. Heeringa, Kevin P. Conway, Daniel A. Zahs, Wesley K. Thompson, Alexandra Potter and Monte S. Buchsbaum and has published in prestigious journals such as Biological Psychiatry, Schizophrenia Research and Journal of Neurotrauma.

In The Last Decade

Alex DeCastro

7 papers receiving 867 citations

Hit Papers

Recruiting the ABCD sample: Design considerations and pro... 2018 2026 2020 2023 2018 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alex DeCastro United States 5 342 243 205 138 138 7 872
Gayathri J. Dowling United States 13 377 1.1× 194 0.8× 187 0.9× 145 1.1× 128 0.9× 20 1.1k
Divyangana Rakesh Australia 17 390 1.1× 350 1.4× 201 1.0× 138 1.0× 69 0.5× 45 974
Lucy S. King United States 22 729 2.1× 176 0.7× 153 0.7× 218 1.6× 95 0.7× 58 1.3k
Leah S. Richmond‐Rakerd United States 17 581 1.7× 108 0.4× 226 1.1× 118 0.9× 221 1.6× 44 1.2k
Jolien Rijlaarsdam Netherlands 18 353 1.0× 100 0.4× 86 0.4× 228 1.7× 146 1.1× 30 889
F.C. Verhulst Netherlands 16 585 1.7× 155 0.6× 248 1.2× 164 1.2× 404 2.9× 32 1.2k
Tomoyuki Nishino United States 9 370 1.1× 236 1.0× 100 0.5× 192 1.4× 114 0.8× 22 894
Helga Ask Norway 17 321 0.9× 78 0.3× 113 0.6× 212 1.5× 215 1.6× 70 908
Daniel S. Busso United States 13 679 2.0× 163 0.7× 120 0.6× 95 0.7× 62 0.4× 16 990
Anja Taanila Finland 14 261 0.8× 219 0.9× 118 0.6× 158 1.1× 276 2.0× 23 908

Countries citing papers authored by Alex DeCastro

Since Specialization
Citations

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

Fields of papers citing papers by Alex DeCastro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alex DeCastro

This figure shows the co-authorship network connecting the top 25 collaborators of Alex DeCastro. A scholar is included among the top collaborators of Alex DeCastro 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 Alex DeCastro. Alex DeCastro 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.
Mitelman, Serge A., Monte S. Buchsbaum, Bradley T. Christian, et al.. (2020). Relationship between white matter glucose metabolism and fractional anisotropy in healthy and schizophrenia subjects. Psychiatry Research Neuroimaging. 299. 111060–111060. 2 indexed citations
2.
Garavan, Hugh, Hauke Bartsch, Kevin P. Conway, et al.. (2018). Recruiting the ABCD sample: Design considerations and procedures. Developmental Cognitive Neuroscience. 32. 16–22. 808 indexed citations breakdown →
3.
Vyas, Nora S., Monte S. Buchsbaum, Douglas S. Lehrer, et al.. (2017). D2/D3 dopamine receptor binding with [F-18]fallypride correlates of executive function in medication-naïve patients with schizophrenia. Schizophrenia Research. 192. 442–456. 12 indexed citations
4.
Vyas, Nora S., Douglas S. Lehrer, Brian Merrill, et al.. (2017). 283. D2/D3 Dopamine Receptor Binding with [F-18] Fallypride Correlates of Executive Function in Medication-Naïve Patients with Schizophrenia. Biological Psychiatry. 81(10). S116–S117. 2 indexed citations
5.
Buchsbaum, Monte S., Alan N. Simmons, Alex DeCastro, Nikdokht Farid, & Scott C. Matthews. (2015). Clusters of Low 18 F-Fluorodeoxyglucose Uptake Voxels in Combat Veterans with Traumatic Brain Injury and Post-Traumatic Stress Disorder. Journal of Neurotrauma. 32(22). 1736–1750. 18 indexed citations
6.
Buchsbaum, Monte S., et al.. (2015). FDG-PET scans in patients with Kraepelinian and non-Kraepelinian schizophrenia. European Archives of Psychiatry and Clinical Neuroscience. 266(6). 481–494. 13 indexed citations
7.
Buchsbaum, Monte S., Ursula F. Bailer, Carl K. Hoh, et al.. (2011). Serotonin transporter binding after recovery from bulimia nervosa. International Journal of Eating Disorders. 45(3). 345–352. 17 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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