Daniel M. Alschuler

1.0k total citations
29 papers, 685 citations indexed

About

Daniel M. Alschuler is a scholar working on Cognitive Neuroscience, Pharmacology and Experimental and Cognitive Psychology. According to data from OpenAlex, Daniel M. Alschuler has authored 29 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cognitive Neuroscience, 8 papers in Pharmacology and 6 papers in Experimental and Cognitive Psychology. Recurrent topics in Daniel M. Alschuler's work include Neural and Behavioral Psychology Studies (9 papers), Functional Brain Connectivity Studies (7 papers) and Neural dynamics and brain function (6 papers). Daniel M. Alschuler is often cited by papers focused on Neural and Behavioral Psychology Studies (9 papers), Functional Brain Connectivity Studies (7 papers) and Neural dynamics and brain function (6 papers). Daniel M. Alschuler collaborates with scholars based in United States, Lebanon and United Kingdom. Daniel M. Alschuler's co-authors include Gerard E. Bruder, Jürgen Kayser, Craig E. Tenke, Shiva Fekri, Christopher J. Kroppmann, Jonathan W. Stewart, Patrick J. McGrath, Jorge E. Alvarenga, Karine Abou Khaled and Jan Claassen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and NeuroImage.

In The Last Decade

Daniel M. Alschuler

26 papers receiving 673 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel M. Alschuler United States 15 422 161 116 108 61 29 685
Lauren V. Moran United States 14 498 1.2× 196 1.2× 93 0.8× 132 1.2× 37 0.6× 30 909
Róisín Ní Mhuircheartaigh Ireland 10 763 1.8× 209 1.3× 134 1.2× 48 0.4× 70 1.1× 15 1.1k
Sabrina K. Syan Canada 16 390 0.9× 193 1.2× 92 0.8× 182 1.7× 27 0.4× 26 826
Alessandro Pigoni Italy 15 184 0.4× 241 1.5× 86 0.7× 86 0.8× 35 0.6× 44 617
Haggai Sharon Israel 18 455 1.1× 159 1.0× 268 2.3× 166 1.5× 42 0.7× 57 1.0k
Yoshihito Shigihara Japan 17 452 1.1× 161 1.0× 45 0.4× 138 1.3× 59 1.0× 50 920
Adriane Icenhour Germany 17 347 0.8× 195 1.2× 109 0.9× 94 0.9× 58 1.0× 40 742
Aleksandra Wierzbicka Poland 15 526 1.2× 171 1.1× 73 0.6× 488 4.5× 27 0.4× 38 1.0k
Xavier Preudʼhomme United States 13 176 0.4× 61 0.4× 76 0.7× 138 1.3× 30 0.5× 25 491
Christian Vollmert Germany 14 236 0.6× 157 1.0× 73 0.6× 88 0.8× 44 0.7× 21 754

Countries citing papers authored by Daniel M. Alschuler

Since Specialization
Citations

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

Fields of papers citing papers by Daniel M. Alschuler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel M. Alschuler. 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 Daniel M. Alschuler. The network helps show where Daniel M. Alschuler may publish in the future.

Co-authorship network of co-authors of Daniel M. Alschuler

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel M. Alschuler. A scholar is included among the top collaborators of Daniel M. Alschuler 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 Daniel M. Alschuler. Daniel M. Alschuler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hasin, Deborah S., Melanie M. Wall, Daniel M. Alschuler, et al.. (2025). Cannabis Legalization and Cannabis Use Disorder by Sex in Veterans Health Administration Patients, 2005–2019. Substance Use & Misuse. 61(2). 296–306.
2.
Fink, David S., Hillary Samples, Carol A. Malte, et al.. (2025). Cannabis legalization and increasing cannabis use in the United States: Data from urine toxicology testing in emergency room patients. International Journal of Drug Policy. 138. 104765–104765. 1 indexed citations
3.
Kimhy, David, Luz H. Ospina, Melanie M. Wall, et al.. (2025). Telehealth-Based vs In-Person Aerobic Exercise in Individuals With Schizophrenia: Comparative Analysis of Feasibility, Safety, and Efficacy. JMIR Mental Health. 12. e68251–e68251.
4.
Brickman, Adam M., Lok‐Kin Yeung, Daniel M. Alschuler, et al.. (2023). Dietary flavanols restore hippocampal-dependent memory in older adults with lower diet quality and lower habitual flavanol consumption. Proceedings of the National Academy of Sciences. 120(23). e2216932120–e2216932120. 29 indexed citations
5.
Mariani, John J., Cale Basaraba, Martina Pavlicová, et al.. (2023). Open label trial of lofexidine-assisted non-opioid induction onto naltrexone extended-release injection for opioid use disorder. The American Journal of Drug and Alcohol Abuse. 49(5). 618–629. 2 indexed citations
6.
Yeung, Lok‐Kin, Daniel M. Alschuler, Melanie M. Wall, et al.. (2023). Multivitamin Supplementation Improves Memory in Older Adults: A Randomized Clinical Trial. American Journal of Clinical Nutrition. 118(1). 273–282. 23 indexed citations
7.
Hasin, Deborah S., Melanie M. Wall, Daniel M. Alschuler, et al.. (2023). Chronic pain, cannabis legalisation, and cannabis use disorder among patients in the US Veterans Health Administration system, 2005 to 2019: a repeated, cross-sectional study. The Lancet Psychiatry. 10(11). 877–886. 9 indexed citations
8.
Sania, Ayesha, et al.. (2023). Risk factors for COVID-19 mortality among telehealth patients in Bangladesh: A prospective cohort study. SHILAP Revista de lepidopterología. 3(6). e0001971–e0001971. 2 indexed citations
9.
Mahoney, James J., Erin L. Winstanley, Felipe Castillo, et al.. (2023). A pilot study investigating cognitive impairment associated with opioid overdose. Drug and Alcohol Dependence. 247. 109865–109865. 2 indexed citations
10.
Hasin, Deborah S., Melanie M. Wall, C. Jean Choi, et al.. (2023). State Cannabis Legalization and Cannabis Use Disorder in the US Veterans Health Administration, 2005 to 2019. JAMA Psychiatry. 80(4). 380–380. 24 indexed citations
11.
Raby, Wilfrid N., C. Jean Choi, Cale Basaraba, et al.. (2021). Intranasal oxytocin may improve odds of abstinence in cocaine-dependent patients: results from a preliminary study. SHILAP Revista de lepidopterología. 2. 100016–100016. 5 indexed citations
12.
Wickramaratne, Priya, Daniel M. Alschuler, Myrna M. Weissman, et al.. (2021). Dissociating disorders of depression, anxiety, and their comorbidity with measures of emotional processing: A joint analysis of visual brain potentials and auditory perceptual asymmetries. Biological Psychology. 160. 108040–108040. 3 indexed citations
13.
Ang, Yuen‐Siang, Gerard E. Bruder, John G. Keilp, et al.. (2020). Exploration of baseline and early changes in neurocognitive characteristics as predictors of treatment response to bupropion, sertraline, and placebo in the EMBARC clinical trial. Psychological Medicine. 52(13). 2441–2449. 5 indexed citations
14.
Kayser, Jürgen, Craig E. Tenke, Karen Abraham, et al.. (2017). Motivated attention and family risk for depression: Neuronal generator patterns at scalp elicited by lateralized aversive pictures reveal blunted emotional responsivity. NeuroImage Clinical. 14. 692–707. 16 indexed citations
15.
Kayser, Jürgen, Craig E. Tenke, Karen Abraham, et al.. (2016). Neuronal generator patterns at scalp elicited by lateralized aversive pictures reveal consecutive stages of motivated attention. NeuroImage. 142. 337–350. 19 indexed citations
16.
Kishon, Ronit, Karen Abraham, Daniel M. Alschuler, et al.. (2015). Lateralization for speech predicts therapeutic response to cognitive behavioral therapy for depression. Psychiatry Research. 228(3). 606–611. 5 indexed citations
17.
Bruder, Gerard E., Jorge E. Alvarenga, Daniel M. Alschuler, et al.. (2014). Neurocognitive predictors of antidepressant clinical response. Journal of Affective Disorders. 166. 108–114. 61 indexed citations
18.
Alschuler, Daniel M., Craig E. Tenke, Gerard E. Bruder, & Jürgen Kayser. (2013). Identifying electrode bridging from electrical distance distributions: A survey of publicly-available EEG data using a new method. Clinical Neurophysiology. 125(3). 484–490. 49 indexed citations
19.
Bruder, Gerard E., Jonathan W. Stewart, David J. Hellerstein, et al.. (2012). Abnormal functional brain asymmetry in depression: Evidence of biologic commonality between major depression and dysthymia. Psychiatry Research. 196(2-3). 250–254. 30 indexed citations
20.
Tenke, Craig E., Jürgen Kayser, Shiva Fekri, et al.. (2011). Current Source Density Measures of Electroencephalographic Alpha Predict Antidepressant Treatment Response. Biological Psychiatry. 70(4). 388–394. 124 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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