Daniel J. Müller
About
Daniel J. Müller is a scholar working on Psychiatry and Mental health, Pharmacology and Molecular Biology.
According to data from OpenAlex, Daniel J. Müller has authored 284 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Psychiatry and Mental health, 60 papers in Pharmacology and 56 papers in Molecular Biology. Recurrent topics in Daniel J. Müller's work include Schizophrenia research and treatment (49 papers), Pharmacogenetics and Drug Metabolism (46 papers) and Treatment of Major Depression (41 papers). Daniel J. Müller is often cited by papers focused on Schizophrenia research and treatment (49 papers), Pharmacogenetics and Drug Metabolism (46 papers) and Treatment of Major Depression (41 papers). Daniel J. Müller collaborates with scholars based in Canada, United States and Germany. Daniel J. Müller's co-authors include James L. Kennedy, Arun K. Tiwari, Clement C. Zai, Jeffrey A. Lieberman, Herbert Y. Meltzer, Sidney H. Kennedy, Eva J. Brandl, Vincenzo De Luca, Chad Bousman and Roumen Milev and has published in prestigious journals such as Journal of Clinical Oncology, Journal of Neuroscience and SHILAP Revista de lepidopterología.
In The Last Decade
Daniel J. Müller
272 papers receiving 7.4k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Daniel J. Müller Canada | 44 | 2.4k | 1.6k | 1.3k | 1.1k | 1.0k | 284 | 7.6k | ||
| Sunao Kaneko Japan | 46 | 3.3k 1.3× | 2.0k 1.3× | 665 0.5× | 684 0.6× | 864 0.8× | 317 | 7.6k | ||
| Katherine J. Aitchison United Kingdom | 44 | 1.9k 0.8× | 664 0.4× | 1.1k 0.9× | 376 0.3× | 564 0.5× | 159 | 6.0k | ||
| Joanna M. Biernacka United States | 39 | 1.2k 0.5× | 1.1k 0.7× | 622 0.5× | 386 0.3× | 986 0.9× | 213 | 4.9k | ||
| Nakao Iwata Japan | 52 | 3.0k 1.2× | 3.3k 2.1× | 1.5k 1.2× | 295 0.3× | 2.1k 2.1× | 482 | 11.4k | ||
| Ke Xu United States | 34 | 1.0k 0.4× | 1.4k 0.9× | 1.1k 0.9× | 204 0.2× | 752 0.7× | 139 | 6.8k | ||
| Jeffrey R. Bishop United States | 38 | 1.7k 0.7× | 719 0.5× | 386 0.3× | 652 0.6× | 608 0.6× | 162 | 4.4k | ||
| Ma‐Li Wong United States | 64 | 972 0.4× | 4.4k 2.8× | 1.1k 0.8× | 775 0.7× | 825 0.8× | 244 | 15.5k | ||
| Ashwin A. Patkar United States | 44 | 2.0k 0.8× | 972 0.6× | 1.8k 1.5× | 198 0.2× | 303 0.3× | 282 | 7.2k | ||
| Francis J. McMahon United States | 54 | 3.4k 1.4× | 2.4k 1.5× | 917 0.7× | 208 0.2× | 3.1k 3.0× | 188 | 9.1k | ||
| Del D. Miller United States | 52 | 5.0k 2.1× | 624 0.4× | 852 0.7× | 350 0.3× | 377 0.4× | 135 | 8.4k |
Countries citing papers authored by Daniel J. Müller
Since
Specialization
Citations
This map shows the geographic impact of Daniel J. Müller'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 J. Müller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Müller more than expected).
Fields of papers citing papers by Daniel J. Müller
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Daniel J. Müller. 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 J. Müller. The network helps show where Daniel J. Müller may publish in the future.
Co-authorship network of co-authors of Daniel J. Müller
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Müller. A scholar is included among the top collaborators of Daniel J. Müller 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 J. Müller. Daniel J. Müller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Brown, Lisa, et al.. (2025). Psychiatric Pharmacogenomic Testing. Psychiatric Clinics of North America. 48(2). 257–264.
2.
Buzibye, Allan, Barbara Castelnuovo, Robert C. Bollinger, et al.. (2025). Dolutegravir-associated hyperglycemia: a narrative review. AIDS Research and Therapy. 22(1). 93–93.
3.
Yoshida, Kazunari, Yona Lunsky, Daniel J. Müller, & Pushpal Desarkar. (2024). Prevalence of Psychotropic Medication Use and Psychotropic Polypharmacy in Autistic Adults With or Without Intellectual Disability. Journal of Autism and Developmental Disorders. 55(2). 457–471.
4.
Marshe, Victoria, Daniel M. Blumberger, Jordan F. Karp, et al.. (2024). CYP2D6 Phenotype Influences Pharmacokinetic Parameters of Venlafaxine: Results from a Population Pharmacokinetic Model in Older Adults with Depression. Clinical Pharmacology & Therapeutics. 115(5). 1065–1074.
5.
Müller, Daniel J., et al.. (2024). Severity of Vessel Color Changes and Macular and Peripheral Whitening in Malarial Retinopathy Are Associated with Higher Total Body and Sequestered Parasite Burdens. Tropical Medicine and Infectious Disease. 9(11). 279–279.
6.
Müller, Daniel J., et al.. (2024). Stability Analysis and Mitigation of Power Oscillations Between Parallel MMC-HVDC Connections Operating in Grid-Forming Mode in Offshore Energy Hubs. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU).
7.
Brown, Lisa, William V. Bobo, Cory A. Gall, Daniel J. Müller, & Chad Bousman. (2023). Pharmacomicrobiomics of Antidepressants in Depression: A Systematic Review. Journal of Personalized Medicine. 13(7). 1086–1086.
8.
Marshe, Victoria, George S. Alexopoulos, Patricia Marino, et al.. (2023). Genomic Investigation of Remission and Relapse of Psychotic Depression Treated with Sertraline plus Olanzapine: The STOP-PD II Study. Neuropsychobiology. 82(3). 168–178.
9.
Dhami, Prabhjot, Lena C. Quilty, Rudolf Uher, et al.. (2022). Response Inhibition and Predicting Response to Pharmacological and Cognitive Behavioral Therapy Treatments for Major Depressive Disorder: A Canadian Biomarker Integration Network for Depression Study. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 8(2). 162–170.
10.
Ali, Mohammad, Jee Su Suh, Stefanie Hassel, et al.. (2022). A detailed manual segmentation procedure for the hypothalamus for 3T T1-weighted MRI. MethodsX. 9. 101864–101864.
11.
Peitzsch, Mirko, Denise Kaden, Max Kurlbaum, et al.. (2021). Harmonization of LC-MS/MS Measurements of Plasma Free Normetanephrine, Metanephrine, and 3-Methoxytyramine. Clinical Chemistry. 67(8). 1098–1112.
12.
Karamperis, Kariofyllis, Maria Koromina, Μαρία Σκώκου, et al.. (2021). Economic evaluation in psychiatric pharmacogenomics: a systematic review. The Pharmacogenomics Journal. 21(4). 533–541.
13.
Caspani, Giorgia, Gustavo Turecki, Raymond W. Lam, et al.. (2021). Metabolomic signatures associated with depression and predictors of antidepressant response in humans: A CAN-BIND-1 report. Communications Biology. 4(1). 903–903.
14.
Marshe, Victoria, Farhana Islam, Małgorzata Maciukiewicz, et al.. (2020). Pharmacogenetic Implications for Antidepressant Pharmacotherapy in Late-Life Depression: A Systematic Review of the Literature for Response, Pharmacokinetics and Adverse Drug Reactions. American Journal of Geriatric Psychiatry. 28(6). 609–629.
15.
Ross, Colin J.D., et al.. (2019). Affectively Biased Competition: Sustained Attention is Tuned to Rewarding Expressions and is Not Modulated by Norepinephrine Receptor Gene Variant. Collabra Psychology. 5(1).
16.
Alders, Gésine L., Andrew D. Davis, Glenda MacQueen, et al.. (2019). Escitalopram ameliorates differences in neural activity between healthy comparison and major depressive disorder groups on an fMRI Emotional conflict task: A CAN-BIND-1 study. Journal of Affective Disorders. 264. 414–424.
17.
Sekaggya‐Wiltshire, Christine, Maxwell Chirehwa, Joseph Musaazi, et al.. (2019). Low Antituberculosis Drug Concentrations in HIV-Tuberculosis-Coinfected Adults with Low Body Weight: Is It Time To Update Dosing Guidelines?. Antimicrobial Agents and Chemotherapy. 63(6).
18.
Hicks, J. Kevin, Katrin Sangkuhl, Jesse J. Swen, et al.. (2017). Clinical pharmacogenetics implementation consortium guideline (CPIC) for CYP2D6 and CYP2C19 genotypes and dosing of tricyclic antidepressants: 2016 update. Data Archiving and Networked Services (DANS).
19.
Carregaro, Adriano Bonfim, et al.. (2012). Epidural anesthesia and postoperatory analgesia with alpha-2 adrenergic agonists and lidocaine for ovariohysterectomy in bitches.. PubMed. 76(3). 215–20.
20.
Müller, Daniel J., Tim Klempan, Vincenzo De Luca, et al.. (2005). The SNAP-25 gene may be associated with clinical response and weight gain in antipsychotic treatment of schizophrenia. Neuroscience Letters. 379(2). 81–89.
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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