Charles DeBattista

10.5k total citations
90 papers, 4.1k citations indexed

About

Charles DeBattista is a scholar working on Pharmacology, Psychiatry and Mental health and Biological Psychiatry. According to data from OpenAlex, Charles DeBattista has authored 90 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Pharmacology, 32 papers in Psychiatry and Mental health and 28 papers in Biological Psychiatry. Recurrent topics in Charles DeBattista's work include Treatment of Major Depression (48 papers), Tryptophan and brain disorders (28 papers) and Schizophrenia research and treatment (15 papers). Charles DeBattista is often cited by papers focused on Treatment of Major Depression (48 papers), Tryptophan and brain disorders (28 papers) and Schizophrenia research and treatment (15 papers). Charles DeBattista collaborates with scholars based in United States, Australia and Singapore. Charles DeBattista's co-authors include Alan F. Schatzberg, Joseph K. Belanoff, Michael E. Thase, Maurizio Fava, Joel A. Posener, Anthony J. Rothschild, Leanne M. Williams, Madhukar H. Trivedi, A F Schatzberg and Jennifer Poirier and has published in prestigious journals such as JAMA, Annals of Internal Medicine and American Journal of Psychiatry.

In The Last Decade

Charles DeBattista

89 papers receiving 3.9k citations

Peers

Charles DeBattista
Anthony J. Rothschild United States
Katherine J. Aitchison United Kingdom
Astrid Zobel Germany
Richard C. Shelton United States
Wei Zheng China
I. Nicol Ferrier United Kingdom
Anthony J. Rothschild United States
Charles DeBattista
Citations per year, relative to Charles DeBattista Charles DeBattista (= 1×) peers Anthony J. Rothschild

Countries citing papers authored by Charles DeBattista

Since Specialization
Citations

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

Fields of papers citing papers by Charles DeBattista

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charles DeBattista

This figure shows the co-authorship network connecting the top 25 collaborators of Charles DeBattista. A scholar is included among the top collaborators of Charles DeBattista 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 Charles DeBattista. Charles DeBattista 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.
Parikh, Sagar V., Scott T. Aaronson, Sanjay J. Mathew, et al.. (2023). Efficacy and safety of zuranolone co-initiated with an antidepressant in adults with major depressive disorder: results from the phase 3 CORAL study. Neuropsychopharmacology. 49(2). 467–475. 15 indexed citations
2.
Hoeppner, Bettina B., Marlene P. Freeman, Martina Flynn, et al.. (2022). Effect of Concomitant Benzodiazepines on the Antidepressant Effects of Ketamine. The Journal of Clinical Psychiatry. 84(1). 4 indexed citations
3.
McInnes, L. Alison, et al.. (2022). A retrospective analysis of ketamine intravenous therapy for depression in real-world care settings. Journal of Affective Disorders. 301. 486–495. 34 indexed citations
4.
DeBattista, Charles & Alan F. Schatzberg. (2021). The Black Book of Psychotropic Dosing and Monitoring.. PubMed. 51(1). 8–58. 3 indexed citations
5.
Forester, Brent P., Sagar V. Parikh, Sara L. Weisenbach, et al.. (2020). Combinatorial Pharmacogenomic Testing Improves Outcomes for Older Adults With Depression. American Journal of Geriatric Psychiatry. 28(9). 933–945. 16 indexed citations
6.
Dunlop, Boadie W., Sagar V. Parikh, Anthony J. Rothschild, et al.. (2019). Comparing sensitivity to change using the 6-item versus the 17-item Hamilton depression rating scale in the GUIDED randomized controlled trial. BMC Psychiatry. 19(1). 420–420. 22 indexed citations
7.
Salloum, Naji C., Maurizio Fava, Marlene P. Freeman, et al.. (2018). Efficacy of intravenous ketamine treatment in anxious versus nonanxious unipolar treatment-resistant depression. Depression and Anxiety. 36(3). 235–243. 36 indexed citations
8.
Schatzberg, Alan F., Charles DeBattista, Laura C. Lazzeroni, et al.. (2015). ABCB1 Genetic Effects on Antidepressant Outcomes: A Report From the iSPOT-D Trial. American Journal of Psychiatry. 172(8). 751–759. 54 indexed citations
9.
Gatt, Justine M., et al.. (2015). Cognitive and emotional biomarkers of melancholic depression: An iSPOT-D report. Journal of Affective Disorders. 176. 141–150. 25 indexed citations
10.
Arns, Martijn, Amit Etkin, Ulrich Hegerl, et al.. (2015). Frontal and rostral anterior cingulate (rACC) theta EEG in depression: Implications for treatment outcome?. European Neuropsychopharmacology. 25(8). 1190–1200. 83 indexed citations
11.
Saveanu, Radu V., Amit Etkin, Anne‐Marie Duchemin, et al.. (2015). The International Study to Predict Optimized Treatment in Depression (iSPOT-D): Outcomes from the acute phase of antidepressant treatment. Journal of Psychiatric Research. 61. 1–12. 106 indexed citations
12.
Rush, A. John, Anthony Harris, Philip Boyce, et al.. (2014). Impairment and distress patterns distinguishing the melancholic depression subtype: An iSPOT-D report. Journal of Affective Disorders. 174. 493–502. 15 indexed citations
13.
Tennakoon, Lakshika, Jennifer Keller, Jane Sarginson, et al.. (2014). ABCB1 (MDR1) predicts remission on P-gp substrates in chronic depression. The Pharmacogenomics Journal. 15(4). 332–339. 28 indexed citations
14.
Gomez, Rowena, Joel A. Posener, Jennifer Keller, et al.. (2009). Effects of major depression diagnosis and cortisol levels on indices of neurocognitive function. Psychoneuroendocrinology. 34(7). 1012–1018. 48 indexed citations
15.
Fava, Maurizio, Michael E. Thase, & Charles DeBattista. (2005). A Multicenter, Placebo-Controlled Study of Modafinil Augmentation in Partial Responders to Selective Serotonin Reuptake Inhibitors With Persistent Fatigue and Sleepiness. The Journal of Clinical Psychiatry. 66(1). 85–93. 141 indexed citations
16.
DeBattista, Charles. (2005). Executive dysfunction in major depressive disorder. Expert Review of Neurotherapeutics. 5(1). 79–83. 41 indexed citations
17.
DeBattista, Charles, et al.. (2004). A Prospective Trial of Modafinil as an Adjunctive Treatment of Major Depression. Journal of Clinical Psychopharmacology. 24(1). 87–90. 105 indexed citations
18.
Posener, Joel A., Charles DeBattista, Gordon H. Williams, & Alan F. Schatzberg. (2001). Cortisol Feedback During the HPA Quiescent Period in Patients With Major Depression. American Journal of Psychiatry. 158(12). 2083–2085. 12 indexed citations
19.
DeBattista, Charles & Kurt Mueller. (2001). Is Electroconvulsive Therapy Effective for the Depressed Patient with Comorbid Borderline Personality Disorder?. Journal of Ect. 17(2). 91–98. 37 indexed citations
20.
DeBattista, Charles & Kurt Mueller. (1995). Sumatriptan Prophylaxis for Postelectroconvulsive Therapy Headaches. Headache The Journal of Head and Face Pain. 35(8). 502–503. 11 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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