Dennis S. Charney

Dennis S. Charney is an American biological psychiatrist and researcher, with expertise in the neurobiology and treatment of mood and anxiety disorders. He is the author of ''Neurobiology of Mental Illness'', ''The Physician's Guide to Depression and Bipolar Disorders'' and ''Molecular Biology for the Clinician'', as well as the author of over 600 original papers and chapters. In 2022, he was listed #49 on Research.com's "Top Medicine Scientists in the United States," with an h-index of 218 with 173,960 citations across 887 publications. Charney is known for demonstrating that ketamine is effective for treating depression. Ketamine's use as a rapidly-acting anti-depressant is recognized as a breakthrough treatment in mental illness.

He is a professor of psychiatry, professor of neuroscience and professor of pharmacology and systems therapeutics at Icahn School of Medicine at Mount Sinai in New York City.

In 2007, he became the Dean of the School and Executive Vice President for Academic Affairs of what was then known as the Mount Sinai Medical Center. In 2013, he was named President of Academic Affairs for the Mount Sinai Health System and as of 2024 still holds these roles.

With Steven Southwick, MD, Professor of Psychiatry at Yale University, Charney authored ''Resilience: The Science of Mastering Life's Greatest Challenges'', which reflects on the science of resilience and identifies ten factors that contribute to highly reliant people. With Eric J. Nestler, MD, he is author of ''Charney & Nestler's Neurobiology of Mental Illness'', which went into its sixth edition in 2025. Provided by Wikipedia
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  1. 1
    Use of Physiological Data From a Wearable Device to Identify SARS-CoV-2 Infection and Symptoms and Predict COVID-19 Diagnosis: Observational Study

    Use of Physiological Data From a Wearable Device to Identify SARS-CoV-2 Infection and Symptoms and Predict COVID-19 Diagnosis: Observational Study by Hirten, Robert P, Danieletto, Matteo, Tomalin, Lewis, Choi, Katie Hyewon, Zweig, Micol, Golden, Eddye, Kaur, Sparshdeep, Helmus, Drew, Biello, Anthony, Pyzik, Renata, Charney, Alexander, Miotto, Riccardo, Glicksberg, Benjamin S, Levin, Matthew, Nabeel, Ismail, Aberg, Judith, Reich, David, Charney, Dennis, Bottinger, Erwin P, Keefer, Laurie, Suarez-Farinas, Mayte, Nadkarni, Girish N, Fayad, Zahi A

    Published 2021
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  2. 2
    Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation

    Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation by Vaid, Akhil, Somani, Sulaiman, Russak, Adam J, De Freitas, Jessica K, Chaudhry, Fayzan F, Paranjpe, Ishan, Johnson, Kipp W, Lee, Samuel J, Miotto, Riccardo, Richter, Felix, Zhao, Shan, Beckmann, Noam D, Naik, Nidhi, Kia, Arash, Timsina, Prem, Lala, Anuradha, Paranjpe, Manish, Golden, Eddye, Danieletto, Matteo, Singh, Manbir, Meyer, Dara, O'Reilly, Paul F, Huckins, Laura, Kovatch, Patricia, Finkelstein, Joseph, Freeman, Robert M., Argulian, Edgar, Kasarskis, Andrew, Percha, Bethany, Aberg, Judith A, Bagiella, Emilia, Horowitz, Carol R, Murphy, Barbara, Nestler, Eric J, Schadt, Eric E, Cho, Judy H, Cordon-Cardo, Carlos, Fuster, Valentin, Charney, Dennis S, Reich, David L, Bottinger, Erwin P, Levin, Matthew A, Narula, Jagat, Fayad, Zahi A, Just, Allan C, Charney, Alexander W, Nadkarni, Girish N, Glicksberg, Benjamin S

    Published 2020
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