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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Predictive Modeling and Concentration of the Risk of Suicide: Implications for Preventive Interventions in the US Department of Veterans Affairs
John F. McCarthy, Robert M. Bossarte, Ira R. Katz, et al.
American Journal of Public Health (2015) Vol. 105, Iss. 9, pp. 1935-1942
Open Access | Times Cited: 218

Showing 1-25 of 218 citing articles:

Prediction Models for Suicide Attempts and Deaths
Bradley E. Belsher, Derek J. Smolenski, Larry D. Pruitt, et al.
JAMA Psychiatry (2019) Vol. 76, Iss. 6, pp. 642-642
Closed Access | Times Cited: 411
Predicting Suicide Attempts and Suicide Deaths Following Outpatient Visits Using Electronic Health Records
Gregory E. Simon, Eric Johnson, Jean M. Lawrence, et al.
American Journal of Psychiatry (2018) Vol. 175, Iss. 10, pp. 951-960
Open Access | Times Cited: 328
Major Physical Health Conditions and Risk of Suicide
Brian K. Ahmedani, Edward L. Peterson, Yong Hu, et al.
American Journal of Preventive Medicine (2017) Vol. 53, Iss. 3, pp. 308-315
Open Access | Times Cited: 222
Meta-Analysis of Longitudinal Cohort Studies of Suicide Risk Assessment among Psychiatric Patients: Heterogeneity in Results and Lack of Improvement over Time
Matthew Large, Muthusamy Kaneson, Nicholas Myles, et al.
PLoS ONE (2016) Vol. 11, Iss. 6, pp. e0156322-e0156322
Open Access | Times Cited: 217
Developing a practical suicide risk prediction model for targeting high‐risk patients in the Veterans health Administration
Ronald C. Kessler, Irving Hwang, Claire A. Hoffmire, et al.
International Journal of Methods in Psychiatric Research (2017) Vol. 26, Iss. 3
Open Access | Times Cited: 173
Suicide prediction models: a critical review of recent research with recommendations for the way forward
Ronald C. Kessler, Robert M. Bossarte, Alex Luedtke, et al.
Molecular Psychiatry (2019) Vol. 25, Iss. 1, pp. 168-179
Open Access | Times Cited: 169
A Brain-Centric Model of Suicidal Behavior
J. John Mann, Mina Rizk
American Journal of Psychiatry (2020) Vol. 177, Iss. 10, pp. 902-916
Open Access | Times Cited: 143
Military Sexual Trauma and Suicide Mortality
Rachel Kimerling, Kerry Makin-Byrd, Samantha A. Louzon, et al.
American Journal of Preventive Medicine (2015) Vol. 50, Iss. 6, pp. 684-691
Open Access | Times Cited: 155
Predicting suicides after outpatient mental health visits in the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS)
Ronald C. Kessler, Murray B. Stein, Maria Petukhova, et al.
Molecular Psychiatry (2016) Vol. 22, Iss. 4, pp. 544-551
Open Access | Times Cited: 150
Moving From Discovery to System-Wide Change: The Role of Research in a Learning Health Care System: Experience from Three Decades of Health Systems Research in the Veterans Health Administration
David Atkins, Amy M. Kilbourne, David J. Shulkin
Annual Review of Public Health (2017) Vol. 38, Iss. 1, pp. 467-487
Open Access | Times Cited: 149
Behavioral Indicators on a Mobile Sensing Platform Predict Clinically Validated Psychiatric Symptoms of Mood and Anxiety Disorders
Skyler Place, Danielle Blanch‐Hartigan, Channah Rubin, et al.
Journal of Medical Internet Research (2017) Vol. 19, Iss. 3, pp. e75-e75
Open Access | Times Cited: 122
Firearm ownership among American veterans: findings from the 2015 National Firearm Survey
Emily Cleveland, Deborah Azrael, Joseph A. Simonetti, et al.
Injury Epidemiology (2017) Vol. 4, Iss. 1
Open Access | Times Cited: 108
Development of an early-warning system for high-risk patients for suicide attempt using deep learning and electronic health records
Le Zheng, Oliver Wang, Shiying Hao, et al.
Translational Psychiatry (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 83
Racial/Ethnic Disparities in the Performance of Prediction Models for Death by Suicide After Mental Health Visits
R. Yates Coley, Eric Johnson, Gregory E. Simon, et al.
JAMA Psychiatry (2021) Vol. 78, Iss. 7, pp. 726-726
Open Access | Times Cited: 73
Natural language processing of clinical mental health notes may add predictive value to existing suicide risk models
Maxwell Levis, Christine Leonard Westgate, Jiang Gui, et al.
Psychological Medicine (2020) Vol. 51, Iss. 8, pp. 1382-1391
Open Access | Times Cited: 72
Evaluation of the Recovery Engagement and Coordination for Health–Veterans Enhanced Treatment Suicide Risk Modeling Clinical Program in the Veterans Health Administration
John F. McCarthy, Samantha A. Cooper, Kallisse R. Dent, et al.
JAMA Network Open (2021) Vol. 4, Iss. 10, pp. e2129900-e2129900
Open Access | Times Cited: 68
The Secondary Use of Electronic Health Records for Data Mining: Data Characteristics and Challenges
Tabinda Sarwar, Sattar Seifollahi, Jeffrey Chan, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 2, pp. 1-40
Open Access | Times Cited: 67
Time-varying associations of suicide with deployments, mental health conditions, and stressful life events among current and former US military personnel: a retrospective multivariate analysis
Yu‐Chu Shen, Jesse M. Cunha, Thomas V. Williams
The Lancet Psychiatry (2016) Vol. 3, Iss. 11, pp. 1039-1048
Closed Access | Times Cited: 82
Ten-year prediction of suicide death using Cox regression and machine learning in a nationwide retrospective cohort study in South Korea
Soo Beom Choi, Wanhyung Lee, Jin‐Ha Yoon, et al.
Journal of Affective Disorders (2018) Vol. 231, pp. 8-14
Closed Access | Times Cited: 73
Gender Differences in Lifetime Prevalence and Onset Timing of Suicidal Ideation and Suicide Attempt Among Post-9/11 Veterans and Nonveterans
Claire A. Hoffmire, Lindsey L. Monteith, Jeri E. Forster, et al.
Medical Care (2021) Vol. 59, pp. S84-S91
Closed Access | Times Cited: 49
Moral injury and peri- and post-military suicide attempts among post-9/11 veterans
Shira Maguen, Brandon J. Griffin, Dawne Vogt, et al.
Psychological Medicine (2022) Vol. 53, Iss. 7, pp. 3200-3209
Open Access | Times Cited: 34
High dimensional predictions of suicide risk in 4.2 million US Veterans using ensemble transfer learning
Sayera Dhaubhadel, Kumkum Ganguly, Ruy M. Ribeiro, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6
Gender Differences in Machine Learning Models of Trauma and Suicidal Ideation in Veterans of the Iraq and Afghanistan Wars
Jaimie L. Gradus, M. King, Isaac R. Galatzer‐Levy, et al.
Journal of Traumatic Stress (2017) Vol. 30, Iss. 4, pp. 362-371
Open Access | Times Cited: 52
Digital technology and clinical decision making in depression treatment: Current findings and future opportunities
Kevin A. Hallgren, Amy M. Bauer, David C. Atkins
Depression and Anxiety (2017) Vol. 34, Iss. 6, pp. 494-501
Open Access | Times Cited: 51
Health care contact and suicide risk documentation prior to suicide death: Results from the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS).
Jessica D. Ribeiro, Peter M. Gutierrez, Thomas E Joiner, et al.
Journal of Consulting and Clinical Psychology (2017) Vol. 85, Iss. 4, pp. 403-408
Open Access | Times Cited: 49
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