H. Myra Kim

1.5k total citations
22 papers, 1.0k citations indexed

About

H. Myra Kim is a scholar working on Clinical Psychology, Public Health, Environmental and Occupational Health and Psychiatry and Mental health. According to data from OpenAlex, H. Myra Kim has authored 22 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Clinical Psychology, 6 papers in Public Health, Environmental and Occupational Health and 6 papers in Psychiatry and Mental health. Recurrent topics in H. Myra Kim's work include Dementia and Cognitive Impairment Research (5 papers), Suicide and Self-Harm Studies (5 papers) and Pharmaceutical Practices and Patient Outcomes (5 papers). H. Myra Kim is often cited by papers focused on Dementia and Cognitive Impairment Research (5 papers), Suicide and Self-Harm Studies (5 papers) and Pharmaceutical Practices and Patient Outcomes (5 papers). H. Myra Kim collaborates with scholars based in United States, Taiwan and Australia. H. Myra Kim's co-authors include Helen C. Kales, John F. McCarthy, Kara Zivin, Frederic C. Blow, Marcia Valenstein, Dara Ganoczy, Marcia Valenstein, Claire Chiang, Donovan T. Maust and Heather Walters and has published in prestigious journals such as JAMA, American Journal of Psychiatry and American Journal of Public Health.

In The Last Decade

H. Myra Kim

21 papers receiving 1.0k citations

Peers

H. Myra Kim
Yasuyuki Okumura Japan
Lisa S. Seyfried United States
Moira Sim Australia
Paul D. Kirwin United States
Shahrzad Mavandadi United States
Carol Podgorski United States
Juleen Rodakowski United States
Daniel Harwood United Kingdom
Christopher M. Perlman Canada
Norman L. Keltner United States
Yasuyuki Okumura Japan
H. Myra Kim
Citations per year, relative to H. Myra Kim H. Myra Kim (= 1×) peers Yasuyuki Okumura

Countries citing papers authored by H. Myra Kim

Since Specialization
Citations

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

Fields of papers citing papers by H. Myra Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. Myra Kim. 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 H. Myra Kim. The network helps show where H. Myra Kim may publish in the future.

Co-authorship network of co-authors of H. Myra Kim

This figure shows the co-authorship network connecting the top 25 collaborators of H. Myra Kim. A scholar is included among the top collaborators of H. Myra Kim 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 H. Myra Kim. H. Myra Kim 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.
Coughlin, Lara N., Lan Zhang, H. Myra Kim, et al.. (2025). Contingency Management for Stimulant Use Disorder and Association With Mortality: A Cohort Study. American Journal of Psychiatry. 182(11). 1016–1023.
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Piette, John D., Sarah L. Krein, Nicolle Marinec, et al.. (2022). Patient-Centered Pain Care Using Artificial Intelligence and Mobile Health Tools. JAMA Internal Medicine. 182(9). 975–975. 61 indexed citations
4.
Frost, Madeline C., Lan Zhang, H. Myra Kim, & Lewei Lin. (2022). Use of and Retention on Video, Telephone, and In-Person Buprenorphine Treatment for Opioid Use Disorder During the COVID-19 Pandemic. JAMA Network Open. 5(10). e2236298–e2236298. 45 indexed citations
5.
Gerlach, Lauren B., Donovan T. Maust, Helen C. Kales, et al.. (2022). Evaluation of Antipsychotic Reduction Efforts in Patients With Dementia in Veterans Health Administration Nursing Homes. American Journal of Psychiatry. 179(8). 544–552. 12 indexed citations
6.
Maust, Donovan T., Julie Strominger, H. Myra Kim, et al.. (2021). Prevalence of Central Nervous System–Active Polypharmacy Among Older Adults With Dementia in the US. JAMA. 325(10). 952–952. 61 indexed citations
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Lin, Lewei, Amy S. B. Bohnert, Frederic C. Blow, et al.. (2020). Polysubstance use and association with opioid use disorder treatment in the US Veterans Health Administration. Addiction. 116(1). 96–104. 73 indexed citations
9.
Maust, Donovan T., H. Myra Kim, Ilse R. Wiechers, et al.. (2020). Benzodiazepine Use among Medicare, Commercially Insured , and Veteran Older Adults, 2013–2017. Journal of the American Geriatrics Society. 69(1). 98–105. 13 indexed citations
10.
Abraham, Kristen M., Heather Walters, H. Myra Kim, et al.. (2019). Peer mentorship to reduce suicide attempts among high-risk adults (PREVAIL): Rationale and design of a randomized controlled effectiveness-implementation trial. Contemporary Clinical Trials. 87. 105850–105850. 8 indexed citations
11.
Kales, Helen C., Laura N. Gitlin, Barbara Stanislawski, et al.. (2018). Effect of the WeCareAdvisor™ on family caregiver outcomes in dementia: a pilot randomized controlled trial. BMC Geriatrics. 18(1). 113–113. 46 indexed citations
12.
Kales, Helen C., Janet Kavanagh, Claire Chiang, et al.. (2016). Predictors of Antidepressant Nonadherence Among Older Veterans With Depression. Psychiatric Services. 67(7). 728–734. 21 indexed citations
13.
Zivin, Kara, H. Myra Kim, Matheos Yosef, et al.. (2016). Antidepressant Medication Treatment and Risk of Death. Journal of Clinical Psychopharmacology. 36(5). 445–452. 8 indexed citations
14.
Zivin, Kara, Matheos Yosef, Erin M. Miller, et al.. (2015). Associations between depression and all-cause and cause-specific risk of death: A retrospective cohort study in the Veterans Health Administration. Journal of Psychosomatic Research. 78(4). 324–331. 61 indexed citations
15.
Valenstein, Marcia, Lisa Gorman, Adrian J. Blow, et al.. (2014). Reported Barriers to Mental Health Care in Three Samples of U.S. Army National Guard Soldiers at Three Time Points. Journal of Traumatic Stress. 27(4). 406–414. 38 indexed citations
16.
Pfeiffer, P., Elizabeth Garcia, Sonia A. Duffy, et al.. (2013). Predictors of suicidal ideation among depressed veterans and the interpersonal theory of suicide. Journal of Affective Disorders. 152-154. 277–281. 43 indexed citations
17.
Burnett‐Zeigler, Inger, H. Myra Kim, Claire Chiang, et al.. (2013). The association between race and gender, treatment attitudes, and antidepressant treatment adherence. International Journal of Geriatric Psychiatry. 29(2). 169–177. 23 indexed citations
18.
Ilgen, Mark A., Kara Zivin, Katherine J. Hoggatt, et al.. (2009). Exploratory Data Mining Analysis Identifying Subgroups of Patients With Depression Who Are at High Risk for Suicide. The Journal of Clinical Psychiatry. 70(11). 1495–1500. 28 indexed citations
19.
Kales, Helen C., Marcia Valenstein, H. Myra Kim, et al.. (2007). Mortality Risk in Patients With Dementia Treated With Antipsychotics Versus Other Psychiatric Medications. American Journal of Psychiatry. 164(10). 1568–1576. 180 indexed citations
20.
Zivin, Kara, H. Myra Kim, John F. McCarthy, et al.. (2007). Suicide Mortality Among Individuals Receiving Treatment for Depression in the Veterans Affairs Health System: Associations with Patient and Treatment Setting Characteristics. American Journal of Public Health. 97(12). 2193–2198. 190 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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