Liza Hoffman
Impact in
- Applied Psychology top 5%
- Digital Mental Health Interventions
Papers in
-
- Digital Mental Health Interventions 4
-
- Mobile Health and mHealth Applications 2
- Mental Health and Patient Involvement 1
- Co-authors
- John Torous (3 shared papers)Hannah Wisniewski (2 shared papers)Philip Henson (2 shared papers)Aditya Vaidyam (1 shared paper)Matcheri S. Keshavan (1 shared paper)Ryan Hays (1 shared paper)Ellie Grossman (1 shared paper)Hsiang Huang (1 shared paper)
- Journals
- Journal of Medical Internet Research (1 paper)Frontiers in Psychiatry (1 paper)BMJ Innovations (1 paper)Journal of Psychiatric Practice (1 paper)Deep Blue (University of Michigan) (1 paper)
- Partner nations
- United States
In The Last Decade
Liza Hoffman
5 papers receiving 142 citations
Peers
Comparison fields: 5 of 31
- Applied Psychology 74
- Health Informatics 5
- General Health Professions 45
- Public Health, Environmental and Occupational Health 35
- Clinical Psychology 14
Countries citing papers authored by Liza Hoffman
This map shows the geographic impact of Liza Hoffman'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 Liza Hoffman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liza Hoffman more than expected).
Fields of papers citing papers by Liza Hoffman
This network shows the impact of papers produced by Liza Hoffman. 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 Liza Hoffman. The network helps show where Liza Hoffman may publish in the future.
Co-authors
The 14 scholars most cited alongside Liza Hoffman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 73 | |
| 2 | 2019 | 51 | |
| 3 | 2020 | 15 | |
| 4 | 2022 | 6 | |
| 5 | Guidance for Treating Patients with Opioid Use Disorder (OUD) with Buprenorphine- Naloxone (B/N) in the COVID-19 Era via Telehealth: A Review of Previous Evidence, New COVID-19 OUD Treatment Guidelines, and a Case Report of their Application | 2020 | 2 |
About Liza Hoffman
Liza Hoffman is a scholar working on Applied Psychology, General Health Professions, Public Health, Environmental and Occupational Health, Clinical Psychology and Sociology and Political Science, having authored 5 papers that have together received 147 indexed citations. Recurring topics across this work include Digital Mental Health Interventions (4 papers), Opioid Use Disorder Treatment (2 papers), Mobile Health and mHealth Applications (2 papers), Telemedicine and Telehealth Implementation (1 paper), Mental Health Research Topics (1 paper), Mental Health and Patient Involvement (1 paper), COVID-19 and Mental Health (1 paper) and Impact of Technology on Adolescents (1 paper). The work is most often cited by research in Applied Psychology (74 citations), Health Informatics (5 citations), General Health Professions (45 citations), Public Health, Environmental and Occupational Health (35 citations) and Clinical Psychology (14 citations). Liza Hoffman has collaborated with scholars based in United States. Frequent co-authors include John Torous, Hannah Wisniewski, Philip Henson, Aditya Vaidyam, Matcheri S. Keshavan, Ryan Hays, Ellie Grossman, Hsiang Huang, Elena Rodriguez-Villa and Natali Rauseo-Ricupero. Their work appears in journals such as Journal of Medical Internet Research, Frontiers in Psychiatry, BMJ Innovations, Journal of Psychiatric Practice and Deep Blue (University of Michigan).
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.