Steven Tam
Impact in
-
- Artificial Intelligence in Healthcare and Education
-
- Antibiotic Use and Resistance
Papers in
-
- Artificial Intelligence in Healthcare and Education 2
-
- Dementia and Cognitive Impairment Research 2
- Co-authors
- Lawrence A. Hansen (1 shared paper)Joanne M. Hamilton (1 shared paper)Steven D. Edland (1 shared paper)Douglas Galasko (1 shared paper)Guerry M. Peavy (1 shared paper)David P. Salmon (1 shared paper)Eliezer Masliah (1 shared paper)Jiayuan Wang (2 shared papers)
- Journals
- Alzheimer s & Dementia (2 papers)Infection Control and Hospital Epidemiology (2 papers)Journal of the American Medical Informatics Association (1 paper)American Journal of Geriatric Psychiatry (1 paper)British Journal of Biomedical Science (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Steven Tam
10 papers receiving 84 citations
Peers
Comparison fields: 5 of 30
- Health Informatics 6
- Applied Microbiology and Biotechnology 8
- Molecular Medicine 8
- Psychiatry and Mental health 17
- Clinical Biochemistry 6
Countries citing papers authored by Steven Tam
This map shows the geographic impact of Steven Tam'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 Steven Tam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven Tam more than expected).
Fields of papers citing papers by Steven Tam
This network shows the impact of papers produced by Steven Tam. 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 Steven Tam. The network helps show where Steven Tam may publish in the future.
Co-authors
The 25 scholars most cited alongside Steven Tam, 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 | 2016 | 32 | |
| 2 | 2013 | 20 | |
| 3 | 2021 | 12 | |
| 4 | 2025 | 8 | |
| 5 | 2025 | 6 | |
| 6 | 2026 | 2 | |
| 7 | 2026 | 2 | |
| 8 | 2024 | 1 | |
| 9 | 2025 | 1 | |
| 10 | Neurologic problems in the elderly. | 1989 | 1 |
| 11 | 2004 | 0 |
About Steven Tam
Steven Tam is a scholar working on Health Informatics, Psychiatry and Mental health, Infectious Diseases, Neurology and Cardiology and Cardiovascular Medicine, having authored 11 papers that have together received 85 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (2 papers), Artificial Intelligence in Healthcare and Education (2 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (1 paper), Telemedicine and Telehealth Implementation (1 paper), Radiology practices and education (1 paper), Peripheral Neuropathies and Disorders (1 paper), Infection Control in Healthcare (1 paper) and Central Venous Catheters and Hemodialysis (1 paper). The work is most often cited by research in Health Informatics (6 citations), Applied Microbiology and Biotechnology (8 citations), Molecular Medicine (8 citations), Psychiatry and Mental health (17 citations) and Clinical Biochemistry (6 citations). Steven Tam has collaborated with scholars based in United States and China. Frequent co-authors include Lawrence A. Hansen, Joanne M. Hamilton, Steven D. Edland, Douglas Galasko, Guerry M. Peavy, David P. Salmon, Eliezer Masliah, Jiayuan Wang, Ken Kleinman and Kai Zheng. Their work appears in journals such as Alzheimer s & Dementia, Infection Control and Hospital Epidemiology, Journal of the American Medical Informatics Association, American Journal of Geriatric Psychiatry and British Journal of Biomedical Science.
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.