Eric M. Cramer
Impact in
- Occupational Therapy top 5%
- Pressure Ulcer Prevention and Management
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- Artificial Intelligence in Healthcare and Education
Papers in
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- Musculoskeletal pain and rehabilitation 4
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- Pressure Ulcer Prevention and Management 1
- Co-authors
- Sean Mackey (7 shared papers)Maisa S. Ziadni (5 shared papers)Martin G. Seneviratne (1 shared paper)Tina Hernandez‐Boussard (1 shared paper)Husham Sharifi (1 shared paper)Ming‐Chih Jeffrey Kao (4 shared papers)Ian Richard Carroll (2 shared papers)Catherine Mills Curtin (2 shared papers)
- Journals
- PLoS Computational Biology (2 papers)JAMA Network Open (1 paper)Science Advances (1 paper)Journal of Pain (1 paper)Journal of General Internal Medicine (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Eric M. Cramer
12 papers receiving 317 citations
Peers
Comparison fields: 5 of 58
- Occupational Therapy 49
- Health Informatics 16
- Anesthesiology and Pain Medicine 41
- Pharmacology 46
- Issues, ethics and legal aspects 4
Countries citing papers authored by Eric M. Cramer
This map shows the geographic impact of Eric M. Cramer'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 Eric M. Cramer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric M. Cramer more than expected).
Fields of papers citing papers by Eric M. Cramer
This network shows the impact of papers produced by Eric M. Cramer. 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 Eric M. Cramer. The network helps show where Eric M. Cramer may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric M. Cramer, 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 | 2019 | 86 | |
| 2 | 2019 | 64 | |
| 3 | 2021 | 57 | |
| 4 | 2025 | 31 | |
| 5 | 2021 | 27 | |
| 6 | 2022 | 17 | |
| 7 | 2022 | 11 | |
| 8 | 2021 | 10 | |
| 9 | 2021 | 10 | |
| 10 | 2018 | 4 | |
| 11 | 2025 | 3 | |
| 12 | 2025 | 1 |
About Eric M. Cramer
Eric M. Cramer is a scholar working on Pharmacology, Occupational Therapy, Anesthesiology and Pain Medicine, Molecular Biology and Surgery, having authored 12 papers that have together received 321 indexed citations. Recurring topics across this work include Musculoskeletal pain and rehabilitation (4 papers), Anesthesia and Pain Management (2 papers), Single-cell and spatial transcriptomics (2 papers), Pressure Ulcer Prevention and Management (1 paper), Data Visualization and Analytics (1 paper), Gene Regulatory Network Analysis (1 paper), Data Analysis with R (1 paper) and Orthopedic Surgery and Rehabilitation (1 paper). The work is most often cited by research in Occupational Therapy (49 citations), Health Informatics (16 citations), Anesthesiology and Pain Medicine (41 citations), Pharmacology (46 citations) and Issues, ethics and legal aspects (4 citations). Eric M. Cramer has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Sean Mackey, Maisa S. Ziadni, Martin G. Seneviratne, Tina Hernandez‐Boussard, Husham Sharifi, Ming‐Chih Jeffrey Kao, Ian Richard Carroll, Catherine Mills Curtin, Beth D. Darnall and Jennifer M. Hah. Their work appears in journals such as PLoS Computational Biology, JAMA Network Open, Science Advances, Journal of Pain and Journal of General Internal Medicine.
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.