Ethan Goh
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
- Family Practice top 5%
- Clinical Reasoning and Diagnostic Skills
Papers in
- Oncology 4
- Viral-associated cancers and disorders 2
- PARP inhibition in cancer therapy 1
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- Head and Neck Cancer Studies 2
- Co-authors
- Jonathan H. Chen (4 shared papers)Arnold Milstein (3 shared papers)Eric Strong (2 shared papers)Andrew S. Parsons (2 shared papers)Andrew Olson (2 shared papers)Hannah Kerman (4 shared papers)Adam Rodman (3 shared papers)Eric Horvitz (2 shared papers)
- Journals
- International Journal of Cancer (3 papers)Nature Medicine (1 paper)npj Digital Medicine (1 paper)Journal of Clinical Oncology (1 paper)Folia Primatologica (1 paper)
- Partner nations
- United StatesSingaporeFrance
In The Last Decade
Ethan Goh
11 papers receiving 411 citations
Ethan Goh's Hit Papers
Peers
Comparison fields: 5 of 82
- Health Informatics 131
- Family Practice 31
- Otorhinolaryngology 21
- Health Information Management 13
- Oncology 72
Countries citing papers authored by Ethan Goh
This map shows the geographic impact of Ethan Goh'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 Ethan Goh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ethan Goh more than expected).
Fields of papers citing papers by Ethan Goh
This network shows the impact of papers produced by Ethan Goh. 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 Ethan Goh. The network helps show where Ethan Goh may publish in the future.
Co-authors
The 25 scholars most cited alongside Ethan Goh, 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 | Large Language Model Influence on Diagnostic Reasoning Hit paper breakdown → | 2024 | 234 |
| 2 | 1976 | 61 | |
| 3 | GPT-4 assistance for improvement of physician performance on patient care tasks: a randomized controlled trial Hit paper breakdown → | 2025 | 57 |
| 4 | 1976 | 25 | |
| 5 | 1979 | 21 | |
| 6 | 2021 | 12 | |
| 7 | 2025 | 10 | |
| 8 | 2013 | 6 | |
| 9 | 2023 | 3 | |
| 10 | 2025 | 1 | |
| 11 | 1974 | 1 | |
| 12 | 2026 | 0 |
About Ethan Goh
Ethan Goh is a scholar working on Oncology, Otorhinolaryngology, Family Practice, Health Informatics and Immunology, having authored 12 papers that have together received 431 indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (2 papers), Clinical Reasoning and Diagnostic Skills (2 papers), Artificial Intelligence in Healthcare and Education (2 papers), Viral-associated cancers and disorders (2 papers), PARP inhibition in cancer therapy (1 paper), DNA Repair Mechanisms (1 paper), Cardiac, Anesthesia and Surgical Outcomes (1 paper) and Toxin Mechanisms and Immunotoxins (1 paper). The work is most often cited by research in Health Informatics (131 citations), Family Practice (31 citations), Otorhinolaryngology (21 citations), Health Information Management (13 citations) and Oncology (72 citations). Ethan Goh has collaborated with scholars based in United States, Singapore and France. Frequent co-authors include Jonathan H. Chen, Arnold Milstein, Eric Strong, Andrew S. Parsons, Andrew Olson, Hannah Kerman, Adam Rodman, Eric Horvitz, Joséphine A. Cool and Neera Ahuja. Their work appears in journals such as International Journal of Cancer, Nature Medicine, npj Digital Medicine, Journal of Clinical Oncology and Folia Primatologica.
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.