Daniel X. Yang
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
- Family Practice top 5%
- Clinical Reasoning and Diagnostic Skills
Papers in
-
- Renal cell carcinoma treatment 4
- Prostate Cancer Diagnosis and Treatment 3
- Co-authors
- James B. Yu (13 shared papers)Cary P. Gross (7 shared papers)Pamela R. Soulos (5 shared papers)Henry S. Park (9 shared papers)Vikram Jairam (7 shared papers)Jason Hom (3 shared papers)Adam Rodman (3 shared papers)Eric Strong (2 shared papers)
- Journals
- Journal of Clinical Oncology (8 papers)International Journal of Radiation Oncology*Biology*Physics (4 papers)JAMA Network Open (3 papers)JNCI Journal of the National Cancer Institute (2 papers)Practical Radiation Oncology (1 paper)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Daniel X. Yang
31 papers receiving 708 citations
Daniel X. Yang's Hit Papers
Peers
Comparison fields: 5 of 99
- Health Informatics 142
- Family Practice 33
- Anesthesiology and Pain Medicine 32
- Oncology 130
- Health Information Management 14
Countries citing papers authored by Daniel X. Yang
This map shows the geographic impact of Daniel X. Yang'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 Daniel X. Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel X. Yang more than expected).
Fields of papers citing papers by Daniel X. Yang
This network shows the impact of papers produced by Daniel X. Yang. 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 Daniel X. Yang. The network helps show where Daniel X. Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel X. Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Large Language Model Influence on Diagnostic Reasoning Hit paper breakdown → | 2024 | 239 |
| 2 | 2016 | 78 | |
| 3 | 2021 | 78 | |
| 4 | 2014 | 73 | |
| 5 | GPT-4 assistance for improvement of physician performance on patient care tasks: a randomized controlled trial Hit paper breakdown → | 2025 | 57 |
| 6 | 2020 | 41 | |
| 7 | 2020 | 32 | |
| 8 | 2019 | 30 | |
| 9 | 2013 | 14 | |
| 10 | 2024 | 14 | |
| 11 | 2017 | 10 | |
| 12 | 2023 | 8 | |
| 13 | 2023 | 6 | |
| 14 | 2009 | 5 | |
| 15 | 2020 | 4 | |
| 16 | 2020 | 4 | |
| 17 | 2024 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2023 | 2 |
About Daniel X. Yang
Daniel X. Yang is a scholar working on Pulmonary and Respiratory Medicine, Public Health, Environmental and Occupational Health, Molecular Biology, Oncology and Cancer Research, having authored 37 papers that have together received 718 indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (4 papers), Cancer Genomics and Diagnostics (4 papers), Prostate Cancer Diagnosis and Treatment (3 papers), Bladder and Urothelial Cancer Treatments (3 papers), Artificial Intelligence in Healthcare and Education (3 papers), Advanced Radiotherapy Techniques (2 papers), Machine Learning in Healthcare (2 papers) and Cervical Cancer and HPV Research (2 papers). The work is most often cited by research in Health Informatics (142 citations), Family Practice (33 citations), Anesthesiology and Pain Medicine (32 citations), Oncology (130 citations) and Health Information Management (14 citations). Daniel X. Yang has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include James B. Yu, Cary P. Gross, Pamela R. Soulos, Henry S. Park, Vikram Jairam, Jason Hom, Adam Rodman, Eric Strong, Andrew Olson and Eric Horvitz. Their work appears in journals such as Journal of Clinical Oncology, International Journal of Radiation Oncology*Biology*Physics, JAMA Network Open, JNCI Journal of the National Cancer Institute and Practical Radiation Oncology.
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.