Daniel Xiao Yang

1.6k citations
32 papers · 868 · 2 hit papers · h-index 10

Impact in

Papers in

Daniel Xiao Yang

26 papers receiving 851 citations

Daniel Xiao Yang's Hit Papers

GPT-4 assistance for improvement of physician performance on patient care tasks: a randomized controlled trial 2025 · 82 citations
820+1Years since publication100200300

Peers

Daniel Xiao Yang
Comparison fields: 5 of 101
  • Health Informatics 184
  • Family Practice 41
  • Anesthesiology and Pain Medicine 38
  • Oncology 129
  • Health Information Management 19
Replace Jamil S. Samaan with:
Jamil S. Samaan United States
Brendan S. Kelly Ireland
Avery L. Smith United States
Shalini Moningi United States
Max E. R. Marsden United Kingdom
Jacqui Gath United Kingdom
Christopher R. Manz United States
Christoph Kuemmerli Switzerland
Benjamin Hull Chin-Yee Canada
Mark Henderson Arnold Australia
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Xiao Yang

Since Specialization
Citations

This map shows the geographic impact of Daniel Xiao 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 Xiao 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 Xiao Yang more than expected).

Fields of papers citing papers by Daniel Xiao Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Xiao 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 Xiao Yang. The network helps show where Daniel Xiao Yang may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel Xiao Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Xiao Yang Line = papers co-authored together Daniel Xiao Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Large Language Model Influence on Diagnostic Reasoning
Hit paper breakdown →
2024330
2 202188
3 201683
4
GPT-4 assistance for improvement of physician performance on patient care tasks: a randomized controlled trial
Hit paper breakdown →
202582
5 201477
6 202049
7 202035
8 201934
9 202418
10 201317
11 201710
12 20238
13 20136
14 20236
15 20205
16 20233
17 20243
18
Helping science and drug development to succeed through pharma-academia partnerships: Yale Healthcare Conference 2013.
20132
19 20202
20 20222

About Daniel Xiao Yang

Daniel Xiao Yang is a scholar working on Health Informatics, Pulmonary and Respiratory Medicine, Public Health, Environmental and Occupational Health, Radiation and Family Practice, having authored 32 papers that have together received 868 indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (3 papers), Artificial Intelligence in Healthcare and Education (3 papers), Renal cell carcinoma treatment (3 papers), Advanced Radiotherapy Techniques (3 papers), Bladder and Urothelial Cancer Treatments (3 papers), Prostate Cancer Treatment and Research (3 papers), Clinical Reasoning and Diagnostic Skills (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Health Informatics (184 citations), Family Practice (41 citations), Anesthesiology and Pain Medicine (38 citations), Oncology (129 citations) and Health Information Management (19 citations). Daniel Xiao Yang has collaborated with scholars based in United States and South Korea. Frequent co-authors include James B. Yu, Cary Philip Gross, Pamela R. Soulos, Henry Soo-Min Park, Vikram Jairam, Hannah M. Kerman, Eric Strong, Ethan Goh, Andrew P. J. Olson and Eric Horvitz. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, JAMA Network Open, JNCI Journal of the National Cancer Institute, Advances in Radiation Oncology 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.

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