Daniel X. Yang

1.2k total citations · 2 hit papers
36 papers, 595 citations indexed

About

Daniel X. Yang is a scholar working on Pulmonary and Respiratory Medicine, Public Health, Environmental and Occupational Health and Oncology. According to data from OpenAlex, Daniel X. Yang has authored 36 papers receiving a total of 595 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pulmonary and Respiratory Medicine, 9 papers in Public Health, Environmental and Occupational Health and 8 papers in Oncology. Recurrent topics in Daniel X. Yang's work include Renal cell carcinoma treatment (4 papers), Cancer Genomics and Diagnostics (4 papers) and Pain Management and Opioid Use (3 papers). Daniel X. Yang is often cited by papers focused on Renal cell carcinoma treatment (4 papers), Cancer Genomics and Diagnostics (4 papers) and Pain Management and Opioid Use (3 papers). Daniel X. Yang collaborates with scholars based in United States, South Korea and China. Daniel X. Yang's co-authors include James B. Yu, Cary P. Gross, Pamela R. Soulos, Henry S. Park, Vikram Jairam, Brigette A. Davis, Eric Horvitz, Zahir Kanjee, Hannah Kerman and Andrew Olson and has published in prestigious journals such as Nature Medicine, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Daniel X. Yang

29 papers receiving 585 citations

Hit Papers

Large Language Model Influence on Diagnostic Reasoning 2024 2026 2025 2024 2025 50 100 150

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel X. Yang United States 11 181 130 114 95 91 36 595
Tina Seto United States 12 170 0.9× 44 0.3× 71 0.6× 96 1.0× 35 0.4× 26 435
Jennifer Braun United States 9 145 0.8× 69 0.5× 167 1.5× 90 0.9× 49 0.5× 19 515
Sarah Mercaldo United States 16 262 1.4× 16 0.1× 179 1.6× 136 1.4× 97 1.1× 52 931
Jamil S. Samaan United States 15 137 0.8× 523 4.0× 69 0.6× 228 2.4× 87 1.0× 48 1.1k
Gabriel Levin Israel 16 74 0.4× 122 0.9× 329 2.9× 48 0.5× 89 1.0× 218 1.2k
Christian A. Nebiker Switzerland 13 287 1.6× 153 1.2× 32 0.3× 65 0.7× 67 0.7× 38 820
Marliese Alexander Australia 18 346 1.9× 26 0.2× 57 0.5× 26 0.3× 33 0.4× 87 867
Christoph Kuemmerli Switzerland 12 188 1.0× 163 1.3× 42 0.4× 78 0.8× 52 0.6× 39 753
Vinit Nalawade United States 14 184 1.0× 8 0.1× 130 1.1× 21 0.2× 27 0.3× 54 533
Noel Ayoub United States 14 18 0.1× 154 1.2× 53 0.5× 57 0.6× 41 0.5× 44 543

Countries citing papers authored by Daniel X. Yang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Daniel X. Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel X. Yang. A scholar is included among the top collaborators of Daniel X. Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel X. Yang. Daniel X. Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Návar, Ann Marie, Daniel X. Yang, Dong Soo Lee, et al.. (2025). ChatGPT augmented clinical trial screening. SHILAP Revista de lepidopterología. 1(1). 15005–15005.
2.
Kerman, Hannah, Joséphine A. Cool, Jason Hom, et al.. (2025). A typology of physician input approaches to using AI chatbots for clinical decision-making. npj Digital Medicine. 9(1). 14–14.
3.
Goh, Ethan, Eric Strong, Yingjie Weng, et al.. (2025). GPT-4 assistance for improvement of physician performance on patient care tasks: a randomized controlled trial. Nature Medicine. 31(4). 1233–1238. 35 indexed citations breakdown →
4.
Hwang, Lindsay, Suzanne Cole, Anishka D'souza, et al.. (2025). Safety of combining radiotherapy and antibody drug conjugates in advanced urothelial and other cancers.. Journal of Clinical Oncology. 43(5_suppl). 758–758. 1 indexed citations
5.
6.
Yang, Daniel X., et al.. (2024). Using Large Language Models to Create Patient Centered Consent Forms. International Journal of Radiation Oncology*Biology*Physics. 120(2). e612–e612. 3 indexed citations
7.
Aliru, Maureen, Song Zhang, Jue Wang, et al.. (2024). Treatment outcomes for patients with Ga68-PSMA-PET prostate cancer (PC) with or without conventional imaging correlates.. Journal of Clinical Oncology. 42(16_suppl). 5078–5078.
8.
Hwang, L H, et al.. (2024). Bi-Institutional Safety Analysis of Combining Radiotherapy and Enfortumab Vedotin in Advanced Urothelial Cancer. International Journal of Radiation Oncology*Biology*Physics. 120(2). S74–S75. 1 indexed citations
9.
Yang, Daniel X., et al.. (2024). Utilizing Large Language Models for Enhanced Clinical Trial Matching: A Study on Automation in Patient Screening. Cureus. 16(5). e60044–e60044. 13 indexed citations
10.
Yang, Daniel X. & Raquibul Hannan. (2024). Harnessing stereotactic precision in the fight against primary kidney cancer: time for a randomised trial?. The Lancet Oncology. 25(3). 267–269.
11.
Saeed, Nadia, Daniel X. Yang, Thomas J. Hayman, et al.. (2023). Dose-Volume Predictors of Radiation Pneumonitis After Thoracic Hypofractionated Radiation Therapy. Practical Radiation Oncology. 14(2). e97–e104. 5 indexed citations
13.
Yang, Daniel X., Jian‐Ge Zhou, Antonio Omuro, et al.. (2023). Comparing Detection Schemes for Adversarial Images against Deep Learning Models for Cancer Imaging. Cancers. 15(5). 1548–1548. 8 indexed citations
14.
Yang, Daniel X., Young Suk Kwon, Robert Timmerman, & Raquibul Hannan. (2023). Stereotactic ablative radiotherapy for primary renal cell carcinoma. Clinical and Translational Radiation Oncology. 44. 100705–100705. 2 indexed citations
15.
Lee, Victor, Fatima N. Mirza, Vikram Jairam, et al.. (2022). Factors Associated With In-Hospital Mortality in Mycosis Fungoides Patients: A Multivariable Analysis. Cureus. 14(8). e28043–e28043. 2 indexed citations
16.
Yang, Daniel X., Vivek Verma, Yi An, et al.. (2020). Radiation Dose to the Rectum With Definitive Radiation Therapy and Hydrogel Spacer Versus Postprostatectomy Radiation Therapy. Advances in Radiation Oncology. 5(6). 1225–1231. 2 indexed citations
17.
Jairam, Vikram, Daniel X. Yang, Saamir Pasha, et al.. (2020). Temporal Trends in Opioid Prescribing Patterns Among Oncologists in the Medicare Population. JNCI Journal of the National Cancer Institute. 113(3). 274–281. 29 indexed citations
18.
Jairam, Vikram, Daniel X. Yang, James B. Yu, & Henry S. Park. (2019). Emergency Department Visits for Opioid Overdoses Among Patients With Cancer. JNCI Journal of the National Cancer Institute. 112(9). 938–943. 29 indexed citations
19.
Yang, Daniel X., et al.. (2016). Digital health application for real-time patient-reported outcomes during prostate radiotherapy.. Journal of Clinical Oncology. 34(2_suppl). 157–157. 2 indexed citations
20.
Dasgupta, Tina, Daphne A. Haas‐Kogan, Xiaodong Yang, et al.. (2013). Genotype-dependent cooperation of ionizing radiation with BRAF inhibition in BRAF V600E-mutated carcinomas. Investigational New Drugs. 31(5). 1136–1141. 13 indexed citations

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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