Tu Dan

1.2k total citations
52 papers, 749 citations indexed

About

Tu Dan is a scholar working on Pulmonary and Respiratory Medicine, Genetics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Tu Dan has authored 52 papers receiving a total of 749 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Pulmonary and Respiratory Medicine, 20 papers in Genetics and 17 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Tu Dan's work include Glioma Diagnosis and Treatment (20 papers), Brain Metastases and Treatment (15 papers) and Meningioma and schwannoma management (10 papers). Tu Dan is often cited by papers focused on Glioma Diagnosis and Treatment (20 papers), Brain Metastases and Treatment (15 papers) and Meningioma and schwannoma management (10 papers). Tu Dan collaborates with scholars based in United States, Australia and China. Tu Dan's co-authors include Nicole L. Simone, David Ly, Kevin Camphausen, Brittany A. Simone, Meng K. Lim, Lianjin Jin, Zabi Wardak, John Ondos, Holly Ning and Robert W. Miller and has published in prestigious journals such as Molecular Cell, PLoS ONE and Cancer Research.

In The Last Decade

Tu Dan

41 papers receiving 742 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tu Dan United States 15 309 191 190 182 160 52 749
Tomáš Kazda Czechia 16 388 1.3× 222 1.2× 189 1.0× 434 2.4× 166 1.0× 101 1000
Jay P. Reddy United States 18 322 1.0× 356 1.9× 239 1.3× 44 0.2× 215 1.3× 94 1.1k
Gordon A. Watson United States 17 357 1.2× 264 1.4× 73 0.4× 274 1.5× 190 1.2× 61 944
Pavel Šlampa Czechia 15 340 1.1× 184 1.0× 197 1.0× 403 2.2× 200 1.3× 92 916
Angela Mohr Germany 15 270 0.9× 90 0.5× 64 0.3× 228 1.3× 115 0.7× 25 559
Jakob Liermann Germany 15 225 0.7× 455 2.4× 225 1.2× 52 0.3× 80 0.5× 55 789
M. Soike United States 14 258 0.8× 133 0.7× 94 0.5× 115 0.6× 84 0.5× 52 469
Naohito Yamamoto Japan 16 114 0.4× 405 2.1× 272 1.4× 49 0.3× 123 0.8× 75 892
Arif N. Ali United States 14 221 0.7× 154 0.8× 125 0.7× 219 1.2× 134 0.8× 27 664
Wei‐Han Hu China 16 252 0.8× 280 1.5× 90 0.5× 62 0.3× 104 0.7× 44 762

Countries citing papers authored by Tu Dan

Since Specialization
Citations

This map shows the geographic impact of Tu Dan'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 Tu Dan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tu Dan more than expected).

Fields of papers citing papers by Tu Dan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tu Dan. 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 Tu Dan. The network helps show where Tu Dan may publish in the future.

Co-authorship network of co-authors of Tu Dan

This figure shows the co-authorship network connecting the top 25 collaborators of Tu Dan. A scholar is included among the top collaborators of Tu Dan 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 Tu Dan. Tu Dan 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.
Shen, Chenyang, T. Banks, Hao Peng, et al.. (2025). Expanding SCINTIX Biology-Guided Radiotherapy Beyond Lung and Bone: A Planning Feasibility and Dosimetric Study on the RefleXion X1 System. Technology in Cancer Research & Treatment. 24. 2244107222–2244107222.
2.
Prabhu, Roshan S., Jennifer K. Matsui, Tu Dan, et al.. (2025). Standard Dose Versus Reduced Dose Single Fraction Preoperative Radiosurgery for Resected Brain Metastases (PROPS-BM) International Multicenter Cohort Study. Advances in Radiation Oncology. 10(7). 101794–101794.
3.
Dan, Tu, et al.. (2024). Standard Dose vs. Reduced Dose Single Fraction Preoperative Radiosurgery for Resected Brain Metastases: A PROPS-BM International Multicenter Cohort Study. International Journal of Radiation Oncology*Biology*Physics. 120(2). e266–e267.
4.
Wang, Jen‐Yeu, Weiguo Lu, Hao Jiang, et al.. (2024). Where Does Auto-Segmentation for Brain Metastases Radiosurgery Stand Today?. Bioengineering. 11(5). 454–454. 3 indexed citations
5.
Vitzthum, Lucas K., Daniel T. Chang, Michael F. Gensheimer, et al.. (2023). Analysis of the Measured FDG Uptake from the First-in-Human Clinical Trial of Biology-Guided Radiotherapy. International Journal of Radiation Oncology*Biology*Physics. 117(2). e61–e62.
6.
Prabhu, Roshan S., Jennifer K. Matsui, Tu Dan, et al.. (2023). Single-Fraction Versus Fractionated Preoperative Radiosurgery for Resected Brain Metastases: A PROPS-BM International Multicenter Cohort Study. International Journal of Radiation Oncology*Biology*Physics. 118(3). 650–661. 10 indexed citations
7.
Yang, Zi, Lin Ma, Strahinja Stojadinović, et al.. (2022). Ensemble learning for glioma patients overall survival prediction using pre-operative MRIs. Physics in Medicine and Biology. 67(24). 245002–245002. 2 indexed citations
8.
Dan, Tu, et al.. (2022). Lung Adenocarcinoma Associated With GermlineEGFRR776H Variant: A Case Report and Review of the Literature. JCO Precision Oncology. 6(6). e2100559–e2100559. 6 indexed citations
9.
Hsu, Eric J., Robert Timmerman, Zabi Wardak, et al.. (2022). Socioeconomic and demographic determinants of radiation treatment and outcomes in glioblastoma patients. Frontiers in Neurology. 13. 1024138–1024138. 2 indexed citations
10.
Hsu, Eric J., Elizabeth A. Maher, Michael Youssef, et al.. (2022). Neutrophilia and post-radiation thrombocytopenia predict for poor prognosis in radiation-treated glioma patients. Frontiers in Oncology. 12. 1000280–1000280. 10 indexed citations
11.
Yang, Zi, Lin Ma, Strahinja Stojadinović, et al.. (2021). Deep-learning and radiomics ensemble classifier for false positive reduction in brain metastases segmentation. Physics in Medicine and Biology. 67(2). 25004–25004. 16 indexed citations
12.
Prabhu, Roshan S., Reshika Dhakal, Tu Dan, et al.. (2021). Preoperative Radiosurgery for Resected Brain Metastases: The PROPS-BM Multicenter Cohort Study. International Journal of Radiation Oncology*Biology*Physics. 111(3). 764–772. 43 indexed citations
13.
Plitt, Aaron, Ankur Patel, Strahinja Stojadinović, et al.. (2021). Expanded Radiosurgery Capabilities Utilizing Gamma Knife Icon™. Cureus. 13(3). e13998–e13998. 7 indexed citations
14.
Mohamad, Osama, Zabi Wardak, Daniel C. Bowers, et al.. (2020). Margin-Free Fractionated Stereotactic Radiation Therapy for Pediatric Brain Tumors. Practical Radiation Oncology. 10(6). e485–e494. 6 indexed citations
15.
Lin, Mu‐Han, Ming Yang, Osama Mohamad, et al.. (2019). Radiation Therapy for Pediatric Brain Tumors using Robotic Radiation Delivery System and Intensity Modulated Proton Therapy. Practical Radiation Oncology. 10(3). e173–e182. 6 indexed citations
16.
Palmer, Joshua D., Deepak Bhamidipati, Andrew Song, et al.. (2018). Bevacizumab and re-irradiation for recurrent high grade gliomas: does sequence matter?. Journal of Neuro-Oncology. 140(3). 623–628. 31 indexed citations
17.
Kim, Hyun, et al.. (2017). The Influence of Health Insurance Policy on Radiation Oncology Physician SBRT/SABR Use Practices: A North American Survey. International Journal of Radiation Oncology*Biology*Physics. 99(3). 524–529. 3 indexed citations
18.
Housri, Nadine, et al.. (2016). Sharing Experiential Knowledge and Clinical Evidence in an Online Radiation Oncology Social Network. International Journal of Radiation Oncology*Biology*Physics. 96(2). E417–E417.
19.
Dan, Tu, et al.. (2016). Dosing, administration, and safety of radium-223: How I do it.. PubMed. 23(3). 8301–5. 2 indexed citations
20.

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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