Tu Dan
Impact in
- Otorhinolaryngology top 5%
- Head and Neck Cancer Studies
- Genetics top 10%
- Glioma Diagnosis and Treatment
Papers in
-
- Brain Metastases and Treatment 15
- Lung Cancer Treatments and Mutations 4
- Genetics 14
- Glioma Diagnosis and Treatment 14
- Co-authors
- Nicole L. Simone (15 shared papers)Kevin Camphausen (6 shared papers)David Ly (4 shared papers)Brittany A. Simone (9 shared papers)Meng K. Lim (4 shared papers)Lianjin Jin (4 shared papers)Robert W. Miller (1 shared paper)John Ondos (1 shared paper)
- Journals
- International Journal of Radiation Oncology*Biology*Physics (15 papers)Journal of Neuro-Oncology (3 papers)Cell Cycle (3 papers)Cancers (3 papers)Practical Radiation Oncology (2 papers)
- Partner nations
- United StatesAustraliaChina
In The Last Decade
Tu Dan
44 papers receiving 820 citations
Peers
Comparison fields: 5 of 68
- Otorhinolaryngology 55
- Genetics 138
- Cancer Research 160
- Pulmonary and Respiratory Medicine 278
- Radiation 66
Countries citing papers authored by Tu Dan
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
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-authors
The 25 scholars most cited alongside Tu Dan, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 126 | |
| 2 | 2013 | 86 | |
| 3 | 2011 | 61 | |
| 4 | 2016 | 48 | |
| 5 | 2020 | 46 | |
| 6 | 2021 | 45 | |
| 7 | 2018 | 40 | |
| 8 | 2021 | 33 | |
| 9 | 2018 | 32 | |
| 10 | 2015 | 26 | |
| 11 | 2015 | 25 | |
| 12 | 2015 | 25 | |
| 13 | 2014 | 21 | |
| 14 | 2018 | 21 | |
| 15 | 2013 | 18 | |
| 16 | 2021 | 17 | |
| 17 | 2020 | 16 | |
| 18 | 2022 | 13 | |
| 19 | 2023 | 13 | |
| 20 | 2017 | 12 |
About Tu Dan
Tu Dan is a scholar working on Pulmonary and Respiratory Medicine, Genetics, Radiology, Nuclear Medicine and Imaging, Cancer Research and Oncology, having authored 59 papers that have together received 835 indexed citations. Recurring topics across this work include Brain Metastases and Treatment (15 papers), Glioma Diagnosis and Treatment (14 papers), Advanced Radiotherapy Techniques (7 papers), Meningioma and schwannoma management (7 papers), Medical Imaging Techniques and Applications (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Lung Cancer Treatments and Mutations (4 papers) and Brain Tumor Detection and Classification (3 papers). The work is most often cited by research in Otorhinolaryngology (55 citations), Genetics (138 citations), Cancer Research (160 citations), Pulmonary and Respiratory Medicine (278 citations) and Radiation (66 citations). Tu Dan has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Nicole L. Simone, Kevin Camphausen, David Ly, Brittany A. Simone, Meng K. Lim, Lianjin Jin, Robert W. Miller, John Ondos, Zabi Wardak and Arnaud Belard. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Journal of Neuro-Oncology, Cell Cycle, Cancers 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.