Daniel T. Chang
Impact in
Papers in
- Co-authors
- Albert C. Koong (120 shared papers)John R. Adler (18 shared papers)Erqi L. Pollom (65 shared papers)John R. Adler (16 shared papers)Iris C. Gibbs (24 shared papers)George A. Fisher (30 shared papers)Martin J. Murphy (5 shared papers)Griffith R. Harsh (14 shared papers)
- Journals
- International Journal of Radiation Oncology*Biology*Physics (103 papers)Practical Radiation Oncology (17 papers)Neurosurgery (14 papers)Journal of Clinical Oncology (13 papers)Advances in Radiation Oncology (10 papers)
- Partner nations
- United StatesCanadaTaiwan
In The Last Decade
Daniel T. Chang
339 papers receiving 11.7k citations
Daniel T. Chang's Hit Papers
Peers
Comparison fields: 5 of 163
- Radiation 2.2k
- Genetics 1.8k
- Oncology 4.5k
- Pulmonary and Respiratory Medicine 4.5k
- Radiology, Nuclear Medicine and Imaging 2.4k
Countries citing papers authored by Daniel T. Chang
This map shows the geographic impact of Daniel T. Chang'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 T. Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel T. Chang more than expected).
Fields of papers citing papers by Daniel T. Chang
This network shows the impact of papers produced by Daniel T. Chang. 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 T. Chang. The network helps show where Daniel T. Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel T. Chang, 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 361 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Brain metastases Hit paper breakdown → | 2019 | 668 |
| 2 | Single-Cell RNA-Seq Analysis of Infiltrating Neoplastic Cells at the Migrating Front of Human Glioblastoma Hit paper breakdown → | 2017 | 603 |
| 3 | 2014 | 342 | |
| 4 | 1999 | 296 | |
| 5 | 2009 | 291 | |
| 6 | 2012 | 248 | |
| 7 | 2001 | 246 | |
| 8 | 2007 | 235 | |
| 9 | 2011 | 212 | |
| 10 | 2012 | 197 | |
| 11 | 2001 | 197 | |
| 12 | 2015 | 194 | |
| 13 | 2011 | 185 | |
| 14 | 2012 | 152 | |
| 15 | 2012 | 151 | |
| 16 | 2008 | 145 | |
| 17 | 2021 | 130 | |
| 18 | 2017 | 126 | |
| 19 | 2013 | 125 | |
| 20 | 2010 | 121 |
About Daniel T. Chang
Daniel T. Chang is a scholar working on Oncology, Surgery, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Radiation, having authored 361 papers that have together received 12.0k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (74 papers), Pancreatic and Hepatic Oncology Research (62 papers), Glioma Diagnosis and Treatment (40 papers), Gastric Cancer Management and Outcomes (37 papers), Hepatocellular Carcinoma Treatment and Prognosis (36 papers), Colorectal and Anal Carcinomas (33 papers), Radiomics and Machine Learning in Medical Imaging (33 papers) and Colorectal Cancer Surgical Treatments (32 papers). The work is most often cited by research in Radiation (2.2k citations), Genetics (1.8k citations), Oncology (4.5k citations), Pulmonary and Respiratory Medicine (4.5k citations) and Radiology, Nuclear Medicine and Imaging (2.4k citations). Daniel T. Chang has collaborated with scholars based in United States, Canada and Taiwan. Frequent co-authors include Albert C. Koong, John R. Adler, Erqi L. Pollom, John R. Adler, Iris C. Gibbs, George A. Fisher, Martin J. Murphy, Griffith R. Harsh, Steven Hancock and Quynh‐Thu Le. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Practical Radiation Oncology, Neurosurgery, Journal of Clinical Oncology and Advances in 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.