Colton Ladbury
- Pulmonary and Respiratory Medicine
- Radiology, Nuclear Medicine and Imaging top 10%
- Oncology
- Radiation top 10%
- Artificial Intelligence
- Co-authors
- Sameer K. NathChad G. RusthovenBrian D. KavanaghD. Ross CamidgeArya AminiScott GlaserRavi SalgiaTerence M. Williams
- Topics
- Advanced Radiotherapy Techniques (15 papers)Lung Cancer Diagnosis and Treatment (14 papers)Radiomics and Machine Learning in Medical Imaging (9 papers)
- Journals
- International Journal of Radiation Oncology*Biology*PhysicsFrontiers in ImmunologyMedical Physics
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Colton Ladbury
58 papers receiving 456 citations
Peers
Comparison fields: 5 of 59
- Pulmonary and Respiratory Medicine 185
- Radiology, Nuclear Medicine and Imaging 177
- Oncology 164
- Radiation 72
- Artificial Intelligence 62
Countries citing papers authored by Colton Ladbury
This map shows the geographic impact of Colton Ladbury'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 Colton Ladbury with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Colton Ladbury more than expected).
Fields of papers citing papers by Colton Ladbury
This network shows the impact of papers produced by Colton Ladbury. 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 Colton Ladbury. The network helps show where Colton Ladbury may publish in the future.
Co-authorship network of co-authors of Colton Ladbury
This figure shows the co-authorship network connecting the top 25 collaborators of Colton Ladbury. A scholar is included among the top collaborators of Colton Ladbury 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 Colton Ladbury. Colton Ladbury is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 6 | |
| 7 | 2 | |
| 8 | 17 | |
| 9 | 6 | |
| 10 | 16 | |
| 11 | 3 | |
| 12 | 3 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 2 | |
| 16 | 48 | |
| 17 | 10 | |
| 18 | 2 | |
| 19 | 3 | |
| 20 | 6 |
About Colton Ladbury
Colton Ladbury is a scholar working on Otorhinolaryngology, Radiation and Radiology, Nuclear Medicine and Imaging, having authored 67 papers that have together received 461 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (15 papers), Lung Cancer Diagnosis and Treatment (14 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). The work is most often cited by research in Health Informatics (30 citations), Radiation (72 citations) and Radiology, Nuclear Medicine and Imaging (177 citations). Colton Ladbury has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Sameer K. Nath, Chad G. Rusthoven, Brian D. Kavanagh, D. Ross Camidge, Arya Amini, Scott Glaser, Ravi Salgia, Terence M. Williams, Andréi S. Rodin and An Liu. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Frontiers in Immunology and Medical Physics.
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.