Kitty Huang
Impact in
- Radiation top 5%
- Advanced Radiotherapy Techniques
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- Lung Cancer Diagnosis and Treatment
- Lung Cancer Treatments and Mutations
- Prostate Cancer Diagnosis and Treatment
Papers in
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- Lung Cancer Diagnosis and Treatment 5
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 1
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- Radiomics and Machine Learning in Medical Imaging 3
- Medical Imaging Techniques and Applications 3
- Radiation Dose and Imaging 1
- Co-authors
- David A. Palma (6 shared papers)Suresh Senan (4 shared papers)George Rodrigues (2 shared papers)Aaron D. Ward (2 shared papers)Gabriel Boldt (1 shared paper)Matthias Gückenberger (1 shared paper)Max Dahele (1 shared paper)Andrew Warner (2 shared papers)
- Journals
- Radiotherapy and Oncology (2 papers)International Journal of Radiation Oncology*Biology*Physics (1 paper)Journal of Thoracic Oncology (1 paper)Head & Neck (1 paper)Brachytherapy (1 paper)
- Partner nations
- CanadaNetherlandsGermany
In The Last Decade
Kitty Huang
8 papers receiving 385 citations
Peers
Comparison fields: 5 of 30
- Radiation 204
- Pulmonary and Respiratory Medicine 339
- Radiology, Nuclear Medicine and Imaging 220
- Otorhinolaryngology 26
- Obstetrics and Gynecology 22
Countries citing papers authored by Kitty Huang
This map shows the geographic impact of Kitty Huang'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 Kitty Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kitty Huang more than expected).
Fields of papers citing papers by Kitty Huang
This network shows the impact of papers produced by Kitty Huang. 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 Kitty Huang. The network helps show where Kitty Huang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kitty Huang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 156 | |
| 2 | 2013 | 96 | |
| 3 | 2012 | 50 | |
| 4 | 2015 | 44 | |
| 5 | 2016 | 22 | |
| 6 | 2014 | 18 | |
| 7 | 2021 | 3 | |
| 8 | 2013 | 2 |
About Kitty Huang
Kitty Huang is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Radiation, Otorhinolaryngology and Surgery, having authored 8 papers that have together received 391 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (5 papers), Advanced Radiotherapy Techniques (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Medical Imaging Techniques and Applications (3 papers), Head and Neck Cancer Studies (2 papers), Radiation Dose and Imaging (1 paper), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper) and Salivary Gland Tumors Diagnosis and Treatment (1 paper). The work is most often cited by research in Radiation (204 citations), Pulmonary and Respiratory Medicine (339 citations), Radiology, Nuclear Medicine and Imaging (220 citations), Otorhinolaryngology (26 citations) and Obstetrics and Gynecology (22 citations). Kitty Huang has collaborated with scholars based in Canada, Netherlands and Germany. Frequent co-authors include David A. Palma, Suresh Senan, George Rodrigues, Aaron D. Ward, Gabriel Boldt, Matthias Gückenberger, Max Dahele, Andrew Warner, Sashendra Senthi and F. Spoelstra. Their work appears in journals such as Radiotherapy and Oncology, International Journal of Radiation Oncology*Biology*Physics, Journal of Thoracic Oncology, Head & Neck and Brachytherapy.
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.