Christopher Abbosh
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
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- Lung Cancer Treatments and Mutations 3
- Lung Cancer Diagnosis and Treatment 2
- Oncology 2
- Pancreatic and Hepatic Oncology Research 1
- Lung Cancer Research Studies 1
- Co-authors
- Charles Swanton (5 shared papers)Nicolai J. Birkbak (3 shared papers)Ian F. Dunn (1 shared paper)Omar Arnaout (1 shared paper)Alireza Mehrtash (1 shared paper)Lawrence H. Schwartz (1 shared paper)Hugo J.W.L. Aerts (2 shared papers)Wenya Linda Bi (1 shared paper)
- Journals
- Journal of Thoracic Oncology (2 papers)CA A Cancer Journal for Clinicians (1 paper)Nature Reviews Clinical Oncology (1 paper)Current Opinion in Systems Biology (1 paper)Nature (1 paper)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Christopher Abbosh
5 papers receiving 1.6k citations
Christopher Abbosh's Hit Papers
Peers
Comparison fields: 5 of 121
- Health Informatics 206
- Radiology, Nuclear Medicine and Imaging 606
- Cancer Research 315
- Pulmonary and Respiratory Medicine 382
- Oncology 248
Countries citing papers authored by Christopher Abbosh
This map shows the geographic impact of Christopher Abbosh'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 Christopher Abbosh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Abbosh more than expected).
Fields of papers citing papers by Christopher Abbosh
This network shows the impact of papers produced by Christopher Abbosh. 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 Christopher Abbosh. The network helps show where Christopher Abbosh may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher Abbosh, 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 | Artificial intelligence in cancer imaging: Clinical challenges and applications Hit paper breakdown → | 2019 | 1310 |
| 2 | 2018 | 292 | |
| 3 | 2021 | 40 | |
| 4 | 2021 | 39 | |
| 5 | 2017 | 6 | |
| 6 | 2026 | 0 |
About Christopher Abbosh
Christopher Abbosh is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Radiology, Nuclear Medicine and Imaging, Cancer Research and Pathology and Forensic Medicine, having authored 6 papers that have together received 1.7k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (3 papers), Cancer Genomics and Diagnostics (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Artificial Intelligence in Healthcare and Education (1 paper), Pancreatic and Hepatic Oncology Research (1 paper), Lung Cancer Research Studies (1 paper) and Radiopharmaceutical Chemistry and Applications (1 paper). The work is most often cited by research in Health Informatics (206 citations), Radiology, Nuclear Medicine and Imaging (606 citations), Cancer Research (315 citations), Pulmonary and Respiratory Medicine (382 citations) and Oncology (248 citations). Christopher Abbosh has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Charles Swanton, Nicolai J. Birkbak, Ian F. Dunn, Omar Arnaout, Alireza Mehrtash, Lawrence H. Schwartz, Hugo J.W.L. Aerts, Wenya Linda Bi, Ahmed Hosny and Clare M. Tempany. Their work appears in journals such as Journal of Thoracic Oncology, CA A Cancer Journal for Clinicians, Nature Reviews Clinical Oncology, Current Opinion in Systems Biology and Nature.
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.