Nicholas Moore
Impact in
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- Cancer Genomics and Diagnostics
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- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Immune cells in cancer
Papers in
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- Lung Cancer Diagnosis and Treatment 2
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- Radiomics and Machine Learning in Medical Imaging 3
- Co-authors
- Saud H. AlDubayan (4 shared papers)Eliezer M. Van Allen (4 shared papers)Hesam Khodadadi (1 shared paper)Krishnan M. Dhandapani (1 shared paper)Babak Baban (1 shared paper)Kumar Vaibhav (1 shared paper)Yujiao Lu (1 shared paper)Mohamed E. Awad (1 shared paper)
- Journals
- International Journal of Radiation Oncology*Biology*Physics (2 papers)JCO Clinical Cancer Informatics (1 paper)Seminars in Radiation Oncology (1 paper)Nature Cancer (1 paper)Cells (1 paper)
- Partner nations
- United StatesSaudi ArabiaUnited Kingdom
In The Last Decade
Nicholas Moore
15 papers receiving 199 citations
Peers
Comparison fields: 5 of 81
- Cancer Research 28
- Immunology 36
- Orthodontics 4
- Surgery 35
- Oncology 20
Countries citing papers authored by Nicholas Moore
This map shows the geographic impact of Nicholas Moore'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 Nicholas Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas Moore more than expected).
Fields of papers citing papers by Nicholas Moore
This network shows the impact of papers produced by Nicholas Moore. 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 Nicholas Moore. The network helps show where Nicholas Moore may publish in the future.
Co-authors
The 25 scholars most cited alongside Nicholas Moore, 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 | 2019 | 46 | |
| 2 | 2023 | 43 | |
| 3 | 2020 | 30 | |
| 4 | 2021 | 24 | |
| 5 | 2002 | 16 | |
| 6 | 2011 | 16 | |
| 7 | 2022 | 11 | |
| 8 | 2024 | 6 | |
| 9 | 2021 | 6 | |
| 10 | 2022 | 2 | |
| 11 | Macrophages asaSource ofTumoricidal Activity (Tumor- Necrotizing Factor) | 1980 | 2 |
| 12 | 2025 | 1 | |
| 13 | 1984 | 1 | |
| 14 | 2022 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2024 | 0 |
About Nicholas Moore
Nicholas Moore is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Hematology, Pediatrics, Perinatology and Child Health and Pharmacy, having authored 16 papers that have together received 206 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (3 papers), Hematopoietic Stem Cell Transplantation (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), Environmental Impact and Sustainability (1 paper), Cancer Genomics and Diagnostics (1 paper), Energy, Environment, and Transportation Policies (1 paper), Gene expression and cancer classification (1 paper) and Climate Change Policy and Economics (1 paper). The work is most often cited by research in Cancer Research (28 citations), Immunology (36 citations), Orthodontics (4 citations), Surgery (35 citations) and Oncology (20 citations). Nicholas Moore has collaborated with scholars based in United States, Saudi Arabia and United Kingdom. Frequent co-authors include Saud H. AlDubayan, Eliezer M. Van Allen, Hesam Khodadadi, Krishnan M. Dhandapani, Babak Baban, Kumar Vaibhav, Yujiao Lu, Mohamed E. Awad, Abbas Jarrahi and Évila Lopes Salles. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, JCO Clinical Cancer Informatics, Seminars in Radiation Oncology, Nature Cancer and Cells.
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.