David A. Moore
Impact in
-
- Lung Cancer Treatments and Mutations
- Lung Cancer Diagnosis and Treatment
Papers in
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- Lung Cancer Treatments and Mutations 6
- Lung Cancer Diagnosis and Treatment 2
- Oncology 6
- Co-authors
- Josef K. Schmutz (1 shared paper)Richard W. Fyfe (1 shared paper)Alan Р. Smith (1 shared paper)Philip Bennett (4 shared papers)Evelyn H. Merrill (1 shared paper)Madhumita Das (2 shared papers)Marco Sereno (2 shared papers)Shannon Myers Virtue (1 shared paper)
- Journals
- Lung Cancer (3 papers)Journal of Clinical Pathology (2 papers)Scientific Reports (1 paper)Modern Pathology (1 paper)Journal of Wildlife Management (1 paper)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
David A. Moore
23 papers receiving 134 citations
Peers
Comparison fields: 5 of 49
- Pulmonary and Respiratory Medicine 49
- Ecological Modeling 7
- Cancer Research 16
- Ecology 28
- Oncology 24
Countries citing papers authored by David A. Moore
This map shows the geographic impact of David A. 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 David A. Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David A. Moore more than expected).
Fields of papers citing papers by David A. Moore
This network shows the impact of papers produced by David A. 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 David A. Moore. The network helps show where David A. Moore may publish in the future.
Co-authors
The 25 scholars most cited alongside David A. 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
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1984 | 24 | |
| 2 | 2020 | 16 | |
| 3 | 2017 | 15 | |
| 4 | 2008 | 15 | |
| 5 | 2022 | 13 | |
| 6 | 2021 | 11 | |
| 7 | 2012 | 8 | |
| 8 | 2019 | 8 | |
| 9 | 2022 | 6 | |
| 10 | 2023 | 5 | |
| 11 | 2021 | 5 | |
| 12 | 1993 | 3 | |
| 13 | 2025 | 2 | |
| 14 | 2022 | 2 | |
| 15 | 2018 | 2 | |
| 16 | 2024 | 2 | |
| 17 | 1997 | 2 | |
| 18 | Neural Block Sampling. | 2017 | 1 |
| 19 | The evolution of sensitivity in HMX-based explosives during the reversion from delta to beta-phase | 2007 | 1 |
| 20 | 2024 | 1 |
About David A. Moore
David A. Moore is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Molecular Biology, Ecology and Artificial Intelligence, having authored 27 papers that have together received 145 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (6 papers), Cancer Genomics and Diagnostics (2 papers), Rangeland and Wildlife Management (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), Cancer Research and Treatments (2 papers), Gaussian Processes and Bayesian Inference (2 papers), Marine animal studies overview (1 paper) and Wildlife Ecology and Conservation (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (49 citations), Ecological Modeling (7 citations), Cancer Research (16 citations), Ecology (28 citations) and Oncology (24 citations). David A. Moore has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Josef K. Schmutz, Richard W. Fyfe, Alan Р. Smith, Philip Bennett, Evelyn H. Merrill, Madhumita Das, Marco Sereno, Shannon Myers Virtue, Mark M. Moasser and H. S. Rugo. Their work appears in journals such as Lung Cancer, Journal of Clinical Pathology, Scientific Reports, Modern Pathology and Journal of Wildlife Management.
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.