David A. Moore
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Oncology top 10%
- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
- Cutaneous Melanoma Detection and Management
Papers in
-
- Molecular Biology Techniques and Applications 3
- Oncology 10
- Cutaneous Melanoma Detection and Management 4
- Co-authors
- Patrick Carroll (1 shared paper)F Gudat (1 shared paper)Karen Chew (1 shared paper)Michael J. Mihatsch (1 shared paper)Russell Kerschmann (1 shared paper)Guido Sauter (1 shared paper)Holger Moch (1 shared paper)Fred Waldman (1 shared paper)
- Journals
- Nature Communications (4 papers)Gynecologic Oncology (3 papers)Journal of Clinical Pathology (2 papers)Oncotarget (2 papers)Cancer Research (2 papers)
- Partner nations
- United KingdomUnited StatesBelgium
In The Last Decade
David A. Moore
28 papers receiving 778 citations
Peers
Comparison fields: 5 of 91
- Cancer Research 171
- Oncology 300
- Reproductive Medicine 81
- Obstetrics and Gynecology 61
- Biotechnology 61
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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Heterogeneity of erbB-2 gene amplification in bladder cancer. | 1993 | 170 |
| 2 | 2017 | 70 | |
| 3 | 2018 | 70 | |
| 4 | 2018 | 69 | |
| 5 | 1998 | 62 | |
| 6 | 1995 | 47 | |
| 7 | 2017 | 41 | |
| 8 | 1996 | 39 | |
| 9 | 2024 | 29 | |
| 10 | 2023 | 25 | |
| 11 | 2018 | 25 | |
| 12 | 2015 | 24 | |
| 13 | 2024 | 22 | |
| 14 | 2017 | 21 | |
| 15 | 2017 | 21 | |
| 16 | 2015 | 16 | |
| 17 | 2018 | 12 | |
| 18 | 2011 | 10 | |
| 19 | 2013 | 8 | |
| 20 | 2023 | 7 |
About David A. Moore
David A. Moore is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Artificial Intelligence, having authored 31 papers that have together received 806 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (9 papers), Cutaneous Melanoma Detection and Management (4 papers), Lung Cancer Treatments and Mutations (4 papers), Molecular Biology Techniques and Applications (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), AI in cancer detection (3 papers), Sarcoma Diagnosis and Treatment (2 papers) and Renal cell carcinoma treatment (2 papers). The work is most often cited by research in Cancer Research (171 citations), Oncology (300 citations), Reproductive Medicine (81 citations), Obstetrics and Gynecology (61 citations) and Biotechnology (61 citations). David A. Moore has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Patrick Carroll, F Gudat, Karen Chew, Michael J. Mihatsch, Russell Kerschmann, Guido Sauter, Holger Moch, Fred Waldman, Gregory P. Sutton and John Le Quesne. Their work appears in journals such as Nature Communications, Gynecologic Oncology, Journal of Clinical Pathology, Oncotarget and Cancer Research.
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.