Jay A. Moore
Impact in
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- Lung Cancer Research Studies
- PARP inhibition in cancer therapy
- Pancreatic and Hepatic Oncology Research
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- Cancer Genomics and Diagnostics
Papers in
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- Cancer Genomics and Diagnostics 9
- Oncology 9
- Pancreatic and Hepatic Oncology Research 4
- Co-authors
- Garrett M. Frampton (8 shared papers)Justin Y. Newberg (5 shared papers)Radwa Sharaf (3 shared papers)Smruthy Sivakumar (3 shared papers)Meagan Montesion (2 shared papers)Ericka M. Ebot (2 shared papers)Christine M. Lovly (1 shared paper)Quintin Pan (1 shared paper)
- Journals
- JCO Precision Oncology (3 papers)Journal of Clinical Oncology (2 papers)Blood (1 paper)JNCI Journal of the National Cancer Institute (1 paper)Future Oncology (1 paper)
- Partner nations
- United StatesJapanSwitzerland
In The Last Decade
Jay A. Moore
12 papers receiving 165 citations
Jay A. Moore's Hit Papers
Peers
Comparison fields: 5 of 31
- Oncology 116
- Cancer Research 36
- Pulmonary and Respiratory Medicine 51
- Epidemiology 49
- Molecular Biology 75
Countries citing papers authored by Jay A. Moore
This map shows the geographic impact of Jay 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 Jay 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 Jay A. Moore more than expected).
Fields of papers citing papers by Jay A. Moore
This network shows the impact of papers produced by Jay 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 Jay A. Moore. The network helps show where Jay A. Moore may publish in the future.
Co-authors
The 25 scholars most cited alongside Jay 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
| # | Work | ||
|---|---|---|---|
| 1 | Integrative Analysis of a Large Real-World Cohort of Small Cell Lung Cancer Identifies Distinct Genetic Subtypes and Insights into Histologic Transformation Hit paper breakdown → | 2023 | 75 |
| 2 | 1993 | 20 | |
| 3 | 2022 | 14 | |
| 4 | 2023 | 13 | |
| 5 | 2021 | 12 | |
| 6 | 2023 | 11 | |
| 7 | 2021 | 7 | |
| 8 | 2023 | 5 | |
| 9 | 2024 | 3 | |
| 10 | 2021 | 3 | |
| 11 | 2021 | 2 | |
| 12 | 2018 | 1 | |
| 13 | 2024 | 0 | |
| 14 | 2024 | 0 |
About Jay A. Moore
Jay A. Moore is a scholar working on Cancer Research, Oncology, Surgery, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 14 papers that have together received 166 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (9 papers), Pancreatic and Hepatic Oncology Research (4 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers), Lymphoma Diagnosis and Treatment (2 papers), Prostate Cancer Treatment and Research (1 paper), Health Systems, Economic Evaluations, Quality of Life (1 paper), Lung Cancer Treatments and Mutations (1 paper) and Renal and related cancers (1 paper). The work is most often cited by research in Oncology (116 citations), Cancer Research (36 citations), Pulmonary and Respiratory Medicine (51 citations), Epidemiology (49 citations) and Molecular Biology (75 citations). Jay A. Moore has collaborated with scholars based in United States, Japan and Switzerland. Frequent co-authors include Garrett M. Frampton, Justin Y. Newberg, Radwa Sharaf, Smruthy Sivakumar, Meagan Montesion, Ericka M. Ebot, Christine M. Lovly, Quintin Pan, Caterina I. Colón and Douglas I. Lin. Their work appears in journals such as JCO Precision Oncology, Journal of Clinical Oncology, Blood, JNCI Journal of the National Cancer Institute and Future Oncology.
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.