Jamie Moon
Impact in
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- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
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- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
Papers in
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- Signaling Pathways in Disease 1
- Machine Learning in Bioinformatics 1
- Protein Degradation and Inhibitors 1
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- Prostate Cancer Treatment and Research 1
- Medical Imaging and Pathology Studies 1
- Co-authors
- Vladislav Petyuk (2 shared papers)Marina Gritsenko (2 shared papers)Paul Piehowski (2 shared papers)Karin Rodland (2 shared papers)Karl Weitz (2 shared papers)Tao Liu (1 shared paper)Rodrigo Chuaqui (1 shared paper)Hala R. Makhlouf (1 shared paper)
- Journals
- Clinical Proteomics (2 papers)Cancers (1 paper)Science Signaling (1 paper)Molecular & Cellular Proteomics (1 paper)The Journal of Clinical Endocrinology & Metabolism (1 paper)
- Partner nations
- United StatesThailandGermany
In The Last Decade
Jamie Moon
7 papers receiving 69 citations
Peers
Comparison fields: 5 of 27
- Spectroscopy 34
- Cancer Research 15
- Hematology 8
- Molecular Biology 46
- Transplantation 1
Countries citing papers authored by Jamie Moon
This map shows the geographic impact of Jamie Moon'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 Jamie Moon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jamie Moon more than expected).
Fields of papers citing papers by Jamie Moon
This network shows the impact of papers produced by Jamie Moon. 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 Jamie Moon. The network helps show where Jamie Moon may publish in the future.
Co-authors
The 25 scholars most cited alongside Jamie Moon, 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 | 2018 | 34 | |
| 2 | 2022 | 14 | |
| 3 | 2022 | 8 | |
| 4 | 2021 | 7 | |
| 5 | 2023 | 3 | |
| 6 | RECURRENT NECK MASS FOLLOWING IRRADIATION OF HODGKIN'S DISEASE. | 1968 | 2 |
| 7 | 2024 | 1 | |
| 8 | 2024 | 0 |
About Jamie Moon
Jamie Moon is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Spectroscopy and Nephrology, having authored 8 papers that have together received 69 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Signaling Pathways in Disease (1 paper), Machine Learning in Bioinformatics (1 paper), Protein Degradation and Inhibitors (1 paper), Prostate Cancer Treatment and Research (1 paper), Medical Imaging and Pathology Studies (1 paper) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Spectroscopy (34 citations), Cancer Research (15 citations), Hematology (8 citations), Molecular Biology (46 citations) and Transplantation (1 citation). Jamie Moon has collaborated with scholars based in United States, Thailand and Germany. Frequent co-authors include Vladislav Petyuk, Marina Gritsenko, Paul Piehowski, Karin Rodland, Karl Weitz, Tao Liu, Rodrigo Chuaqui, Hala R. Makhlouf, Richard Smith and Ryan Sontag. Their work appears in journals such as Clinical Proteomics, Cancers, Science Signaling, Molecular & Cellular Proteomics and The Journal of Clinical Endocrinology & Metabolism.
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.