Melissa Rammage
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Health Information Management top 10%
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 4
- Surgery 2
- Nausea and vomiting management 2
- Co-authors
- James Gilmore (2 shared papers)N. W. Peacock (2 shared papers)Anna Gu (2 shared papers)Thomas Burke (2 shared papers)Xiting Cao (2 shared papers)M. Christopher Roebuck (2 shared papers)Michael P. Williamson (2 shared papers)Irene Dankwa‐Mullan (3 shared papers)
- Journals
- Journal of Clinical Oncology (4 papers)Annals of Oncology (2 papers)JCO Clinical Cancer Informatics (1 paper)Journal of Oncology Practice (1 paper)Journal of Thoracic Oncology (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Melissa Rammage
9 papers receiving 284 citations
Peers
Comparison fields: 5 of 48
- Health Informatics 57
- Health Information Management 15
- Surgery 132
- Radiology, Nuclear Medicine and Imaging 35
- Physiology 35
Countries citing papers authored by Melissa Rammage
This map shows the geographic impact of Melissa Rammage'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 Melissa Rammage with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Melissa Rammage more than expected).
Fields of papers citing papers by Melissa Rammage
This network shows the impact of papers produced by Melissa Rammage. 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 Melissa Rammage. The network helps show where Melissa Rammage may publish in the future.
Co-authors
The 25 scholars most cited alongside Melissa Rammage, 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 | 2014 | 143 | |
| 2 | 2020 | 82 | |
| 3 | 2018 | 24 | |
| 4 | 2018 | 19 | |
| 5 | 2019 | 10 | |
| 6 | 2017 | 9 | |
| 7 | 2019 | 6 | |
| 8 | 2019 | 4 | |
| 9 | 2012 | 2 |
About Melissa Rammage
Melissa Rammage is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery, Molecular Biology, Health Informatics and Cancer Research, having authored 9 papers that have together received 299 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (4 papers), Artificial Intelligence in Healthcare and Education (2 papers), Biomedical Text Mining and Ontologies (2 papers), Nausea and vomiting management (2 papers), Cancer Genomics and Diagnostics (2 papers), Pathogenesis and Treatment of Hiccups (1 paper), Clinical practice guidelines implementation (1 paper) and AI in cancer detection (1 paper). The work is most often cited by research in Health Informatics (57 citations), Health Information Management (15 citations), Surgery (132 citations), Radiology, Nuclear Medicine and Imaging (35 citations) and Physiology (35 citations). Melissa Rammage has collaborated with scholars based in United States and Canada. Frequent co-authors include James Gilmore, N. W. Peacock, Anna Gu, Thomas Burke, Xiting Cao, M. Christopher Roebuck, Michael P. Williamson, Irene Dankwa‐Mullan, Gretchen Purcell Jackson and Anita M. Preininger. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, JCO Clinical Cancer Informatics, Journal of Oncology Practice and Journal of Thoracic 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.