Melissa Rammage

416 total citations
9 papers, 275 citations indexed

About

Melissa Rammage is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Molecular Biology. According to data from OpenAlex, Melissa Rammage has authored 9 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Surgery and 2 papers in Molecular Biology. Recurrent topics in Melissa Rammage's work include Radiomics and Machine Learning in Medical Imaging (4 papers), Nausea and vomiting management (2 papers) and Cancer Genomics and Diagnostics (2 papers). Melissa Rammage is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), Nausea and vomiting management (2 papers) and Cancer Genomics and Diagnostics (2 papers). Melissa Rammage collaborates with scholars based in United States and Canada. Melissa Rammage's co-authors include James Gilmore, Xiting Cao, Anna Gu, N. W. Peacock, Thomas Burke, M. Christopher Roebuck, Michael P. Williamson, Irene Dankwa‐Mullan, Anita M. Preininger and J. Thaddeus Beck and has published in prestigious journals such as Journal of Clinical Oncology, Annals of Oncology and Journal of Thoracic Oncology.

In The Last Decade

Melissa Rammage

9 papers receiving 264 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Melissa Rammage United States 7 133 69 66 57 51 9 275
Dara Bracken‐Clarke United States 7 26 0.2× 93 1.3× 33 0.5× 30 0.5× 73 1.4× 19 351
Evelyn Klein Germany 11 120 0.9× 30 0.4× 13 0.2× 38 0.7× 11 0.2× 33 382
Joseph Sutton United States 5 39 0.3× 13 0.2× 12 0.2× 35 0.6× 16 0.3× 12 288
Saaket Agrawal United States 9 46 0.3× 7 0.1× 72 1.1× 22 0.4× 14 0.3× 13 308
Ross O’Hagan United States 9 28 0.2× 48 0.7× 10 0.2× 11 0.2× 38 0.7× 27 236
Golnar Karimian Netherlands 10 57 0.4× 78 1.1× 3 0.0× 30 0.5× 34 0.7× 12 351
Lorenz A. Kapsner Germany 10 16 0.1× 18 0.3× 28 0.4× 24 0.4× 59 1.2× 29 260
Martin Langanke Germany 9 12 0.1× 31 0.4× 16 0.2× 65 1.1× 15 0.3× 23 192
Samuel Whipple United States 5 14 0.1× 44 0.6× 11 0.2× 56 1.0× 43 0.8× 9 312
Marc Landsman United States 9 35 0.3× 31 0.4× 14 0.2× 12 0.2× 21 0.4× 20 261

Countries citing papers authored by Melissa Rammage

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Melissa Rammage

This figure shows the co-authorship network connecting the top 25 collaborators of Melissa Rammage. A scholar is included among the top collaborators of Melissa Rammage based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Melissa Rammage. Melissa Rammage is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Beck, J. Thaddeus, Melissa Rammage, Gretchen Purcell Jackson, et al.. (2020). Artificial Intelligence Tool for Optimizing Eligibility Screening for Clinical Trials in a Large Community Cancer Center. JCO Clinical Cancer Informatics. 4(4). 50–59. 70 indexed citations
2.
Leventakos, Konstantinos, J. Helgeson, Aaron S. Mansfield, et al.. (2019). P1.16-14 Effects of an Artificial Intelligence (AI) System on Clinical Trial Enrollment in Lung Cancer. Journal of Thoracic Oncology. 14(10). S592–S592. 6 indexed citations
3.
Jin, Zhao-Hui, Tufia C. Haddad, Joleen M. Hubbard, et al.. (2019). A pilot study to implement an artificial intelligence (AI) system for gastrointestinal cancer clinical trial matching. Annals of Oncology. 30. v582–v582. 4 indexed citations
4.
Leventakos, Konstantinos, J. Helgeson, Aaron S. Mansfield, et al.. (2019). Implementation of artificial intelligence (AI) for lung cancer clinical trial matching in a tertiary cancer center. Annals of Oncology. 30. ii74–ii74. 7 indexed citations
5.
Helgeson, J., Melissa Rammage, Alexandra Urman, et al.. (2018). Clinical performance pilot using cognitive computing for clinical trial matching at Mayo Clinic.. Journal of Clinical Oncology. 36(15_suppl). e18598–e18598. 16 indexed citations
6.
Haddad, Tufia C., et al.. (2018). Impact of a cognitive computing clinical trial matching system in an ambulatory oncology practice.. Journal of Clinical Oncology. 36(15_suppl). 6550–6550. 19 indexed citations
7.
Beck, J. Thaddeus, Irene Dankwa‐Mullan, Alexandra Urman, et al.. (2017). Cognitive technology addressing optimal cancer clinical trial matching and protocol feasibility in a community cancer practice.. Journal of Clinical Oncology. 35(15_suppl). 6501–6501. 9 indexed citations
8.
Gilmore, James, N. W. Peacock, Anna Gu, et al.. (2014). Antiemetic Guideline Consistency and Incidence of Chemotherapy-Induced Nausea and Vomiting in US Community Oncology Practice: INSPIRE Study. Journal of Oncology Practice. 10(1). 68–74. 142 indexed citations
9.
Gilmore, James, N. W. Peacock, Anna Gu, et al.. (2012). Antiemetic guideline consistency and incidence of chemotherapy-induced nausea and vomiting (CINV) in U.S. community oncology practice: INSPIRE study.. Journal of Clinical Oncology. 30(34_suppl). 167–167. 2 indexed citations

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.

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