Rebecca Kush
- Molecular Biology
- Health Information Management top 0.5%
- Public Health, Environmental and Occupational Health top 10%
- Artificial Intelligence top 10%
- Information Systems and Management top 5%
- Co-authors
- Lauren B. BecnelFrank W. RockholdEdward D. HeltonChristian OhmannNadir AmmourRonald D. FitzmartinBrecht ClaerhoutLynn D. Hudson
- Topics
- Electronic Health Records Systems (9 papers)Biomedical Text Mining and Ontologies (8 papers)Ethics in Clinical Research (6 papers)
- Partner nations
- United StatesRussiaJapan
In The Last Decade
Rebecca Kush
27 papers receiving 667 citations
Peers
Comparison fields: 5 of 115
- Molecular Biology 205
- Health Information Management 204
- Public Health, Environmental and Occupational Health 174
- Artificial Intelligence 136
- Information Systems and Management 88
Countries citing papers authored by Rebecca Kush
This map shows the geographic impact of Rebecca Kush'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 Rebecca Kush with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rebecca Kush more than expected).
Fields of papers citing papers by Rebecca Kush
This network shows the impact of papers produced by Rebecca Kush. 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 Rebecca Kush. The network helps show where Rebecca Kush may publish in the future.
Co-authorship network of co-authors of Rebecca Kush
This figure shows the co-authorship network connecting the top 25 collaborators of Rebecca Kush. A scholar is included among the top collaborators of Rebecca Kush 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 Rebecca Kush. Rebecca Kush is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 99 | |
| 4 | 27 | |
| 5 | 6 | |
| 6 | 20 | |
| 7 | 8 | |
| 8 | 13 | |
| 9 | 17 | |
| 10 | 133 | |
| 11 | 24 | |
| 12 | A Collaborative Framework for Representation and Harmonization of Clinical Study Data Elements Using Semantic MediaWiki. | 21 |
| 13 | 3 | |
| 14 | Healthcare standards development. The value of nurturing collaboration. | 13 |
| 15 | 57 | |
| 16 | 52 | |
| 17 | 40 | |
| 18 | 4 | |
| 19 | 0 | |
| 20 | 22 |
About Rebecca Kush
Rebecca Kush is a scholar working on Health Information Management, Health Informatics and Information Systems and Management, having authored 30 papers that have together received 693 indexed citations. Recurring topics across this work include Electronic Health Records Systems (9 papers), Biomedical Text Mining and Ontologies (8 papers) and Ethics in Clinical Research (6 papers). The work is most often cited by research in Health Information Management (204 citations), Health Informatics (36 citations) and Information Systems and Management (88 citations). Rebecca Kush has collaborated with scholars based in United States, Russia and Japan. Frequent co-authors include Lauren B. Becnel, Frank W. Rockhold, Edward D. Helton, Christian Ohmann, Nadir Ammour, Ronald D. Fitzmartin, Brecht Claerhout, Lynn D. Hudson, Pascal Coorevits and Andreas Schmidt. Their work appears in journals such as New England Journal of Medicine, Science Translational Medicine and Drug Discovery Today.
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.