Kim Saverno
- Pulmonary and Respiratory Medicine
- Economics and Econometrics top 10%
- Geriatrics and Gerontology top 5%
- Oncology
- General Health Professions
- Co-authors
- Daniel C. MaloneAmy J. GrizzleLisa E. HinesAnn M. TaylorTerri WarholakUwe SiebertChad MoretzYunping Zhou
- Topics
- Health Systems, Economic Evaluations, Quality of Life (7 papers)Breast Cancer Treatment Studies (5 papers)Medication Adherence and Compliance (4 papers)
- Journals
- Journal of Clinical OncologyAnnals of OncologyJournal of the American Medical Informatics Association
- Partner nations
- United StatesAustriaUnited Kingdom
In The Last Decade
Kim Saverno
27 papers receiving 485 citations
Peers
Comparison fields: 5 of 83
- Pulmonary and Respiratory Medicine 139
- Economics and Econometrics 117
- Geriatrics and Gerontology 108
- Oncology 66
- General Health Professions 65
Countries citing papers authored by Kim Saverno
This map shows the geographic impact of Kim Saverno'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 Kim Saverno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kim Saverno more than expected).
Fields of papers citing papers by Kim Saverno
This network shows the impact of papers produced by Kim Saverno. 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 Kim Saverno. The network helps show where Kim Saverno may publish in the future.
Co-authorship network of co-authors of Kim Saverno
This figure shows the co-authorship network connecting the top 25 collaborators of Kim Saverno. A scholar is included among the top collaborators of Kim Saverno 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 Kim Saverno. Kim Saverno 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 | 1 | |
| 3 | 0 | |
| 4 | 30 | |
| 5 | 2 | |
| 6 | 70 | |
| 7 | 8 | |
| 8 | 25 | |
| 9 | 102 | |
| 10 | 17 | |
| 11 | Consideration of international generic distribution policies on patient outcomes in the United States and Germany. | 3 |
| 12 | 4 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 8 | |
| 18 | 20 | |
| 19 | 92 | |
| 20 | 18 |
About Kim Saverno
Kim Saverno is a scholar working on Family Practice, Issues, ethics and legal aspects and Geriatrics and Gerontology, having authored 29 papers that have together received 500 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (7 papers), Breast Cancer Treatment Studies (5 papers) and Medication Adherence and Compliance (4 papers). The work is most often cited by research in Geriatrics and Gerontology (108 citations), Family Practice (35 citations) and Medical Terminology (4 citations). Kim Saverno has collaborated with scholars based in United States, Austria and United Kingdom. Frequent co-authors include Daniel C. Malone, Amy J. Grizzle, Lisa E. Hines, Ann M. Taylor, Terri Warholak, Uwe Siebert, Chad Moretz, Yunping Zhou, Gagan Jain and Amol D. Dhamane. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology and Journal of the American Medical Informatics Association.
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.