Kim Saverno

721 citations
29 papers · 500 indexed · h-index 11

Kim Saverno

27 papers receiving 485 citations

Peers

Kim Saverno
Comparison fields: 5 of 83
  • Geriatrics and Gerontology 108
  • Family Practice 35
  • Medical Terminology 4
  • Health Information Management 55
  • Toxicology 25
Replace Anand Rajeswaran with:
Anand Rajeswaran Switzerland
Eva Karlsson Sweden
Vérane Schwiertz France
Karl Matuszewski United States
Mary E. Ritchey United States
Carole Chambers Canada
Stuart Turner United States
Eliot Fishman United States
Margaret K. Pasquale United States
Raymond J. Muller United States
Kim Saverno relative to Anand Rajeswaran Switzerland Anand Rajeswaran's profile →
Citations per field
00.5×3.4×
Anand Rajeswaran · 1×
Citations per year

Countries citing papers authored by Kim Saverno

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Kim Saverno, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kim Saverno Line = papers co-authored together Kim Saverno links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20241
3 20240
4 202230
5 20212
6 201570
7 20158
8 201525
9 2015102
10 201417
11
Consideration of international generic distribution policies on patient outcomes in the United States and Germany.
20143
12 20134
13 20131
14 20131
15 20121
16 20122
17 20118
18 201120
19 201092
20 200918

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), Medication Adherence and Compliance (4 papers), Pharmaceutical Economics and Policy (4 papers), Pharmaceutical Practices and Patient Outcomes (4 papers), Pharmaceutical studies and practices (4 papers), Advanced Breast Cancer Therapies (3 papers) and Economic and Financial Impacts of Cancer (3 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.

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