Kimberly S. Davis
- Endocrinology, Diabetes and Metabolism top 10%
- General Health Professions top 10%
- Epidemiology
- Public Health, Environmental and Occupational Health
- Family Practice top 5%
- Co-authors
- Rebekah J. WalkerLeonard E. EgedeJennifer A. CampbellBrittany L. SmallsMelba A. Hernandez‐TejadaWilliam P. MoranPatrick D. MauldinYumin Zhao
- Topics
- Diabetes Management and Education (4 papers)Primary Care and Health Outcomes (3 papers)Diabetes Management and Research (3 papers)
- Cited by
- Family PracticeEndocrinology, Diabetes and MetabolismNeuropsychology and Physiological Psychology
- Journals
- Journal of the American Geriatrics SocietyJournal of General Internal MedicineAcademic Medicine
- Partner nations
- United StatesTaiwan
In The Last Decade
Kimberly S. Davis
13 papers receiving 312 citations
Peers
Comparison fields: 5 of 72
- Endocrinology, Diabetes and Metabolism 158
- General Health Professions 112
- Epidemiology 91
- Public Health, Environmental and Occupational Health 52
- Family Practice 42
Countries citing papers authored by Kimberly S. Davis
This map shows the geographic impact of Kimberly S. Davis'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 Kimberly S. Davis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kimberly S. Davis more than expected).
Fields of papers citing papers by Kimberly S. Davis
This network shows the impact of papers produced by Kimberly S. Davis. 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 Kimberly S. Davis. The network helps show where Kimberly S. Davis may publish in the future.
Co-authorship network of co-authors of Kimberly S. Davis
This figure shows the co-authorship network connecting the top 25 collaborators of Kimberly S. Davis. A scholar is included among the top collaborators of Kimberly S. Davis 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 Kimberly S. Davis. Kimberly S. Davis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 6 | |
| 3 | 17 | |
| 4 | 12 | |
| 5 | 102 | |
| 6 | 13 | |
| 7 | 48 | |
| 8 | 82 | |
| 9 | 19 | |
| 10 | 10 | |
| 11 | 7 | |
| 12 | Physicians, Patients, and EHRs. When it comes to a consultation, is three a crowd? | 1 |
| 13 | 2 |
About Kimberly S. Davis
Kimberly S. Davis is a scholar working on Neuropsychology and Physiological Psychology, Geriatrics and Gerontology and Family Practice, having authored 13 papers that have together received 330 indexed citations. Recurring topics across this work include Diabetes Management and Education (4 papers), Primary Care and Health Outcomes (3 papers) and Diabetes Management and Research (3 papers). The work is most often cited by research in Family Practice (42 citations), Endocrinology, Diabetes and Metabolism (158 citations) and Neuropsychology and Physiological Psychology (13 citations). Kimberly S. Davis has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Rebekah J. Walker, Leonard E. Egede, Jennifer A. Campbell, Brittany L. Smalls, Melba A. Hernandez‐Tejada, William P. Moran, Patrick D. Mauldin, Yumin Zhao, Jane G. Zapka and Cara B. Litvin. Their work appears in journals such as Journal of the American Geriatrics Society, Journal of General Internal Medicine and Academic Medicine.
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.