Kathy Day
Impact in
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- Electronic Health Records Systems
- Issues, ethics and legal aspects top 10%
Papers in
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- Connexins and lens biology 3
- Heat shock proteins research 3
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- Growth Hormone and Insulin-like Growth Factors 4
- Co-authors
- Brian R. Duling (3 shared papers)David N. Damon (2 shared papers)Yaling Liao (1 shared paper)Richard N. Day (5 shared papers)Avi Parush (4 shared papers)Lara Varpio (4 shared papers)Daniel A. Goodenough (1 shared paper)Alexander M. Simon (1 shared paper)
- Journals
- Marine Biology (2 papers)Medical Education (2 papers)Molecular Endocrinology (2 papers)Journal of Biological Chemistry (2 papers)International Journal of Medical Informatics (2 papers)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Kathy Day
26 papers receiving 857 citations
Peers
Comparison fields: 5 of 127
- Health Information Management 72
- Issues, ethics and legal aspects 17
- Molecular Biology 455
- Family Practice 14
- Drug Discovery 1
Countries citing papers authored by Kathy Day
This map shows the geographic impact of Kathy Day'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 Kathy Day with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kathy Day more than expected).
Fields of papers citing papers by Kathy Day
This network shows the impact of papers produced by Kathy Day. 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 Kathy Day. The network helps show where Kathy Day may publish in the future.
Co-authors
The 25 scholars most cited alongside Kathy Day, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 195 | |
| 2 | 2003 | 134 | |
| 3 | 2015 | 71 | |
| 4 | 2007 | 52 | |
| 5 | 2001 | 49 | |
| 6 | 1991 | 45 | |
| 7 | 1994 | 36 | |
| 8 | 2017 | 34 | |
| 9 | 1993 | 31 | |
| 10 | 1991 | 31 | |
| 11 | 2015 | 30 | |
| 12 | 1989 | 29 | |
| 13 | 2020 | 19 | |
| 14 | 1994 | 18 | |
| 15 | 1994 | 17 | |
| 16 | 2016 | 15 | |
| 17 | 1995 | 15 | |
| 18 | 1994 | 12 | |
| 19 | 2017 | 8 | |
| 20 | 1998 | 8 |
About Kathy Day
Kathy Day is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Physiology, Health Information Management and Genetics, having authored 26 papers that have together received 875 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (4 papers), Electronic Health Records Systems (3 papers), Connexins and lens biology (3 papers), Heat shock proteins research (3 papers), Innovations in Medical Education (2 papers), Wound Healing and Treatments (2 papers), Patient Safety and Medication Errors (2 papers) and Nitric Oxide and Endothelin Effects (2 papers). The work is most often cited by research in Health Information Management (72 citations), Issues, ethics and legal aspects (17 citations), Molecular Biology (455 citations), Family Practice (14 citations) and Drug Discovery (1 citation). Kathy Day has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Brian R. Duling, David N. Damon, Yaling Liao, Richard N. Day, Avi Parush, Lara Varpio, Daniel A. Goodenough, Alexander M. Simon, Xavier F. Figueroa and David L. Paul. Their work appears in journals such as Marine Biology, Medical Education, Molecular Endocrinology, Journal of Biological Chemistry and International Journal of Medical Informatics.
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.