Ann Slee

25 papers receiving 423 citations

Peers

Ann Slee
Comparison fields: 5 of 75
  • Health Information Management 182
  • Medical Terminology 6
  • Geriatrics and Gerontology 51
  • Medical Laboratory Technology 16
  • Applied Microbiology and Biotechnology 17
Replace Rosemary Burke with:
Rosemary Burke Australia
Richard F. Gibson United States
Jennifer L. Wilson‐Norton United States
Olufunmilola K. Odukoya United States
Anne Bobb United States
Bethany A. Van Dort Australia
Jasperien E. van Doormaal Netherlands
Matthew Ditmore United States
Clare Tolley United Kingdom
Matthew Berger United States
Ann Slee relative to Rosemary Burke Australia Rosemary Burke's profile →
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Citations per year

Countries citing papers authored by Ann Slee

Since Specialization
Citations

This map shows the geographic impact of Ann Slee'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 Ann Slee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ann Slee more than expected).

Fields of papers citing papers by Ann Slee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ann Slee. 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 Ann Slee. The network helps show where Ann Slee may publish in the future.

Co-authors

The 25 scholars most cited alongside Ann Slee, 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 Ann Slee Line = papers co-authored together Ann Slee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201378
2 201462
3 201342
4 201830
5 201330
6 201322
7 201320
8
Making IT work - harnessing the power of health information technology ti improve care in England
201620
9 201918
10 201416
11 201512
12 201012
13 201611
14 201510
15 20179
16 20227
17 20167
18 20106
19 20146
20 20216

About Ann Slee

Ann Slee is a scholar working on Health Information Management, Applied Microbiology and Biotechnology, Organizational Behavior and Human Resource Management, General Health Professions and Geriatrics and Gerontology, having authored 29 papers that have together received 435 indexed citations. Recurring topics across this work include Electronic Health Records Systems (12 papers), Antibiotic Use and Resistance (7 papers), Healthcare Systems and Technology (5 papers), Pharmaceutical Practices and Patient Outcomes (2 papers), Primary Care and Health Outcomes (2 papers), Medical Coding and Health Information (1 paper), Mobile Health and mHealth Applications (1 paper) and Medical Research and Practices (1 paper). The work is most often cited by research in Health Information Management (182 citations), Medical Terminology (6 citations), Geriatrics and Gerontology (51 citations), Medical Laboratory Technology (16 citations) and Applied Microbiology and Biotechnology (17 citations). Ann Slee has collaborated with scholars based in United Kingdom, United States and Iran. Frequent co-authors include Jamie J. Coleman, Aziz Sheikh, Kathrin Cresswell, Robin Williams, Sarah P. Slight, Sarah McDowell, David W. Bates, Anthony Avery, Alan Girling and Zoë Morrison. Their work appears in journals such as PLoS ONE, Journal of Innovation in Health Informatics, British Journal of Clinical Pharmacology, BMC Medical Informatics and Decision Making and Journal of the Royal Society of 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.

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