Jane Taggart

1.5k citations
42 papers · 1.1k · h-index 17

Impact in

Papers in

Jane Taggart

40 papers receiving 1.0k citations

Peers

Jane Taggart
Comparison fields: 5 of 94
  • Health Information Management 100
  • General Health Professions 298
  • Pharmacy 36
  • Management Science and Operations Research 84
  • Endocrinology, Diabetes and Metabolism 78
Replace Joachim Roski with:
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Citations per field
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Citations per year

Countries citing papers authored by Jane Taggart

Since Specialization
Citations

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

Fields of papers citing papers by Jane Taggart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012201
2 2009156
3 2012129
4 201260
5 201438
6 201438
7 201538
8 201033
9 201133
10
Data extraction from electronic health records - existing tools may be unreliable and potentially unsafe.
201330
11 201227
12
Data quality and fitness for purpose of routinely collected data--a general practice case study from an electronic practice-based research network (ePBRN).
201127
13 201126
14 201323
15 201523
16 200822
17 201019
18 201216
19 201716
20 201215

About Jane Taggart

Jane Taggart is a scholar working on General Health Professions, Health Information Management, Epidemiology, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 42 papers that have together received 1.1k indexed citations. Recurring topics across this work include Chronic Disease Management Strategies (7 papers), Primary Care and Health Outcomes (5 papers), Biomedical Text Mining and Ontologies (5 papers), Semantic Web and Ontologies (4 papers), Data Quality and Management (4 papers), Electronic Health Records Systems (4 papers), Health Literacy and Information Accessibility (4 papers) and Diabetes Management and Education (4 papers). The work is most often cited by research in Health Information Management (100 citations), General Health Professions (298 citations), Pharmacy (36 citations), Management Science and Operations Research (84 citations) and Endocrinology, Diabetes and Metabolism (78 citations). Jane Taggart has collaborated with scholars based in Australia, Qatar and United States. Frequent co-authors include Siaw‐Teng Liaw, Sarah Dennis, Mark Harris, Hairong Yu, Elizabeth Denney‐Wilson, Anthony T. Newall, Mark Harris, Nicholas Zwar, Anna Williams and Alireza Rahimi. Their work appears in journals such as International Journal of Medical Informatics, BMC Family Practice, International Journal of Integrated Care, The Medical Journal of Australia and Public Health Research & Practice.

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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