Freda Mold

2.4k citations
41 papers · 1.4k · h-index 17

Impact in

Papers in

Freda Mold

38 papers receiving 1.4k citations

Peers

Freda Mold
Comparison fields: 5 of 110
  • Health Information Management 187
  • Geriatrics and Gerontology 79
  • Pharmacy 86
  • General Health Professions 278
  • Public Health, Environmental and Occupational Health 283
Replace Donna Patricia Manca with:
Donna Patricia Manca Canada
Paul W. Baker United Kingdom
Gary S. Fischer United States
Rebecca Etz United States
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Elisa Giulia Liberati United Kingdom
Joann L. Baril United States
Ilana Graetz United States
Joanne L. Callen Australia
Jeroen D. H. van Wijngaarden Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Freda Mold

Since Specialization
Citations

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

Fields of papers citing papers by Freda Mold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017273
2 2014181
3 2019122
4 2011117
5
Patients' online access to their electronic health records and linked online services : a systematic review in primary care
2015112
6 2019112
7 201789
8 201770
9 200346
10 200544
11 201431
12 202123
13 201521
14 202421
15 202220
16 202019
17 200618
18 202117
19 201715
20 201313

About Freda Mold

Freda Mold is a scholar working on General Health Professions, Health Information Management, Endocrinology, Diabetes and Metabolism, Organizational Behavior and Human Resource Management and Public Health, Environmental and Occupational Health, having authored 41 papers that have together received 1.4k indexed citations. Recurring topics across this work include Electronic Health Records Systems (4 papers), Diabetes Management and Education (3 papers), Chronic Disease Management Strategies (3 papers), Primary Care and Health Outcomes (3 papers), Health Literacy and Information Accessibility (3 papers), Healthcare Systems and Technology (3 papers), Healthcare Systems and Practices (2 papers) and Mobile Health and mHealth Applications (2 papers). The work is most often cited by research in Health Information Management (187 citations), Geriatrics and Gerontology (79 citations), Pharmacy (86 citations), General Health Professions (278 citations) and Public Health, Environmental and Occupational Health (283 citations). Freda Mold has collaborated with scholars based in United Kingdom, Sweden and Australia. Frequent co-authors include Simon de Lusignan, Angus Forbes, Wendy Grosvenor, Emma Ream, Anna Cox, Afrodita Marcu, Grace Lucas, Marianne E. F. Piano, Jane Hendy and Yi‐Ling Lai. Their work appears in journals such as BMJ Open, Journal of Medical Internet Research, Health & Social Care in the Community, BMC Geriatrics and Yearbook 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.

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