Naina Patel

17 papers receiving 256 citations

Peers

Naina Patel
Comparison fields: 5 of 69
  • General Health Professions 87
  • Public Health, Environmental and Occupational Health 79
  • Endocrinology, Diabetes and Metabolism 72
  • Reproductive Medicine 39
  • Sociology and Political Science 37
Replace A.-M. Bau with:
A.-M. Bau Germany
Laeth Nasir United States
Ebru Gözüyeşil Türkiye
Zahra Mohebbi-Dehnavi Iran
Kathryn Schmidt United States
William F. McCool United States
Gülbahtiyar Demirel Türkiye
Elham Azmoude Iran
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Citations per field
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A.-M. Bau · 1×
Citations per year

Countries citing papers authored by Naina Patel

Since Specialization
Citations

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

Fields of papers citing papers by Naina Patel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naina Patel

This figure shows the co-authorship network connecting the top 25 collaborators of Naina Patel. A scholar is included among the top collaborators of Naina Patel 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 Naina Patel. Naina Patel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 1
2 3
3 53
4 13
5 39
6 59
7 6
8 3
9 12
10 21
11 5
12
Developing and initially evaluating two training modules for healthcare providers, designed to enhance cultural diversity awareness and cultural competence in diabetes
7
13
Disclosure of type 1 diabetes status: a qualitative study in a mixed South Asian population in central England
8
14
Using qualitative research methods to inform the development of a modified version of a patient education module for non-English speakers with type 2 diabetes: experience from an action research project in two South Asian populations in the UK
10
15 7
16
Dementia and minority ethnic older people : managing care in the UK, Denmark and France
17
17
A "race" against time? : social services provision to black elders
8

About Naina Patel

Naina Patel is a scholar working on Pharmacy, Endocrinology, Diabetes and Metabolism and Reproductive Medicine, having authored 17 papers that have together received 272 indexed citations. Recurring topics across this work include Diabetes Management and Education (11 papers), Chronic Disease Management Strategies (4 papers) and Obesity and Health Practices (4 papers). The work is most often cited by research in Pharmacy (36 citations), Reproductive Medicine (39 citations) and Endocrinology, Diabetes and Metabolism (72 citations). Naina Patel has collaborated with scholars based in United Kingdom, Qatar and United States. Frequent co-authors include Melanie J. Davies, Kamlesh Khunti, Margaret Stone, Azhar Farooqi, Freya Tyrer, Michelle Hadjiconstantinou, A. Farooqi, Raghu Raghavan, Miles Levy and Hamidreza Mani. Their work appears in journals such as SHILAP Revista de lepidopterología, BMC Medical Research Methodology and Patient Education and Counseling.

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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