Emma Barron

4.0k citations
34 papers · 2.2k indexed · 3 hit papers · h-index 17

Impact in

Papers in

Emma Barron

32 papers receiving 2.2k citations

Hit Papers

Risk factors for COVID-19-related mortality in people with type 1 and type 2 diabetes in England: a population-based cohort study 2020 · 600 citations
6002019202620212023200400600

Peers

Emma Barron
Comparison fields: 5 of 119
  • Endocrinology, Diabetes and Metabolism 1.0k
  • Infectious Diseases 1.0k
  • Occupational Therapy 145
  • Rehabilitation 185
  • Neurology 357
Replace Bob Young with:
Bob Young United Kingdom
Naomi Holman United Kingdom
Edward Burn United Kingdom
Peter Knighton United Kingdom
Thomas G. Cooney United States
B. Detournay France
Rimesh Pal India
Chirag Bakhai United Kingdom
Briana Coles United Kingdom
Roberto Gnavi Italy
Emma Barron relative to Bob Young United Kingdom Bob Young's profile →
Citations per field
00.5×1.5×
Bob Young · 1×
Citations per year

Countries citing papers authored by Emma Barron

Since Specialization
Citations

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

Fields of papers citing papers by Emma Barron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20241
4 202418
5 20241
6 202422
7 20231
8 20231
9 202325
10 202232
11 202117
12 2021123
13 202141
14
Associations of type 1 and type 2 diabetes with COVID-19-related mortality in England: a whole-population study
Hit paper breakdown →
2020639
15 20209
16
Risk factors for COVID-19-related mortality in people with type 1 and type 2 diabetes in England: a population-based cohort study
Hit paper breakdown →
2020600
17 2019125
18 201717
19 200614
20 200556

About Emma Barron

Emma Barron is a scholar working on Endocrinology, Diabetes and Metabolism, Pharmacy, Occupational Therapy, Infectious Diseases and Epidemiology, having authored 34 papers that have together received 2.2k indexed citations. Recurring topics across this work include Chronic Disease Management Strategies (13 papers), Diabetes Management and Research (10 papers), COVID-19 Clinical Research Studies (8 papers), Diabetes Management and Education (6 papers), Diabetes and associated disorders (5 papers), Obesity and Health Practices (5 papers), COVID-19 and healthcare impacts (5 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.0k citations), Infectious Diseases (1.0k citations), Occupational Therapy (145 citations), Rehabilitation (185 citations) and Neurology (357 citations). Emma Barron has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Bob Young, Jonathan Valabhji, Kamlesh Khunti, Chirag Bakhai, Nicholas J. Wareham, Partha Kar, Naomi Holman, Naveed Sattar, Peter Knighton and Dominique Bradley. Their work appears in journals such as The Lancet Diabetes & Endocrinology, Diabetic Medicine, BMJ Open Diabetes Research & Care, Nature Medicine and Diabetes Care.

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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