Natalie Staplin

17.4k citations
96 papers · 11.8k · 8 hit papers · h-index 35

Impact in

    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
  • Nephrology top 0.5%
    • Chronic Kidney Disease and Diabetes

Papers in

Natalie Staplin

90 papers receiving 11.4k citations

Natalie Staplin's Hit Papers

Efficacy and safety of SGLT2 inhibitors with and without glucagon-like peptide 1 receptor agonists: a SMART-C collaborative meta-analysis of randomised controlled trials 2024 · 101 citations
1010+2+4Years since publication2.0k4.0k6.0k

Peers

Natalie Staplin
Comparison fields: 5 of 160
  • Infectious Diseases 4.6k
  • Nephrology 1.0k
  • Neurology 2.0k
  • Critical Care and Intensive Care Medicine 470
  • Endocrinology, Diabetes and Metabolism 1.4k
Replace Nigel John Brunskill with:
Nigel John Brunskill United Kingdom
Jamie S. Hirsch United States
Laurie A. Tomlinson United Kingdom
Marion M. Mafham United Kingdom
Colin J. McArthur New Zealand
Bruno François France
Frank Martin Brunkhorst Germany
Luciano César Pontes Azevedo Brazil
Alexandre Biasi Cavalcanti Brazil
Otavio B Berwanger Brazil
Natalie Staplin relative to Nigel John Brunskill United Kingdom Nigel John Brunskill's profile →
Citations per field
00.5×2×3×4×4.6×
Nigel John Brunskill · 1×
Citations per year

Countries citing papers authored by Natalie Staplin

Since Specialization
Citations

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

Fields of papers citing papers by Natalie Staplin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Dexamethasone in Hospitalized Patients with Covid-19.
Hit paper breakdown →
20206645
2
Impact of diabetes on the effects of sodium glucose co-transporter-2 inhibitors on kidney outcomes: collaborative meta-analysis of large placebo-controlled trials
Hit paper breakdown →
2022747
3 2020519
4
Association Between Administration of IL-6 Antagonists and Mortality Among Patients Hospitalized for COVID-19
Hit paper breakdown →
2021501
5
Azithromycin in patients admitted to hospital with COVID-19 (RECOVERY): a randomised, controlled, open-label, platform trial
Hit paper breakdown →
2021403
6
Estimated Glomerular Filtration Rate, Albuminuria, and Adverse Outcomes
Hit paper breakdown →
2023200
7
Relationship between clinic and ambulatory blood pressure and mortality: an observational cohort study in 59 124 patients
Hit paper breakdown →
2023192
8 2018192
9 2018188
10
Efficacy and safety of SGLT2 inhibitors with and without glucagon-like peptide 1 receptor agonists: a SMART-C collaborative meta-analysis of randomised controlled trials
Hit paper breakdown →
2024101
11
Sodium-Glucose Cotransporter-2 Inhibitors and Major Adverse Cardiovascular Outcomes: A SMART-C Collaborative Meta-Analysis
Hit paper breakdown →
2024100
12 201593
13
Effect of Dexamethasone in Hospitalized Patients with COVID-19 – Preliminary Report
202088
14 202287
15 201684
16 202377
17 201671
18 202068
19 202365
20 201464

About Natalie Staplin

Natalie Staplin is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Infectious Diseases, having authored 96 papers that have together received 11.8k indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (22 papers), Diabetes Treatment and Management (19 papers), Blood Pressure and Hypertension Studies (10 papers), Dialysis and Renal Disease Management (7 papers), COVID-19 Clinical Research Studies (5 papers), Potassium and Related Disorders (5 papers), Genetic Associations and Epidemiology (5 papers) and Lipoproteins and Cardiovascular Health (4 papers). The work is most often cited by research in Infectious Diseases (4.6k citations), Nephrology (1.0k citations), Neurology (2.0k citations), Critical Care and Intensive Care Medicine (470 citations) and Endocrinology, Diabetes and Metabolism (1.4k citations). Natalie Staplin has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Colin Baigent, William G. Herrington, Richard Haynes, Jonathan Emberson, Martin Landray, Parminder K. Judge, Bryan Williams, Luis Miguel Ruilope, Alejandro de la Sierra and Ernest Vinyoles. Their work appears in journals such as Nephrology Dialysis Transplantation, Clinical Journal of the American Society of Nephrology, Kidney International, Journal of the American Society of Nephrology and Hypertension.

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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