Wayne Shaw

11.7k citations
36 papers · 8.3k indexed · 4 hit papers · h-index 24

Wayne Shaw

34 papers receiving 8.1k citations

Hit Papers

Canagliflozin and renal outcomes in type 2 diabetes: resu...468201720262020202310002.0k3.0k4.0k5.0k

Peers

Wayne Shaw
Comparison fields: 5 of 117
  • Endocrinology, Diabetes and Metabolism 7.0k
  • Nephrology 926
  • Cardiology and Cardiovascular Medicine 1.9k
  • Surgery 3.0k
  • Pharmacology 861
Replace Mehul Desai with:
Mehul Desai United States
Avivit Cahn Israel
Hans J. Woerle Germany
Eri Kato Japan
Thomas A. Zelniker United States
Julia Kuder United States
Michael G. Silverman United States
Steven P. Marso United States
Stefan Hantel Germany
Michaela Mattheus Germany
Wayne Shaw relative to Mehul Desai United States Mehul Desai's profile →
Citations per field
00.5×1.5×
Mehul Desai · 1×
Citations per year

Countries citing papers authored by Wayne Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Wayne Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 202227
4 202023
5 202053
6 20190
7 2019109
8
Canagliflozin and renal outcomes in type 2 diabetes: results from the CANVAS Program randomised clinical trialsbreakdown →
2018468
9 201853
10
Canagliflozin for Primary and Secondary Prevention of Cardiovascular Eventsbreakdown →
2017375
11
Canagliflozin and Cardiovascular and Renal Events in Type 2 Diabetesbreakdown →
20175379
12 201612
13 201534
14 201473
15 2013278
16 200724
17 2002103
18 200139
19 19929
20 198811

About Wayne Shaw

Wayne Shaw is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Family Practice, having authored 36 papers that have together received 8.3k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (28 papers), Pancreatic function and diabetes (17 papers), Diabetes Management and Research (12 papers), Heart Failure Treatment and Management (5 papers), Blood Pressure and Hypertension Studies (4 papers), Bipolar Disorder and Treatment (3 papers), Potassium and Related Disorders (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (7.0k citations), Nephrology (926 citations) and Cardiology and Cardiovascular Medicine (1.9k citations). Wayne Shaw has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Kenneth W. Mahaffey, Bruce Neal, Vlado Perkovic, Dick de Zeeuw, David R. Matthews, Greg Fulcher, Mehul Desai, Ngozi Erondu, Gordon Law and Terrance D. Barrett. Their work appears in journals such as Diabetes Obesity and Metabolism, Diabetes Care, Journal of the American College of Cardiology, Circulation and The Journal of Finance.

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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