Matthew E. Wintle

2.0k citations
19 papers · 1.7k · 1 hit paper · h-index 13

Impact in

Papers in

Matthew E. Wintle

19 papers receiving 1.6k citations

Matthew E. Wintle's Hit Papers

Exenatide effects on diabetes, obesity, cardiovascular risk factors and hepatic biomarkers in patients with type 2 diabetes treated for at least 3 years 2007 · 620 citations
6200+6+12Years since publication200400600

Peers

Matthew E. Wintle
Comparison fields: 5 of 79
  • Endocrinology, Diabetes and Metabolism 1.4k
  • Pharmacology 240
  • Surgery 433
  • Family Practice 13
  • Endocrine and Autonomic Systems 42
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Citations per year

Countries citing papers authored by Matthew E. Wintle

Since Specialization
Citations

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

Fields of papers citing papers by Matthew E. Wintle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew E. Wintle. 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 Matthew E. Wintle. The network helps show where Matthew E. Wintle may publish in the future.

Co-authors

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

All Works

19 of 19 papers shown
#Work
1
Exenatide effects on diabetes, obesity, cardiovascular risk factors and hepatic biomarkers in patients with type 2 diabetes treated for at least 3 years
Hit paper breakdown →
2007620
2 2007242
3 2008205
4 2010188
5 200584
6 200573
7 200962
8 200760
9 200448
10 200737
11 200735
12 200930
13 200622
14 20148
15 20114
16 20064
17 20092
18 20092
19 20081

About Matthew E. Wintle

Matthew E. Wintle is a scholar working on Endocrinology, Diabetes and Metabolism, Pharmacology, Physiology, Genetics and Cardiology and Cardiovascular Medicine, having authored 19 papers that have together received 1.7k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (14 papers), Diabetes Management and Research (4 papers), Pharmacology and Obesity Treatment (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Diabetes and associated disorders (2 papers), Diet and metabolism studies (2 papers), Cardiovascular Function and Risk Factors (1 paper) and Adipose Tissue and Metabolism (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.4k citations), Pharmacology (240 citations), Surgery (433 citations), Family Practice (13 citations) and Endocrine and Autonomic Systems (42 citations). Matthew E. Wintle has collaborated with scholars based in United States and Germany. Frequent co-authors include Loretta L. Nielsen, Xuesong Guan, John B. Buse, David G. Maggs, John H. Holcombe, Christopher L. Bowlus, David Charles Klonoff, Jennifer Han, Anthony H. Stonehouse and Mark S. Fineman. Their work appears in journals such as Current Medical Research and Opinion, Value in Health, Diabetes Obesity and Metabolism, Clinical Therapeutics and Diabetologia.

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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