Edward Tuttle

26 papers receiving 711 citations

Peers

Edward Tuttle
Comparison fields: 5 of 97
  • Family Practice 39
  • Endocrinology, Diabetes and Metabolism 273
  • Cardiology and Cardiovascular Medicine 186
  • Management of Technology and Innovation 32
  • Economics and Econometrics 112
Replace Nilesh J. Samani with:
Nilesh J. Samani United Kingdom
Elisa Bianchini Italy
Sohyun Jeong United States
Annemarie M.J. Wassink Netherlands
Andrew T. McAfee United States
Jeanne M. Dobrzynski United States
D Schröder-Bernhardi Germany
Bernard MY Cheung Hong Kong
Haipeng Wang China
Valeria Frighi United Kingdom
Edward Tuttle relative to Nilesh J. Samani United Kingdom Nilesh J. Samani's profile →
Citations per field
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Nilesh J. Samani · 1×
Citations per year

Countries citing papers authored by Edward Tuttle

Since Specialization
Citations

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

Fields of papers citing papers by Edward Tuttle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017166
2 2017125
3 2005102
4
Prevalence, referral patterns, testing, and surgery in aortic valve disease: leaving women and elderly patients behind?
200779
5 200777
6 201727
7 202126
8 201722
9 202119
10 201715
11 202213
12 202212
13 202411
14 20198
15 20207
16 20217
17 20165
18 20154
19 20234
20 20244

About Edward Tuttle

Edward Tuttle is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Biomedical Engineering, Pediatrics, Perinatology and Child Health and Oncology, having authored 28 papers that have together received 743 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (6 papers), Nuclear Structure and Function (5 papers), Diabetes Treatment and Management (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Pharmacological Effects and Toxicity Studies (2 papers), Infective Endocarditis Diagnosis and Management (2 papers), Vitamin D Research Studies (2 papers) and Cardiomyopathy and Myosin Studies (2 papers). The work is most often cited by research in Family Practice (39 citations), Endocrinology, Diabetes and Metabolism (273 citations), Cardiology and Cardiovascular Medicine (186 citations), Management of Technology and Innovation (32 citations) and Economics and Econometrics (112 citations). Edward Tuttle has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Ginger Smith Carls, Steven V. Edelman, John Yee, Howard G. Birnbaum, William H. Polonsky, David S. Bach, Andrée-Anne Fournier, Jeremy N. Ruskin, Ernst R. Berndt and Eric Q. Wu. Their work appears in journals such as Current Medical Research and Opinion, Muscle & Nerve, Health Affairs, PharmacoEconomics and Diabetes.

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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