Edward J. Bastyr

2.6k total citations
27 papers, 1.9k citations indexed

About

Edward J. Bastyr is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Neurology. According to data from OpenAlex, Edward J. Bastyr has authored 27 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Endocrinology, Diabetes and Metabolism, 6 papers in Surgery and 6 papers in Neurology. Recurrent topics in Edward J. Bastyr's work include Diabetes Management and Research (14 papers), Diabetes Treatment and Management (13 papers) and Pain Mechanisms and Treatments (6 papers). Edward J. Bastyr is often cited by papers focused on Diabetes Management and Research (14 papers), Diabetes Treatment and Management (13 papers) and Pain Mechanisms and Treatments (6 papers). Edward J. Bastyr collaborates with scholars based in United States, France and United Kingdom. Edward J. Bastyr's co-authors include Karen Price, Vera Bril, Aaron I. Vinik, Louis Vignati, Sherwyn Schwartz, Anthony J. Zagar, Kenneth E. Robertson, CA Stuart, Robert G. Brodows and William J. Litchy and has published in prestigious journals such as Diabetes Care, Cell Metabolism and Muscle & Nerve.

In The Last Decade

Edward J. Bastyr

27 papers receiving 1.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Edward J. Bastyr United States 22 1.1k 576 438 400 360 27 1.9k
Christina Daousi United Kingdom 23 1.1k 1.0× 691 1.2× 330 0.8× 239 0.6× 350 1.0× 46 2.1k
A F Macleod United Kingdom 11 735 0.7× 721 1.3× 258 0.6× 504 1.3× 541 1.5× 22 2.1k
D.W. Erkelens Netherlands 25 1.1k 1.0× 497 0.9× 531 1.2× 382 1.0× 94 0.3× 59 2.2k
P. Raskin United States 13 789 0.8× 418 0.7× 375 0.9× 175 0.4× 209 0.6× 28 1.3k
A. Dejgaard Denmark 17 804 0.8× 325 0.6× 329 0.8× 357 0.9× 142 0.4× 46 1.6k
Ilkka Vauhkonen Finland 26 950 0.9× 464 0.8× 507 1.2× 453 1.1× 48 0.1× 42 2.4k
Hassan Heshmati United States 18 1.0k 1.0× 416 0.7× 537 1.2× 288 0.7× 102 0.3× 49 2.1k
Takahiko Kawamura Japan 20 472 0.4× 475 0.8× 153 0.3× 398 1.0× 153 0.4× 37 2.0k
Julie A. Lovshin Canada 25 1.7k 1.6× 373 0.6× 790 1.8× 672 1.7× 88 0.2× 58 2.5k
T. Kunt Germany 21 698 0.7× 346 0.6× 490 1.1× 315 0.8× 54 0.1× 39 1.5k

Countries citing papers authored by Edward J. Bastyr

Since Specialization
Citations

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

Fields of papers citing papers by Edward J. Bastyr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edward J. Bastyr

This figure shows the co-authorship network connecting the top 25 collaborators of Edward J. Bastyr. A scholar is included among the top collaborators of Edward J. Bastyr based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Edward J. Bastyr. Edward J. Bastyr is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sanyal, Arun J., Kenneth Cusi, Mark L. Hartman, et al.. (2017). Cytokeratin-18 and Enhanced Liver Fibrosis Scores in Type 1 and Type 2 Diabetes and Effects of Two Different Insulins. Journal of Investigative Medicine. 66(3). 661–668. 2 indexed citations
2.
Frías, Juan P., Edward J. Bastyr, Louis Vignati, et al.. (2017). The Sustained Effects of a Dual GIP/GLP-1 Receptor Agonist, NNC0090-2746, in Patients with Type 2 Diabetes. Cell Metabolism. 26(2). 343–352.e2. 257 indexed citations
3.
Pillai, Sreekumar, Suman Duvvuru, Pallav Bhatnagar, et al.. (2017). The PNPLA3 I148M variant is associated with transaminase elevations in type 2 diabetes patients treated with basal insulin peglispro. The Pharmacogenomics Journal. 18(3). 487–493. 13 indexed citations
4.
Bergenstal, Richard M., Helen Lunt, Edward Franek, et al.. (2016). Randomized, double‐blind clinical trial comparing basal insulin peglispro and insulin glargine, in combination with prandial insulin lispro, in patients with type 1 diabetes: IMAGINE 3. Diabetes Obesity and Metabolism. 18(11). 1081–1088. 40 indexed citations
5.
Cusi, Kenneth, Arun J. Sanyal, Byron J. Hoogwerf, et al.. (2016). Different effects of basal insulin peglispro and insulin glargine on liver enzymes and liver fat content in patients with type 1 and type 2 diabetes. Diabetes Obesity and Metabolism. 18(S2). 50–58. 31 indexed citations
6.
Ginsberg, Henry N., Bertrand Cariou, Trevor J. Orchard, et al.. (2016). Lipid changes during basal insulin peglispro, insulin glargine, or NPH treatment in six IMAGINE trials. Diabetes Obesity and Metabolism. 18(11). 1089–1092. 18 indexed citations
7.
8.
Bastyr, Edward J., et al.. (2015). Performance of an Electronic Diary System for Intensive Insulin Management in Global Diabetes Clinical Trials. Diabetes Technology & Therapeutics. 17(8). 571–579. 21 indexed citations
9.
Bergenstal, Richard M., Julio Rosenstock, Edward J. Bastyr, et al.. (2013). Lower Glucose Variability and Hypoglycemia Measured by Continuous Glucose Monitoring With Novel Long-Acting Insulin LY2605541 Versus Insulin Glargine. Diabetes Care. 37(3). 659–665. 24 indexed citations
10.
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12.
Rubino, Annalisa, et al.. (2007). Diagnosis of diabetic peripheral neuropathy among patients with type 1 and type 2 diabetes in France, Italy, Spain, and the United Kingdom. Primary care diabetes. 1(3). 129–134. 28 indexed citations
13.
Dyck, P. James B., Jane E. Norell, Hans Tritschler, et al.. (2007). Challenges in Design of Multicenter Trials. Diabetes Care. 30(10). 2619–2625. 92 indexed citations
14.
Bastyr, Edward J., Karen Price, & Vera Bril. (2005). Development and validity testing of the neuropathy total symptom score-6: Questionnaire for the study of sensory symptoms of diabetic peripheral neuropathy. Clinical Therapeutics. 27(8). 1278–1294. 158 indexed citations
15.
Vinik, Aaron I., et al.. (2005). Sural sensory action potential identifies diabetic peripheral neuropathy responders to therapy. Muscle & Nerve. 32(5). 619–625. 45 indexed citations
16.
Vinik, Etta J., et al.. (2005). The Development and Validation of the Norfolk QOL-DN, a New Measure of Patients' Perception of the Effects of Diabetes and Diabetic Neuropathy. Diabetes Technology & Therapeutics. 7(3). 497–508. 159 indexed citations
17.
18.
Bastyr, Edward J., Yijian Huang, Rocco L. Brunelle, et al.. (2000). Factors associated with nocturnal hypoglycaemia among patients with type 2 diabetes new to insulin therapy: experience with insulin lispro. Diabetes Obesity and Metabolism. 2(1). 39–46. 23 indexed citations
19.
Bastyr, Edward J., Martin Johnson, Michael Trautmann, James H. Anderson, & Louis Vignati. (1999). Insulin lispro in the treatment of patients with type 2 diabetes mellitus after oral agent failure. Clinical Therapeutics. 21(10). 1703–1714. 43 indexed citations
20.

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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