Brian Sakurada

524 citations
12 papers · 395 indexed · h-index 9
Topics
Diabetes Management and Research (9 papers)Diabetes Treatment and Management (8 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers)
Partner nations
United States

In The Last Decade

Brian Sakurada

12 papers receiving 388 citations

Peers

Brian Sakurada
Comparison fields: 5 of 76
  • Endocrinology, Diabetes and Metabolism 193
  • Surgery 74
  • Epidemiology 68
  • Physiology 65
  • Molecular Biology 54
Replace Janine Bauman with:
Janine Bauman United States
Fulya Türker Türkiye
Selda Gedik Türkiye
Kazuya Fujihara Japan
Anna Dunnigan United Kingdom
José Mancera‐Romero Spain
Ted Wu Australia
Sara Artola Spain
Todd Hobbs United States
Brian Sakurada relative to Janine Bauman United States Janine Bauman's profile →
Citations per field
00.5×1.5×
Janine Bauman · 1×
Citations per year

Countries citing papers authored by Brian Sakurada

Since Specialization
Citations

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

Fields of papers citing papers by Brian Sakurada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Sakurada

This figure shows the co-authorship network connecting the top 25 collaborators of Brian Sakurada. A scholar is included among the top collaborators of Brian Sakurada 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 Brian Sakurada. Brian Sakurada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1
Estimating the Real-World Cost of Diabetes Mellitus in the United States During an 8-Year Period Using 2 Cost Methodologies.
17
2
Understanding and improving value frameworks with real-world patient outcomes.
1
3 156
4 26
5 19
6 2
7 27
8 8
9 3
10 18
11 14
12 104

About Brian Sakurada

Brian Sakurada is a scholar working on Endocrinology, Diabetes and Metabolism, Pharmacy and Epidemiology, having authored 12 papers that have together received 395 indexed citations. Recurring topics across this work include Diabetes Management and Research (9 papers), Diabetes Treatment and Management (8 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (193 citations), Pharmacy (47 citations) and Family Practice (13 citations). Brian Sakurada has collaborated with scholars based in United States. Frequent co-authors include Todd Hobbs, Sheldon X. Kong, Jonathan Bouchard, Wayne Weng, Brian J. Wells, Alex Milinovich, Kevin M. Pantalone, Robert S. Zimmerman, Janine Bauman and Michael W. Kattan. Their work appears in journals such as BMJ Open, Diabetes Obesity and Metabolism and Diabetes Research and Clinical Practice.

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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