J. P. Burke

17.1k total citations · 1 hit paper
100 papers, 5.6k citations indexed

About

J. P. Burke is a scholar working on Atomic and Molecular Physics, and Optics, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, J. P. Burke has authored 100 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Atomic and Molecular Physics, and Optics, 15 papers in Endocrinology, Diabetes and Metabolism and 14 papers in Molecular Biology. Recurrent topics in J. P. Burke's work include Cold Atom Physics and Bose-Einstein Condensates (20 papers), Quantum, superfluid, helium dynamics (13 papers) and Atomic and Subatomic Physics Research (12 papers). J. P. Burke is often cited by papers focused on Cold Atom Physics and Bose-Einstein Condensates (20 papers), Quantum, superfluid, helium dynamics (13 papers) and Atomic and Subatomic Physics Research (12 papers). J. P. Burke collaborates with scholars based in United States, Belarus and Australia. J. P. Burke's co-authors include Chris H. Greene, B. D. Esry, John L. Bohn, Steven M. Haffner, Michael P. Stern, Nancy N. Diehl, David O. Hodge, Jacob Roberts, N. R. Claussen and Andreas Festa and has published in prestigious journals such as Physical Review Letters, Journal of Biological Chemistry and Circulation.

In The Last Decade

J. P. Burke

99 papers receiving 5.3k citations

Hit Papers

Resonant Magnetic Field Control of Elastic Scattering in ... 1998 2026 2007 2016 1998 100 200 300 400

Peers

J. P. Burke
S. Tanaka Japan
Andrew R. Harvey United Kingdom
Zvi Friedman United States
Peter Würtz Finland
C. T. Dollery United Kingdom
Edwin J.R. van Beek United Kingdom
Jerrold S. Levine United States
S. Tanaka Japan
J. P. Burke
Citations per year, relative to J. P. Burke J. P. Burke (= 1×) peers S. Tanaka

Countries citing papers authored by J. P. Burke

Since Specialization
Citations

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

Fields of papers citing papers by J. P. Burke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. P. Burke

This figure shows the co-authorship network connecting the top 25 collaborators of J. P. Burke. A scholar is included among the top collaborators of J. P. Burke 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 J. P. Burke. J. P. Burke 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.
Burke, J. P., et al.. (2023). Descriptive, real-world treatment patterns, resource use, and total cost of care among eculizumab- and ravulizumab-treated members with paroxysmal nocturnal hemoglobinuria. Journal of Managed Care & Specialty Pharmacy. 29(8). 941–951. 2 indexed citations
2.
Thompson, Steven, Stephen A. Varvel, Maciek Sasinowski, & J. P. Burke. (2016). From Value Assessment to Value Cocreation: Informing Clinical Decision-Making with Medical Claims Data. Big Data. 4(3). 141–147. 7 indexed citations
3.
Burke, J. P., Ross J. Simpson, Carly J. Paoli, Jeffrey McPheeters, & Shravanthi R. Gandra. (2016). Longitudinal treatment patterns among US patients with atherosclerotic cardiovascular disease or familial hypercholesterolemia initiating lipid-lowering pharmacotherapy. Journal of clinical lipidology. 10(6). 1470–1480.e3. 5 indexed citations
4.
Burke, J. P., Robert J. Sanchez, Ashish V. Joshi, et al.. (2011). Health Care Costs in Patients with Painful Diabetic Peripheral Neuropathy Prescribed Pregabalin or Duloxetine. Pain Practice. 12(3). 209–218. 7 indexed citations
5.
Kitzmann, Anna S., José S. Pulido, Nancy N. Diehl, David O. Hodge, & J. P. Burke. (2008). The Incidence of Central Serous Chorioretinopathy in Olmsted County, Minnesota, 1980–2002. Ophthalmology. 115(1). 169–173. 329 indexed citations
6.
Hodge, David O., et al.. (2007). The Risk of Glaucoma in Pseudoexfoliation Syndrome. Journal of Glaucoma. 16(1). 117–121. 77 indexed citations
7.
Mohney, Brian G., et al.. (2006). Incidence and Types of Childhood Esotropia. Ophthalmology. 114(1). 170–174. 124 indexed citations
8.
Burke, J. P., Debra J. Jacobson, Michaela E. McGree, et al.. (2006). Diabetes and benign prostatic hyperplasia progression in Olmsted County, Minnesota. Urology. 67(1). 22–25. 41 indexed citations
9.
Carvounis, Petros, David C. Herman, Stephen Cha, & J. P. Burke. (2005). Incidence and outcomes of uveitis in juvenile rheumatoid arthritis, a synthesis of the literature. Graefe s Archive for Clinical and Experimental Ophthalmology. 244(3). 281–290. 100 indexed citations
10.
Heit, John A., Tanya M. Petterson, Whyte G. Owen, et al.. (2005). Thrombomodulin gene polymorphisms or haplotypes as potential risk factors for venous thromboembolism: a population‐based case–control study. Journal of Thrombosis and Haemostasis. 3(4). 710–717. 38 indexed citations
11.
Sohni, Youvraj R., J. P. Burke, P. James B. Dyck, & Dennis J. O’Kane. (2003). Microfluidic chip-based method for genotyping microsatellites, VNTRs and insertion/deletion polymorphisms. Clinical Biochemistry. 36(1). 35–40. 13 indexed citations
12.
Burke, J. P.. (2002). Impact of Case Ascertainment on Recent Trends in Diabetes Incidence in Rochester, Minnesota. American Journal of Epidemiology. 155(9). 859–865. 21 indexed citations
13.
Dorman, Janice S., J. P. Burke, Bridget J. McCarthy, et al.. (1999). Temporal Trends in Spontaneous Abortion Associated With Type 1 Diabetes. Obstetrical & Gynecological Survey. 54(10). 616–618. 1 indexed citations
14.
Dorman, Janice S., J. P. Burke, Bridget J. McCarthy, et al.. (1999). Temporal trends in spontaneous abortion associated with Type 1 diabetes. Diabetes Research and Clinical Practice. 43(1). 41–47. 17 indexed citations
15.
Burke, J. P., Ken Williams, Sharon P. Gaskill, et al.. (1999). Rapid Rise in the Incidence of Type 2 Diabetes From 1987 to 1996. Archives of Internal Medicine. 159(13). 1450–1450. 238 indexed citations
16.
Wahlig, John B., Mark R. McLaughlin, J. P. Burke, & Donald W. Marion. (1999). The Role of Xenon-Enhanced Computed Tomography in the Management of a Traumatic Carotid-Cavernous Fistula. PubMed. 46(1). 181–185. 3 indexed citations
17.
Burke, J. P., John L. Bohn, B. D. Esry, & Chris H. Greene. (1997). Impact of the ^87Rb singlet scattering length on suppressing inelastic collisions. APS. 1 indexed citations
18.
Fong, Dunne, J. P. Burke, & Marion Man-Ying Chan. (1997). Nonradioactive, Agarose Minigel Procedure for Telomeric Repeat Amplification Protocol. BioTechniques. 23(6). 1029–1032. 6 indexed citations
19.
Burke, J. P., et al.. (1993). Polyunsaturated fatty acid supplementation in peripheral neuropathy. Journal of the American Podiatric Medical Association. 83(8). 457–461. 1 indexed citations
20.
Ibrahim, Nader G., J. P. Burke, & Diana S. Beattie. (1973). Mitochondrial protein synthesis in vitro is not an artifact. FEBS Letters. 29(1). 73–76. 29 indexed citations

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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