Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Flipped classroom model improves graduate student performance in cardiovascular, respiratory, and renal physiology
2013453 citationsJohnathan D. Tune, Michael Sturek et al.profile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
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Countries citing papers authored by Michael Sturek
Since
Specialization
Citations
This map shows the geographic impact of Michael Sturek'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 Michael Sturek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Sturek more than expected).
This network shows the impact of papers produced by Michael Sturek. 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 Michael Sturek. The network helps show where Michael Sturek may publish in the future.
Co-authorship network of co-authors of Michael Sturek
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Sturek.
A scholar is included among the top collaborators of Michael Sturek 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 Michael Sturek. Michael Sturek is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Cao, Yingchun, Jie Hui, Ayeeshik Kole, et al.. (2016). High-sensitivity intravascular photoacoustic imaging of lipid-laden plaque with a collinear catheter design. PMC.2 indexed citations
10.
Liang, Tiebing, Mouhamad Alloosh, Lauren N. Bell, et al.. (2015). Liver injury and fibrosis induced by dietary challenge in the Ossabaw miniature Swine. Purdue e-Pubs (Purdue University System).3 indexed citations
11.
Lü, Ying, Zhaohui Wang, Tonglei Li, et al.. (2014). Development and Evaluation of Transferrin-Stabilized Paclitaxel Nanocrystal Formulation. PMC.2 indexed citations
12.
Owen, Meredith K., Wennan Li, Xingjuan Chen, et al.. (2014). Mechanisms underlying capsaicin effects in canine coronary artery: implications for coronary spasm. PMC.1 indexed citations
13.
Lü, Ying, Michael Sturek, & Kinam Park. (2014). Microparticles Produced by the Hydrogel Template Method for Sustained Drug Delivery. PMC.3 indexed citations
14.
Wang, Pu, Teng Ma, Mikhail N. Slipchenko, et al.. (2014). High-speed intravascular photoacoustic imaging of lipid-laden atherosclerotic plaque enabled by a 2-kHz barium nitrite raman laser. eScholarship (California Digital Library).2 indexed citations
Martin, Berdine R., Meryl E. Wastney, George S. Jackson, et al.. (2013). Abstract 15459: Calcium Intake and Source Effects on Soft Tissue Calcification in Ossabaw Miniature Swine. Circulation. 128.1 indexed citations
17.
Wang, Exing, Ruben M. Sandoval, Barrak M. Pressler, et al.. (2012). A portable fiberoptic ratiometric fluorescence analyzer provides rapid point-of-care determination of glomerular filtration rate in large animals. PMC.
18.
Borbouse, Léna, Ian N. Bratz, Ü. Deniz Dinçer, et al.. (2007). Abstract 1139: BKCa Channel-Mediated Coronary Vasodilation is Significantly Impaired in Obese Ossabaw Swine with the Metabolic Syndrome. Circulation. 116.1 indexed citations
Weisman, Gary A., Richard C. Garrad, Laurie Erb, et al.. (1998). Molecular mechanisms of endothelium-dependent vasodilation via P2Y nucleotide receptors. Journal of Molecular and Cellular Cardiology. 30(6). 190.1 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.