Kyle I. Mentkowski

703 total citations
10 papers, 515 citations indexed

About

Kyle I. Mentkowski is a scholar working on Molecular Biology, Surgery and Immunology. According to data from OpenAlex, Kyle I. Mentkowski has authored 10 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Surgery and 2 papers in Immunology. Recurrent topics in Kyle I. Mentkowski's work include Extracellular vesicles in disease (7 papers), Tissue Engineering and Regenerative Medicine (3 papers) and Immune cells in cancer (2 papers). Kyle I. Mentkowski is often cited by papers focused on Extracellular vesicles in disease (7 papers), Tissue Engineering and Regenerative Medicine (3 papers) and Immune cells in cancer (2 papers). Kyle I. Mentkowski collaborates with scholars based in United States. Kyle I. Mentkowski's co-authors include Jennifer K. Lang, B. Rita Alevriadou, Akshar Patel, Zhen Ma, Depeng Wang, Chi Zhou, Stelios T. Andreadis, Nika Rajabian, Jun Xia and Ruogang Zhao and has published in prestigious journals such as Circulation, Circulation Research and Scientific Reports.

In The Last Decade

Kyle I. Mentkowski

10 papers receiving 512 citations

Peers

Kyle I. Mentkowski

MB

CR

BE

CCM

SURGE

Youn Jae Jung South Korea

Chang Hee Woo South Korea

Bohao Liu United States

Giuseppe Tarantino Italy

Lavinia Ceci Ginistrelli Austria

Bradley W. Ellis United States

Kerun Niu China

Sonja Sokic United States

Taibing Fan China

Youn Jae Jung South Korea

Kyle I. Mentkowski

379 ×1.0

MB

207 ×0.9

CR

59 ×0.5

BE

27 ×0.4

CCM

50 ×0.8

SURGE

Citations per year, relative to Kyle I. Mentkowski Kyle I. Mentkowski (= 1×) peers Youn Jae Jung

Countries citing papers authored by Kyle I. Mentkowski

Since Specialization

Citations

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

Fields of papers citing papers by Kyle I. Mentkowski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyle I. Mentkowski. 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 Kyle I. Mentkowski. The network helps show where Kyle I. Mentkowski may publish in the future.

Co-authorship network of co-authors of Kyle I. Mentkowski

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

All Works

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10 of 10 papers shown

1.

Mentkowski, Kyle I., et al.. (2024). Surface engineering enhances the therapeutic potential of systemically delivered extracellular vesicles following acute myocardial infarction. The FASEB Journal. 38(18). e70070–e70070. 3 indexed citations

2.

Mentkowski, Kyle I., et al.. (2023). Abstract 15771: Cardiosphere-Derived Cell Extracellular Vesicles (CDC-EVs) Alter C-C Chemokine Receptor Type 2 (CCR2) Mediated Monocyte Pro-Inflammatory Signaling Following Cardiac Injury. Circulation. 148(Suppl_1). 1 indexed citations

3.

Sharma, Umesh C., et al.. (2021). Modified GAN Augmentation Algorithms for the MRI-Classification of Myocardial Scar Tissue in Ischemic Cardiomyopathy. Frontiers in Cardiovascular Medicine. 8. 726943–726943. 5 indexed citations

4.

Ye, Hang, Zipeng Guo, Zhaowei Chen, et al.. (2021). Fast Stereolithography Printing of Large‐Scale Biocompatible Hydrogel Models. Advanced Healthcare Materials. 10(10). e2002103–e2002103. 78 indexed citations

5.

Ye, Hang, Zipeng Guo, Zhaowei Chen, et al.. (2021). 3D Bioprinting: Fast Stereolithography Printing of Large‐Scale Biocompatible Hydrogel Models (Adv. Healthcare Mater. 10/2021). Advanced Healthcare Materials. 10(10). 1 indexed citations

6.

Mentkowski, Kyle I., et al.. (2020). Monocyte recruitment and fate specification after myocardial infarction. American Journal of Physiology-Cell Physiology. 319(5). C797–C806. 40 indexed citations

7.

Mentkowski, Kyle I., et al.. (2020). CDC-derived extracellular vesicles reprogram inflammatory macrophages to an arginase 1-dependent proangiogenic phenotype. American Journal of Physiology-Heart and Circulatory Physiology. 318(6). H1447–H1460. 30 indexed citations

8.

Mentkowski, Kyle I. & Jennifer K. Lang. (2019). Exosomes Engineered to Express a Cardiomyocyte Binding Peptide Demonstrate Improved Cardiac Retention in Vivo. Scientific Reports. 9(1). 10041–10041. 186 indexed citations

9.

Mentkowski, Kyle I., et al.. (2018). Therapeutic Potential of Engineered Extracellular Vesicles. The AAPS Journal. 20(3). 50–50. 170 indexed citations

10.

Mentkowski, Kyle I. & Jennifer K. Lang. (2018). Abstract 471: Development of a Cardiomyocyte Targeting Delivery System Utilizing Cardiosphere-Derived Cell Exosomes. Circulation Research. 123(Suppl_1). 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.

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