Michael McKenna

548 total citations
9 papers, 297 citations indexed

About

Michael McKenna is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Michael McKenna has authored 9 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Cardiology and Cardiovascular Medicine and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Michael McKenna's work include Glycosylation and Glycoproteins Research (2 papers), Cardiac Valve Diseases and Treatments (2 papers) and Antioxidant Activity and Oxidative Stress (1 paper). Michael McKenna is often cited by papers focused on Glycosylation and Glycoproteins Research (2 papers), Cardiac Valve Diseases and Treatments (2 papers) and Antioxidant Activity and Oxidative Stress (1 paper). Michael McKenna collaborates with scholars based in United Kingdom, United States and Japan. Michael McKenna's co-authors include Oleg V. Gerasimenko, Marshall H. Montrose, Alastair J.M. Watson, Tracy L. Rose, Shaoyou Chu, Fiona Campbell, Craig T. Woodard, Patrizia Del Monte, John R. Carlson and Stephen L. Helfand and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Gastroenterology and Biochemistry.

In The Last Decade

Michael McKenna

9 papers receiving 293 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael McKenna United Kingdom	6	97	72	69	53	53	9	297
Carolina Natalia Zanuzzi Argentina	10	87 0.9×	43 0.6×	24 0.3×	41 0.8×	79 1.5×	39	342
Jennifer N. Clarke Australia	12	158 1.6×	29 0.4×	57 0.8×	71 1.3×	119 2.2×	13	426
Yung‐Hao Ching Taiwan	9	355 3.7×	32 0.4×	86 1.2×	33 0.6×	42 0.8×	18	479
Hana Jáňová United States	11	84 0.9×	25 0.3×	44 0.6×	33 0.6×	135 2.5×	14	398
Guimei Li China	12	321 3.3×	17 0.2×	43 0.6×	26 0.5×	33 0.6×	37	488
Zimei Ni China	10	129 1.3×	51 0.7×	79 1.1×	28 0.5×	43 0.8×	12	316
Taylor Hailstock United States	2	180 1.9×	14 0.2×	89 1.3×	72 1.4×	52 1.0×	4	418
Toshihiro Mihara Japan	10	206 2.1×	9 0.1×	43 0.6×	33 0.6×	41 0.8×	15	381
Crescent L. Combe United States	8	57 0.6×	46 0.6×	23 0.3×	38 0.7×	119 2.2×	9	303
Arturo Raya‐Sandino Mexico	10	145 1.5×	9 0.1×	28 0.4×	17 0.3×	41 0.8×	18	376

Countries citing papers authored by Michael McKenna

Since Specialization

Citations

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

Fields of papers citing papers by Michael McKenna

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael McKenna

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

All Works

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9 of 9 papers shown

Tufaro, Vincenzo, Ryo Torii, Jean‐Paul Aben, et al.. (2024). Can fast wall shear stress computation predict adverse cardiac events in patients with intermediate non-flow limiting stenoses?. Atherosclerosis. 401. 119099–119099. 2 indexed citations

Li, Yirui, et al.. (2023). Rational design of elastin-like polypeptide fusion proteins to tune self-assembly and properties of protein vesicles. Journal of Materials Chemistry B. 11(27). 6443–6452. 13 indexed citations

Patel, Kush, Michael McKenna, George Thornton, et al.. (2023). Predictors of outcome in patients with moderate mixed aortic valve disease. Heart. 110(10). 740–748. 6 indexed citations

McKenna, Michael, et al.. (2020). Rosetta-Enabled Structural Prediction of Permissive Loop Insertion Sites in Proteins. Biochemistry. 59(41). 3993–4002. 3 indexed citations

Fitzpatrick, David, et al.. (2018). Critcomms: a national cross-sectional questionnaire based study to investigate prehospital handover practices between ambulance clinicians and specialist prehospital teams in Scotland. Scandinavian Journal of Trauma Resuscitation and Emergency Medicine. 26(1). 45–45. 19 indexed citations

Reed, Suzanne, Tai M. Lockspeiser, Ann E. Burke, et al.. (2015). Practical Suggestions for the Creation and Use of Meaningful Learning Goals in Graduate Medical Education. Academic Pediatrics. 16(1). 20–24. 13 indexed citations

Fitzpatrick, David, et al.. (2014). Improving the management and care of people with sepsis. Emergency Nurse. 22(1). 18–24. 2 indexed citations

Watson, Alastair J.M., Shaoyou Chu, Oleg V. Gerasimenko, et al.. (2005). Epithelial Barrier Function In Vivo Is Sustained Despite Gaps in Epithelial Layers. Gastroenterology. 129(3). 902–912. 162 indexed citations

McKenna, Michael, Patrizia Del Monte, Stephen L. Helfand, Craig T. Woodard, & John R. Carlson. (1989). A simple chemosensory response in Drosophila and the isolation of acj mutants in which it is affected.. Proceedings of the National Academy of Sciences. 86(20). 8118–8122. 77 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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