Michael C. McCormack

27 papers receiving 963 citations

Peers

Michael C. McCormack
Comparison fields: 5 of 111
  • Genetics 200
  • Rehabilitation 109
  • Developmental Neuroscience 65
  • Surgery 403
  • Endocrinology, Diabetes and Metabolism 122
Replace Margaret L. Novak with:
Margaret L. Novak United States
Hüseyin Üstün Türkiye
Christoph Wallner Germany
Y Imai Japan
Scott Visovatti United States
Sandra Zecchi Orlandini Italy
Zhiyong Sheng China
Luc Härter Switzerland
Marcus Wagstaff Australia
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Citations per field
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Citations per year

Countries citing papers authored by Michael C. McCormack

Since Specialization
Citations

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

Fields of papers citing papers by Michael C. McCormack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael C. McCormack, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael C. McCormack Line = papers co-authored together Michael C. McCormack links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008291
2 201388
3 200666
4 200662
5 200756
6 201556
7 201455
8 201255
9 201035
10 201127
11 200825
12 201322
13 200821
14 200921
15 201320
16 201614
17 200914
18 201614
19 201610
20 20179

About Michael C. McCormack

Michael C. McCormack is a scholar working on Surgery, Pathology and Forensic Medicine, Genetics, Dermatology and Developmental Neuroscience, having authored 27 papers that have together received 983 indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (6 papers), Mesenchymal stem cell research (4 papers), Anesthesia and Neurotoxicity Research (4 papers), Cardiac and Coronary Surgery Techniques (4 papers), Dermatologic Treatments and Research (3 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), Coronary Interventions and Diagnostics (3 papers) and Wound Healing and Treatments (3 papers). The work is most often cited by research in Genetics (200 citations), Rehabilitation (109 citations), Developmental Neuroscience (65 citations), Surgery (403 citations) and Endocrinology, Diabetes and Metabolism (122 citations). Michael C. McCormack has collaborated with scholars based in United States, China and Israel. Frequent co-authors include William G. Austen, Mark A. Randolph, Kyle R. Eberlin, John C. Kirkham, Hamit Soner Tatlıdede, Jeffrey H. Lee, John Nguyen, Michael T. Watkins, H. Shaw Warren and Sonoko Narisawa. Their work appears in journals such as Plastic & Reconstructive Surgery, Journal of Surgical Research, SAE technical papers on CD-ROM/SAE technical paper series, The Journal of Immunology and Biotechnology and Bioengineering.

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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