Megan L. McCain

5.1k citations
57 papers · 3.3k indexed · 1 hit paper · h-index 25

Megan L. McCain

57 papers receiving 3.2k citations

Hit Papers

A tissue-engineered jellyfish with biomimetic propulsion5172012202620162021100200300400500

Peers

Megan L. McCain
Comparison fields: 5 of 135
  • Biomedical Engineering 2.0k
  • Cellular and Molecular Neuroscience 639
  • Biomaterials 440
  • Cell Biology 423
  • Cardiology and Cardiovascular Medicine 490
Replace Sean P. Sheehy with:
Sean P. Sheehy United States
Anna Grosberg United States
Nathan J. Sniadecki United States
Benjamin D. Matthews United States
William J. Polacheck United States
Tatsuya Shimizu Japan
Peter Loskill Germany
Patrick Campbell United States
Peter A. Galie United States
Patrick W. Alford United States
Megan L. McCain relative to Sean P. Sheehy United States Sean P. Sheehy's profile →
Citations per field
00.5×1.5×
Sean P. Sheehy · 1×
Citations per year

Countries citing papers authored by Megan L. McCain

Since Specialization
Citations

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

Fields of papers citing papers by Megan L. McCain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Megan L. McCain. 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 Megan L. McCain. The network helps show where Megan L. McCain may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Megan L. McCain, 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 Megan L. McCain Line = papers co-authored together Megan L. McCain links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20253
2 20241
3 20241
4 20241
5 20244
6 20232
7 20232
8 20231
9 20227
10 20225
11 202010
12 201912
13 201743
14 20143
15 2014181
16 2013105
17 2013375
18
A tissue-engineered jellyfish with biomimetic propulsionbreakdown →
2012517
19 2011170
20 200762

About Megan L. McCain

Megan L. McCain is a scholar working on Cell Biology, Cardiology and Cardiovascular Medicine and Biomaterials, having authored 57 papers that have together received 3.3k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (24 papers), Tissue Engineering and Regenerative Medicine (17 papers), Muscle Physiology and Disorders (10 papers), Cellular Mechanics and Interactions (10 papers), Neuroscience and Neural Engineering (10 papers), Electrospun Nanofibers in Biomedical Applications (9 papers), Cardiac electrophysiology and arrhythmias (8 papers) and Cardiomyopathy and Myosin Studies (4 papers). The work is most often cited by research in Biomedical Engineering (2.0k citations), Cellular and Molecular Neuroscience (639 citations) and Biomaterials (440 citations). Megan L. McCain has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Kevin Kit Parker, Anna Grosberg, Ashutosh Agarwal, Josue A. Goss, Patrick W. Alford, Alexander P. Nesmith, Hyungsuk Lee, Alexander Cho, Adam W. Feinberg and John O. Dabiri. Their work appears in journals such as Lab on a Chip, Experimental Biology and Medicine, American Journal of Physiology-Heart and Circulatory Physiology, APL Bioengineering and Proceedings of the National Academy of Sciences.

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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