Michael DeLay

1.8k citations
16 papers · 1.5k · h-index 12

Impact in

Papers in

    • Ion channel regulation and function 3
    • Mitochondrial Function and Pathology 2
    • Muscle activation and electromyography studies 4
    • Microfluidic and Bio-sensing Technologies 2

Michael DeLay

16 papers receiving 1.4k citations

Peers

Michael DeLay
Comparison fields: 5 of 116
  • Cancer Research 295
  • Genetics 156
  • Cellular and Molecular Neuroscience 221
  • Molecular Biology 823
  • Physiology 54
Replace Wuqiang Zhu with:
Wuqiang Zhu United States
Louis A. Peña United States
Youjin Lee United States
Yasuo Yanagi Japan
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Xiaohan Zhang China
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Giovanna Peruzzi Italy
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Citations per field
00.5×1.5×
Wuqiang Zhu · 1×
Citations per year

Countries citing papers authored by Michael DeLay

Since Specialization
Citations

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

Fields of papers citing papers by Michael DeLay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2012387
2 1985277
3 2015219
4 2012159
5 2013139
6 201295
7 198955
8 198636
9 201332
10 199026
11 198622
12 202312
13
A chemical link in excitation-contraction coupling in skeletal muscle.
19877
14 19856
15 20221
16 20171

About Michael DeLay

Michael DeLay is a scholar working on Molecular Biology, Biomedical Engineering, Cellular and Molecular Neuroscience, Genetics and Cardiology and Cardiovascular Medicine, having authored 16 papers that have together received 1.5k indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (4 papers), Neuroscience and Neural Engineering (3 papers), Ion channel regulation and function (3 papers), Cardiomyopathy and Myosin Studies (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Microfluidic and Bio-sensing Technologies (2 papers), Analytical Chemistry and Sensors (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Cancer Research (295 citations), Genetics (156 citations), Cellular and Molecular Neuroscience (221 citations), Molecular Biology (823 citations) and Physiology (54 citations). Michael DeLay has collaborated with scholars based in United States, Spain and Chile. Frequent co-authors include Arman Jahangiri, Manish K. Aghi, J Vergara, Yulong Hu, W. Shawn Carbonell, R Y Tsien, Annette M. Molinaro, Samuel D. Rose, Özgür Şahin and Ahmet-Hamdi Cavusoglu. Their work appears in journals such as Cancer Research, The Journal of Physiology, Nature, Clinical Cancer Research and PLoS ONE.

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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