Michael D. Miyamoto

776 total citations
25 papers, 677 citations indexed

About

Michael D. Miyamoto is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, Michael D. Miyamoto has authored 25 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 13 papers in Cellular and Molecular Neuroscience and 5 papers in Biomedical Engineering. Recurrent topics in Michael D. Miyamoto's work include Ion channel regulation and function (11 papers), Neuroscience and Neural Engineering (8 papers) and Lipid Membrane Structure and Behavior (6 papers). Michael D. Miyamoto is often cited by papers focused on Ion channel regulation and function (11 papers), Neuroscience and Neural Engineering (8 papers) and Lipid Membrane Structure and Behavior (6 papers). Michael D. Miyamoto collaborates with scholars based in United States and Romania. Michael D. Miyamoto's co-authors include Bruce McL. Breckenridge, Eugen Brailoiu, Robert L. Volle, Nae J. Dun, J. I. Hubbard, David F. Wilson, Dumitru Brănișteanu, G. Cristina Brailoiu, Hong Chen and Anca Margineanu and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Journal of Physiology.

In The Last Decade

Michael D. Miyamoto

24 papers receiving 607 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael D. Miyamoto United States 12 403 396 88 86 62 25 677
I Zimányi United States 17 785 1.9× 628 1.6× 100 1.1× 54 0.6× 27 0.4× 31 1.1k
Danhui Zhang United States 18 570 1.4× 463 1.2× 22 0.3× 59 0.7× 103 1.7× 29 1.0k
Tomasz Boczek Poland 17 453 1.1× 255 0.6× 30 0.3× 41 0.5× 106 1.7× 53 777
Chris Prior United Kingdom 15 569 1.4× 426 1.1× 25 0.3× 111 1.3× 95 1.5× 33 724
Vladislav Snitsarev United States 14 338 0.8× 212 0.5× 25 0.3× 77 0.9× 9 0.1× 22 632
Åke Sellström Sweden 15 405 1.0× 554 1.4× 7 0.1× 63 0.7× 41 0.7× 44 817
Gabriel Zimmerman Israel 15 314 0.8× 173 0.4× 21 0.2× 35 0.4× 186 3.0× 21 732
Min Jia China 12 296 0.7× 107 0.3× 13 0.1× 38 0.4× 59 1.0× 24 531
Halina Meiri Israel 14 304 0.8× 349 0.9× 9 0.1× 70 0.8× 20 0.3× 27 634
Sana Al Awabdh France 10 317 0.8× 274 0.7× 14 0.2× 64 0.7× 27 0.4× 11 556

Countries citing papers authored by Michael D. Miyamoto

Since Specialization
Citations

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

Fields of papers citing papers by Michael D. Miyamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael D. Miyamoto

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

All Works

20 of 20 papers shown
1.
Brailoiu, Eugen, G. Cristina Brailoiu, Michael D. Miyamoto, & Nae J. Dun. (2003). The vasoactive peptide urotensin II stimulates spontaneous release from frog motor nerve terminals. British Journal of Pharmacology. 138(8). 1580–1588. 22 indexed citations
2.
Brailoiu, Eugen, Michael D. Miyamoto, & Nae J. Dun. (2003). Inositol derivatives modulate spontaneous transmitter release at the frog neuromuscular junction. Neuropharmacology. 45(5). 691–701. 6 indexed citations
3.
Brailoiu, Eugen, Michael D. Miyamoto, & Nae J. Dun. (2002). Calmodulin increases transmitter release by mobilizing quanta at the frog motor nerve terminal. British Journal of Pharmacology. 137(5). 719–727. 3 indexed citations
4.
5.
Brailoiu, Eugen, Anca Margineanu, & Michael D. Miyamoto. (1998). Angiotensin II and related peptides alter liposomal membrane fluidity. IUBMB Life. 44(1). 203–209. 3 indexed citations
6.
7.
Miyamoto, Michael D., et al.. (1994). Effect of the putative cognitive enhancer, linopirdine (DuP 996), on quantal parameters of acetylcholine release at the frog neuromuscular junction. British Journal of Pharmacology. 111(4). 1103–1110. 7 indexed citations
8.
Miyamoto, Michael D., et al.. (1992). Subcellular Mechanism and site of action of ionic lanthanum at the motor nerve terminal. Neuroreport. 3(1). 101–104. 2 indexed citations
9.
Miyamoto, Michael D., et al.. (1991). Tetrahydroaminoacridine and physostigmine have opposing effects on probability of transmitter release at the frog neuromuscular junction. Neuroscience Letters. 123(1). 127–130. 8 indexed citations
10.
Miyamoto, Michael D., et al.. (1988). Effect of sodium and calcium channel blockade on the increase in spontaneous transmitter release produced by the mitochondrial inhibitor, dinitrophenol.. Journal of Pharmacology and Experimental Therapeutics. 244(2). 613–618. 9 indexed citations
11.
Miyamoto, Michael D. & Shigeru Sasakawa. (1987). A new granulocyte activity test: continuous measurement of granulocyte cell volume in a hypotonic solution.. PubMed. 50(6). 1150–7.
12.
Miyamoto, Michael D.. (1986). Probability of quantal transmitter release from nerve terminals: Theoretical considerations in the determination of spatial variation. Journal of Theoretical Biology. 123(3). 289–304. 21 indexed citations
13.
Miyamoto, Michael D.. (1978). Estimates on magnitude of nonlinear summation of evoked potentials at motor end plate. Journal of Neurophysiology. 41(3). 589–599. 6 indexed citations
14.
Miyamoto, Michael D.. (1977). The actions of cholinergic drugs on motor nerve terminals.. Pharmacological Reviews. 29(3). 221–247. 74 indexed citations
15.
Brănișteanu, Dumitru, Michael D. Miyamoto, & Robert L. Volle. (1976). Effects of physiologic alterations on binomial transmitter release at magnesium‐depressed neuromuscular junctions.. The Journal of Physiology. 254(1). 19–37. 22 indexed citations
16.
Miyamoto, Michael D.. (1975). Binomial analysis of quantal transmitter release at glycerol treated frog neuromuscular junctions.. The Journal of Physiology. 250(1). 121–142. 128 indexed citations
17.
Miyamoto, Michael D. & Bruce McL. Breckenridge. (1974). A Cyclic Adenosine Monophosphate Link in the Catecholamine Enhancement of Transmitter Release at the Neuromuscular Junction. The Journal of General Physiology. 63(5). 609–624. 86 indexed citations
18.
Miyamoto, Michael D. & Robert L. Volle. (1974). Enhancement by Carbachol of Transmitter Release from Motor Nerve Terminals. Proceedings of the National Academy of Sciences. 71(4). 1489–1492. 36 indexed citations
19.
Miyamoto, Michael D. & J. I. Hubbard. (1972). On the Inhibition of Muscle Contraction Caused by Exposure to Hypertonic Solutions. The Journal of General Physiology. 59(6). 689–700. 6 indexed citations
20.
Hubbard, J. I., David F. Wilson, & Michael D. Miyamoto. (1969). Reduction of Transmitter Release by D-Tubocurarine. Nature. 223(5205). 531–533. 58 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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