Michael M. White

883 total citations
27 papers, 730 citations indexed

About

Michael M. White is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Michael M. White has authored 27 papers receiving a total of 730 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Michael M. White's work include Nicotinic Acetylcholine Receptors Study (17 papers), Ion channel regulation and function (12 papers) and Receptor Mechanisms and Signaling (9 papers). Michael M. White is often cited by papers focused on Nicotinic Acetylcholine Receptors Study (17 papers), Ion channel regulation and function (12 papers) and Receptor Mechanisms and Signaling (9 papers). Michael M. White collaborates with scholars based in United States, United Kingdom and Czechia. Michael M. White's co-authors include Yan Dong, Christopher Miller, Roderick MacKinnon, Peter H. Reinhart, Robert E. Taylor, Francisco Bezanilla, Marvin K. Schulte, Mei Song Tong, Robert A. Nichols and Stephen C. Creagh and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Neuron.

In The Last Decade

Michael M. White

26 papers receiving 700 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 M. White United States 13 595 307 78 76 70 27 730
Ebru Aydar United Kingdom 14 1.0k 1.7× 466 1.5× 69 0.9× 84 1.1× 103 1.5× 17 1.2k
Eduardo Molinari United States 14 638 1.1× 237 0.8× 98 1.3× 46 0.6× 66 0.9× 19 873
Enrique L. M. Ochoa Argentina 13 615 1.0× 315 1.0× 73 0.9× 24 0.3× 56 0.8× 31 775
Tommy S. Tillman United States 17 822 1.4× 252 0.8× 63 0.8× 25 0.3× 37 0.5× 30 985
Silvia S. Antollini Argentina 18 754 1.3× 243 0.8× 113 1.4× 14 0.2× 161 2.3× 44 1.0k
M M White United States 18 1.4k 2.4× 749 2.4× 91 1.2× 258 3.4× 84 1.2× 22 1.5k
Michael J. Lenaeus United States 12 777 1.3× 396 1.3× 38 0.5× 333 4.4× 40 0.6× 20 947
Werner Treptow Brazil 20 857 1.4× 414 1.3× 49 0.6× 185 2.4× 30 0.4× 44 1.1k
J. Schmidt United States 15 1.3k 2.2× 759 2.5× 112 1.4× 187 2.5× 85 1.2× 21 1.6k
Kathleen M. Giangiacomo United States 15 962 1.6× 413 1.3× 55 0.7× 390 5.1× 85 1.2× 20 1.2k

Countries citing papers authored by Michael M. White

Since Specialization
Citations

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

Fields of papers citing papers by Michael M. White

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael M. White

This figure shows the co-authorship network connecting the top 25 collaborators of Michael M. White. A scholar is included among the top collaborators of Michael M. White 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 M. White. Michael M. White 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.
Alwassil, Osama I., et al.. (2018). “Methylene Bridge” to 5-HT3 Receptor Antagonists: Conformationally Constrained Phenylguanidines. ACS Chemical Neuroscience. 10(3). 1380–1389. 4 indexed citations
2.
Tong, Mei Song, Naghum Alfulaij, Tessi Sherrin, et al.. (2014). Regulation of Presynaptic Ca2+, Synaptic Plasticity and Contextual Fear Conditioning by a N-terminal β-Amyloid Fragment. Journal of Neuroscience. 34(43). 14210–14218. 40 indexed citations
3.
Creagh, Stephen C. & Michael M. White. (2012). Differences between emission patterns and internal modes of optical resonators. Physical Review E. 85(1). 15201–15201. 12 indexed citations
4.
Tong, Mei Song, Komal Arora, Michael M. White, & Robert A. Nichols. (2011). Role of Key Aromatic Residues in the Ligand-binding Domain of α7 Nicotinic Receptors in the Agonist Action of β-Amyloid. Journal of Biological Chemistry. 286(39). 34373–34381. 38 indexed citations
5.
Hernandez‐Cuebas, Lisa & Michael M. White. (2011). Expression of a biologically-active conotoxin PrIIIE in Escherichia coli. Protein Expression and Purification. 82(1). 6–10. 11 indexed citations
6.
Abrams, Cameron F., et al.. (2010). Mapping Spatial Relationships between Residues in the Ligand-Binding Domain of the 5-Ht3 Receptor Using a Molecular Ruler. Biophysical Journal. 98(9). 1847–1855. 10 indexed citations
7.
Dong, Yan, et al.. (2006). Mapping Residues in the Ligand-Binding Domain of the 5-HT3 Receptor onto d-Tubocurarine Structure. Molecular Pharmacology. 70(2). 571–578. 11 indexed citations
8.
9.
Dong, Yan & Michael M. White. (2005). Spatial Orientation of the Antagonist Granisetron in the Ligand-Binding Site of the 5-HT3 Receptor. Molecular Pharmacology. 68(2). 365–371. 36 indexed citations
10.
White, Michael M.. (2003). The Financial Viability of the Fiji Sugar Corporation: An Assessment from the Corporation's Annual Financial Reports. 1(2). 287. 1 indexed citations
11.
Dong, Yan & Michael M. White. (2002). Interaction of d-tubocurarine analogs with mutant 5-HT3 receptors. Neuropharmacology. 43(3). 367–373. 8 indexed citations
12.
Chen, Zhaoming & Michael M. White. (2000). Forskolin Modulates Acetylcholine Receptor Gating by Interacting with the Small Extracellular Loop Between the M2 and M3 Transmembrane Domains. Cellular and Molecular Neurobiology. 20(5). 569–577. 4 indexed citations
13.
Dong, Yan, et al.. (1999). Structural Features of the Ligand-binding Domain of the Serotonin 5HT3 Receptor. Journal of Biological Chemistry. 274(9). 5537–5541. 74 indexed citations
14.
Dong, Yan, Steen E. Pedersen, & Michael M. White. (1998). Interaction of d-tubocurarine analogs with the 5HT3 receptor. Neuropharmacology. 37(2). 251–257. 27 indexed citations
15.
16.
White, Michael M., et al.. (1992). [23] Ligand-binding assays in Xenopus oocytes. Methods in enzymology on CD-ROM/Methods in enzymology. 207. 368–375. 4 indexed citations
17.
Fluharty, Steven J., Lawrence P. Reagan, & Michael M. White. (1991). Endogenous and Expressed Angiotensin II Receptors on Xenopus Oocytes. Journal of Neurochemistry. 56(4). 1307–1311. 10 indexed citations
18.
White, Michael M., et al.. (1990). Altered patterns ofN-linked glycosylation of theTorpedo acetylcholine receptor expressed inXenopus oocytes. The Journal of Membrane Biology. 115(2). 179–189. 35 indexed citations
19.
MacKinnon, Roderick, Peter H. Reinhart, & Michael M. White. (1988). Charybdotoxin block of Shaker K+ channels suggests that different types of K+ channels share common structural features. Neuron. 1(10). 997–1001. 133 indexed citations
20.
Bezanilla, Francisco, Michael M. White, & Robert E. Taylor. (1982). Gating currents associated with potassium channel activation. Nature. 296(5858). 657–659. 59 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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