Michael G. Erickson

1.4k total citations
9 papers, 1.2k citations indexed

About

Michael G. Erickson is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Michael G. Erickson has authored 9 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Michael G. Erickson's work include Ion channel regulation and function (4 papers), Neuroscience and Neuropharmacology Research (2 papers) and Cardiac electrophysiology and arrhythmias (2 papers). Michael G. Erickson is often cited by papers focused on Ion channel regulation and function (4 papers), Neuroscience and Neuropharmacology Research (2 papers) and Cardiac electrophysiology and arrhythmias (2 papers). Michael G. Erickson collaborates with scholars based in United States. Michael G. Erickson's co-authors include David T. Yue, Masayuki Mori, Badr A. Alseikhan, Blaise Z. Peterson, Carla D. DeMaria, Robert Stern, Kevin J. Webb, Jeffery S. Reynolds, Michael C. Wimberly and Paul E. Bartelt and has published in prestigious journals such as Science, Neuron and SHILAP Revista de lepidopterología.

In The Last Decade

Michael G. Erickson

9 papers receiving 1.2k 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 G. Erickson United States 8 1.0k 606 379 162 154 9 1.2k
Carlos A. Villalba‐Galea United States 19 941 0.9× 611 1.0× 437 1.2× 89 0.5× 25 0.2× 33 1.1k
David N. Parcej Germany 24 2.0k 2.0× 1.0k 1.7× 788 2.1× 106 0.7× 21 0.1× 31 2.3k
Eric Lin Canada 16 451 0.4× 199 0.3× 353 0.9× 111 0.7× 23 0.1× 35 752
Susy C. Kohout United States 11 743 0.7× 385 0.6× 204 0.5× 136 0.8× 49 0.3× 14 841
Kazimierz Kurzydlowski Canada 16 1.5k 1.5× 175 0.3× 1.0k 2.7× 127 0.8× 46 0.3× 18 1.7k
A.G. Filoteo United States 13 1.2k 1.2× 298 0.5× 243 0.6× 232 1.4× 14 0.1× 14 1.4k
Arun Anantharam United States 20 731 0.7× 217 0.4× 188 0.5× 312 1.9× 93 0.6× 41 971
Dorine M. Starace United States 10 1.1k 1.1× 837 1.4× 455 1.2× 52 0.3× 18 0.1× 10 1.3k
Sabine Mann United States 7 953 0.9× 519 0.9× 432 1.1× 107 0.7× 9 0.1× 10 1.1k
Salvador Viniegra Spain 25 1.3k 1.3× 493 0.8× 86 0.2× 755 4.7× 72 0.5× 56 1.6k

Countries citing papers authored by Michael G. Erickson

Since Specialization
Citations

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

Fields of papers citing papers by Michael G. Erickson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael G. Erickson

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

All Works

9 of 9 papers shown
1.
Klaver, Robert W., et al.. (2012). Spatial Analysis of Northern Goshawk Territories in the Black Hills, South Dakota. Ornithological Applications. 114(3). 532–543. 7 indexed citations
2.
Erickson, Michael G. & Robert Stern. (2011). Chain Gangs: New Aspects of Hyaluronan Metabolism. SHILAP Revista de lepidopterología. 2012. 1–9. 71 indexed citations
3.
Mori, Masayuki, Michael G. Erickson, & David T. Yue. (2004). Functional Stoichiometry and Local Enrichment of Calmodulin Interacting with Ca 2+ Channels. Science. 304(5669). 432–435. 165 indexed citations
4.
DeMaria, Carla D., et al.. (2003). Unified Mechanisms of Ca2+ Regulation across the Ca2+ Channel Family. Neuron. 39(6). 951–960. 249 indexed citations
5.
Erickson, Michael G., et al.. (2003). FRET Two-Hybrid Mapping Reveals Function and Location of L-Type Ca2+ Channel CaM Preassociation. Neuron. 39(1). 97–107. 197 indexed citations
6.
Erickson, Michael G., et al.. (2003). DsRed as a Potential FRET Partner with CFP and GFP. Biophysical Journal. 85(1). 599–611. 89 indexed citations
7.
Erickson, Michael G., Badr A. Alseikhan, Blaise Z. Peterson, & David T. Yue. (2001). Preassociation of Calmodulin with Voltage-Gated Ca2+ Channels Revealed by FRET in Single Living Cells. Neuron. 31(6). 973–985. 385 indexed citations
8.
Erickson, Michael G., Jeffery S. Reynolds, & Kevin J. Webb. (1997). Comparison of sensitivity for single-source and dual-interfering-source configurations in optical diffusion imaging. Journal of the Optical Society of America A. 14(11). 3083–3083. 14 indexed citations
9.
Beer, M, J. W. Wiggins, Christian J. Stoeckert, et al.. (1982). STEM studies of biological structure. Ultramicroscopy. 8(1-2). 207–218. 2 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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