Erick Moen

2.7k total citations · 1 hit paper
15 papers, 976 citations indexed

About

Erick Moen is a scholar working on Biotechnology, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Erick Moen has authored 15 papers receiving a total of 976 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Biotechnology, 9 papers in Biomedical Engineering and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Erick Moen's work include Microbial Inactivation Methods (11 papers), Microfluidic and Bio-sensing Technologies (9 papers) and Neuroscience and Neural Engineering (3 papers). Erick Moen is often cited by papers focused on Microbial Inactivation Methods (11 papers), Microfluidic and Bio-sensing Technologies (9 papers) and Neuroscience and Neural Engineering (3 papers). Erick Moen collaborates with scholars based in United States and Norway. Erick Moen's co-authors include Takamasa Kudo, William D. Graf, David Van Valen, Dylan Bannon, Markus W. Covert, Bennett L. Ibey, Hope T. Beier, Caleb C. Roth, Brian L. Chang and Noah F. Greenwald and has published in prestigious journals such as Applied Physics Letters, PLoS ONE and Nature Methods.

In The Last Decade

Erick Moen

15 papers receiving 966 citations

Hit Papers

Deep learning for cellular image analysis 2019 2026 2021 2023 2019 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Deep learning for cellular image analysis
    2019 737 citations Erick Moen, Dylan Bannon et al. Nature Methods profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erick Moen United States 9 464 294 219 159 118 15 976
Alison O’Neil United States 13 272 0.6× 507 1.7× 202 0.9× 100 0.6× 71 0.6× 22 1.1k
Praveen Pankajakshan France 8 355 0.8× 472 1.6× 132 0.6× 103 0.6× 57 0.5× 19 1.2k
Alice Lucas United States 7 222 0.5× 552 1.9× 175 0.8× 124 0.8× 65 0.6× 15 1.4k
Yoann Le Montagner France 5 350 0.8× 477 1.6× 139 0.6× 106 0.7× 54 0.5× 7 1.2k
David Van Valen United States 9 615 1.3× 926 3.1× 241 1.1× 166 1.0× 149 1.3× 14 1.9k
Andrew R. Cohen United States 19 544 1.2× 1.1k 3.8× 245 1.1× 129 0.8× 94 0.8× 44 2.1k
Philippe Van Ham Belgium 16 183 0.4× 228 0.8× 145 0.7× 105 0.7× 49 0.4× 30 795
Minh Doan United States 11 813 1.8× 920 3.1× 314 1.4× 242 1.5× 330 2.8× 21 2.1k
Yingke Xu China 23 525 1.1× 515 1.8× 440 2.0× 145 0.9× 58 0.5× 99 1.7k
Derek Thirstrup United States 7 414 0.9× 820 2.8× 166 0.8× 109 0.7× 68 0.6× 11 1.4k

Countries citing papers authored by Erick Moen

Since Specialization
Citations

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

Fields of papers citing papers by Erick Moen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erick Moen

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

All Works

15 of 15 papers shown
1.
Bannon, Dylan, Erick Moen, Morgan Schwartz, et al.. (2021). DeepCell Kiosk: scaling deep learning–enabled cellular image analysis with Kubernetes. Nature Methods. 18(1). 43–45. 86 indexed citations
2.
Moen, Erick, Dylan Bannon, Takamasa Kudo, et al.. (2019). Deep learning for cellular image analysis. Nature Methods. 16(12). 1233–1246. 737 indexed citations breakdown →
3.
Kalia, Rajiv K., Erick Moen, Aiichiro Nakano, et al.. (2019). Game-Engine-Assisted Research platform for Scientific computing (GEARS) in Virtual Reality. SoftwareX. 9. 112–116. 12 indexed citations
4.
Roth, Caleb C., et al.. (2018). The interphase interval within a bipolar nanosecond electric pulse modulates bipolar cancellation. Bioelectromagnetics. 39(6). 441–450. 22 indexed citations
5.
Roth, Caleb C., et al.. (2017). Asymmetrical bipolar nanosecond electric pulse widths modify bipolar cancellation. Scientific Reports. 7(1). 16372–16372. 37 indexed citations
6.
Roth, Caleb C., Hope T. Beier, Gary D. Noojin, et al.. (2017). Probe beam deflection optical imaging of thermal and mechanical phenomena resulting from nanosecond electric pulse (nsEP) exposure in-vitro. Optics Express. 25(6). 6621–6621. 8 indexed citations
7.
Moen, Erick, et al.. (2016). iBET: Immersive visualization of biological electron-transfer dynamics. Journal of Molecular Graphics and Modelling. 65. 94–99. 9 indexed citations
8.
Moen, Erick, Bennett L. Ibey, Hope T. Beier, & Andrea Armani. (2016). Quantifying pulsed electric field-induced membrane nanoporation in single cells. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1858(11). 2795–2803. 16 indexed citations
9.
Roth, Caleb C., Randolph D. Glickman, Gleb P. Tolstykh, et al.. (2016). Evaluation of the Genetic Response of U937 and Jurkat Cells to 10-Nanosecond Electrical Pulses (nsEP). PLoS ONE. 11(5). e0154555–e0154555. 12 indexed citations
10.
Moen, Erick, Hope T. Beier, Bennett L. Ibey, & Andrea M. Armani. (2016). The role of membrane dynamics in electrical and infrared neural stimulation. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9719. 97190E–97190E. 1 indexed citations
11.
Moen, Erick, Bennett L. Ibey, Hope T. Beier, & Andrea M. Armani. (2016). Investigating membrane nanoporation induced by bipolar pulsed electric fields via second harmonic generation. Applied Physics Letters. 109(11). 8 indexed citations
12.
Moen, Erick, Hope T. Beier, Gary L. Thompson, Andrea M. Armani, & Bennett L. Ibey. (2015). Nonlinear imaging of lipid membrane alterations elicited by nanosecond pulsed electric fields. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9326. 93260T–93260T. 2 indexed citations
13.
Roth, Caleb C., et al.. (2015). Cells exposed to nanosecond electrical pulses exhibit biomarkers of mechanical stress. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9326. 932612–932612. 2 indexed citations
14.
Moen, Erick, Bennett L. Ibey, & Hope T. Beier. (2014). Detecting Subtle Plasma Membrane Perturbation in Living Cells Using Second Harmonic Generation Imaging. Biophysical Journal. 106(10). L37–L40. 19 indexed citations
15.
Moen, Erick, et al.. (2013). Changes in protein expression of U937 and Jurkat cells exposed to nanosecond pulsed electric fields. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8585. 85850R–85850R. 5 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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